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WoS SCOPUS Document Type Document Title Abstract Authors Affiliation ResearcherID (WoS) AuthorsID (SCOPUS) Author Email(s) Journal Name JCR Abbreviation ISSN eISSN Volume Issue WoS Edition WoS Category JCR Year IF JCR (%) FWCI FWCI Update Date WoS Citation SCOPUS Citation Keywords (WoS) KeywordsPlus (WoS) Keywords (SCOPUS) KeywordsPlus (SCOPUS) Language Publication Stage Publication Year Publication Date DOI JCR Link DOI Link WOS Link SCOPUS Link
Article Induction of GDNF and GFRα-1 Following AAV1-Rheb(S16H) Administration in the Hippocampus in vivo The activation of neurotrophic signaling pathways following the upregulation of glial cell line-derived neurotrophic factor (GDNF), a member of the transforming growth factor-beta family, has a potential neuroprotective effect in the adult brain. Herein, We report that hippocampal transduction of adeno-associated virus serotype 1 (AAV1) with a constitutively active form of ras homolog enriched in brain [Rheb(S16H)], which can stimulate the production of brain-derived neurotrophic factor (BDNF) in hippocarnpal neurons, induces the increases in expression of GDNF and GDNF family receptor alpha-1 (GFR alpha-1), in neurons and astrocytes in the hippocampus of rat brain in vivo. Moreover, upregulation of GDNF and GFR alpha-1 contributes to neuroprotection against thrombin-induced neurotoxicity in the hippocampus. These results suggest that AAV1-Rheb(S16H) transduction of hippocampal neurons, resulting in neurotrophic interactions between neurons and astrocytes, may be useful for neuroprotection in the adult hippocampus. Yun, Dongyoung; Jeon, Min-Tae; Kim, Hyung-Jun; Moon, Gyeong Joon; Lee, Shinrye; Ha, Chang Man; Shin, Minsang; Kim, Sang Ryong Kyungpook Natl Univ, Sch Life Sci, Daegu 41566, South Korea; Kyungpook Natl Univ, BK21 Plus KNU Creat BioRes Grp, Daegu 41566, South Korea; Kyungpook Natl Univ, Brain Sci & Engn Inst, Daegu 41566, South Korea; Dementia Res Grp, Daegu 41068, South Korea; Neurodegenerat Dis Grp, Daegu 41068, South Korea; Korea Brain Res Inst, Res Div, Daegu 41068, South Korea; Korea Brain Res Inst, Brain Res Core Facil, Daegu 41068, South Korea; Kyungpook Natl Univ, Sch Med, Dept Microbiol, Daegu 41944, South Korea ; Moon, Gyeong/P-7878-2019 57217134490; 56018969800; 57191717907; 8323365700; 17342428400; 7202560711; 7401536650; 56486163800 srk75@knu.ac.kr; EXPERIMENTAL NEUROBIOLOGY EXP NEUROBIOL 1226-2560 2093-8144 29 2 SCIE MEDICINE, RESEARCH & EXPERIMENTAL;NEUROSCIENCES 2020 3.261 60.4 0.68 2025-06-25 12 14 Rheb(S16H); Hippocampus; Astrocyte; GDNF Neuroprotection NEUROTROPHIC FACTOR; DOPAMINE NEURONS; PROTECTS; BDNF; TRANSDUCTION; GENE; HRHEB(S16H); RASAGILINE; EXPRESSION; COMPLEX Astrocyte; GDNF; Hippocampus; Neuroprotection; Rheb(S16H) adeno associated virus vector; brain derived neurotrophic factor; glial cell line derived neurotrophic factor; glial cell line derived neurotrophic factor receptor; glial cell line derived neurotrophic factor receptor alpha 1; mammalian target of rapamycin complex 1; Rheb protein; thrombin; unclassified drug; Adeno associated virus 1; animal cell; animal experiment; animal model; animal tissue; Article; astrocyte; astrocyte culture; cell count; cell interaction; cell population; controlled study; female; hippocampal CA1 region; hippocampus; in vivo study; intrahippocampal drug administration; microglia; neuroprotection; neurotoxicity; nonhuman; practice guideline; protein expression; rat; serotype; signal transduction; upregulation English 2020 2020-04 10.5607/en19075 바로가기 바로가기 바로가기 바로가기
Article Interlaboratory comparison of humic substances compositional space as measured by Fourier transform ion cyclotron resonance mass spectrometry (IUPAC Technical Report) Interlaboratory comparison on the determination of the molecular composition of humic substances (HS) was undertaken in the framework of IUPAC project 2016-015-2-600. The analysis was conducted using high resolution mass spectrometry, nominally, Fourier transform ion cyclotron resonance mass spectrometry (FTICR MS) with electrospray ionization. Six samples of HS from freshwater, soil, and leonardite were used for this study, including one sample of humic acids (HA) from coal (leonardite), two samples of soil HA (the sodpodzolic soil and chernozem), two samples of soil fulvic acids (FA) (the sod-podzolic soil and chernozem), and one sample of freshwater humic acids (the Suwannee River). The samples were analyzed on five different FTICR MS instruments using the routine conditions applied in each participating laboratory. The results were collected as mass lists, which were further assigned formulae for the determination of molecular composition. The similarity of the obtained data was evaluated using appropriate statistical metrics. The results have shown that direct comparison of discrete stoichiometries assigned to the mass lists obtained by the different laboratories yielded poor results with low values of the Jaccard similarity score - not exceeding 0.56 (not more than 56 % of the similar peaks). The least similarity was observed for the aromatics-rich HA samples from leonardite (coal) and the chernozem soil, which might be connected to difficulties in their ionization. The reliable similarity among the data obtained in this intercomparison study was achieved only by transforming a singular point (stoichiometry) in van Krevelen diagram into a sizeable pixel (a number of closely located stoichiometries), which can be calculated from the population density distribution. The conclusion was made that, so far, these are descriptors of occupation density distribution, which provide the metrics compliant with the data quality requirements, such as the reproducibility of the data measurements on different instruments. Zherebker, Alexander; Kim, Sunghwan; Schmitt-Kopplin, Philippe; Spencer, Robert G. M.; Lechtenfeld, Oliver; Podgorski, David C.; Hertkorn, Norbert; Harir, Mourad; Nurfajin, Nissa; Koch, Boris; Nikolaev, Eugene N.; Shirshin, Evgeny A.; Berezin, Sergey A.; Kats, Dmitry S.; Rukhovich, Gleb D.; Perminova, Irina, V Lomonosov Moscow State Univ, Dept Chem, Moscow, Russia; Skolkovo Inst Sci & Technol, Skolkovo, Russia; Kyungpook Natl Univ, Dept Chem, Daegu, South Korea; Helmholtz Zentrum Muenchen, Res Unit Analyt Biogeochem, Munich, Germany; Florida State Univ, Earth Ocean & Atmospher Sci, Tallahassee, FL 32306 USA; Helmholtz Zentrum Leipzig, Leipzig, Germany; Univ New Orleans, Dept Chem, Pontchartrain Inst Environm Sci, New Orleans, LA 70148 USA; Alfred Wegener Inst Marine & Arctic Res, Bremerhaven, Germany; Lomonosov Moscow State Univ, Dept Phys, Moscow, Russia; Lomonosov Moscow State Univ, Dept Comp Math, Moscow, Russia ; Lechtenfeld, Oliver/A-6480-2013; Kim, Sunghwan/HKN-9812-2023; Spencer, Robert/ADE-1993-2022; Nikolaev, Eugene/N-4498-2013; Schmitt-Kopplin, Philippe/H-6271-2011; Perminova, Irina/E-2121-2013; Solihat, Nissa/GVT-7174-2022; Shirshin, Evgeny/AAY-6194-2021; Hertkorn, Norbert/AAA-5990-2022; Podgorski, David/A-5532-2010; Zherebker, Alexander/AAE-8444-2021; Koch, Boris/B-2784-2009 56245448000; 57203772967; 35499111100; 15063517300; 54412665300; 26423883600; 55915890400; 22950300200; 57199653322; 56382045300; 55394217800; 23006560000; 57219895947; 57073574600; 57028506500; 57218886637 iperm@med.chem.msu.ru; PURE AND APPLIED CHEMISTRY PURE APPL CHEM 0033-4545 1365-3075 92 9 SCIE CHEMISTRY, MULTIDISCIPLINARY 2020 2.453 60.4 0.92 2025-06-25 18 18 Chemical library; complex systems; compositional space; Fourier transform ion cyclotron mass spectrometry; humic substances; intercalibration; natural organic matter; reproducibility DISSOLVED ORGANIC-MATTER; ELECTROSPRAY-IONIZATION; RESOLUTION; SPECTRA; ACIDS; PARAMETERS; CHEMISTRY; MARINE; WATERS; PEAT Chemical library; complex systems; compositional space; Fourier transform ion cyclotron mass spectrometry; humic substances; intercalibration; natural organic matter; reproducibility Cyclotrons; Electron cyclotron resonance; Electrospray ionization; Mass spectrometry; Metadata; Organic acids; Silicon compounds; Soils; Stoichiometry; Water; Density distributions; Fourier transform ion cyclotron resonance mass spectrometry; Freshwater humic acid; High resolution mass spectrometry; Interlaboratory comparison; Molecular compositions; Population density distribution; Reproducibilities; Population statistics English 2020 2020-09 10.1515/pac-2019-0809 바로가기 바로가기 바로가기 바로가기
Review; Book Chapter Regulation of aquaporin-2 by RNA interference MicroRNAs (miRNAs) are short non-coding RNAs that interact with 30-untranslated regions of mRNAs. miRNAs modulate gene expression by regulating mRNA translation and provide novel insights into the complex regulation of protein expression and function. In this chapter, we describe the general features of RNA interference, identification of miRNAs, and interaction of miRNAs with their target genes. In particular, we have shown that several miRNAs are responsive to arginine vasopressin or aldosterone stimulation in mouse cortical collecting duct mpkCCD cells. Moreover, we identified both miR-32 and miR-137 as AQP2-targeting miRNAs using in silico analysis and also identified several target genes of miR-32 and miR-137. As the target sequences of miR-32 and miR-137 are commonly found in mRNAs of vasopressin-regulated genes, further studies regarding the interaction of miRNAs with their target genes are required to obtain comprehensive understanding of miRNA-regulated AQP2 expression in kidney collecting duct cells. Jung, Hyun Jun; Park, Eui-Jung; Choi, Hyo-Jung; Kwon, Tae-Hwan Johns Hopkins Univ, Sch Med, Dept Med, Div Nephrol, Baltimore, MD 21205 USA; Kyungpook Natl Univ, Sch Med, Dept Biochem & Cell Biol, Taegu, South Korea ; Kwon, Tae-Hwan/ABA-1981-2020; PARK, EUIJUNG/LMO-3130-2024; Jung, Hyun Jun/LKM-4480-2024 36985354100; 50961544700; 56296381300; 7202206089 thkwon@knu.ac.kr; AQUAPORIN REGULATION VITAM HORM 0083-6729 112 SCIE BIOCHEMISTRY & MOLECULAR BIOLOGY;ENDOCRINOLOGY & METABOLISM 2020 3.421 60.5 0.27 2025-06-25 2 2 INTERCALATED CELL SUBTYPES; CORTICAL COLLECTING DUCT; MICRORNA EXPRESSION; RENAL FIBROSIS; DIABETIC-NEPHROPATHY; COLLAGEN EXPRESSION; KIDNEY; ALDOSTERONE; VASOPRESSIN; MOUSE Aquaporin-2; Collecting duct; MicroRNA; Post-transcriptional regulation; RNA interference; Small interfering RNA; Vasopressin Aldosterone; Animals; Aquaporin 2; Humans; Kidney Tubules, Collecting; Mice; MicroRNAs; Neurophysins; Protein Precursors; RNA Interference; Vasopressins; aldosterone; aquaporin 2; AVP protein, human; microRNA; MIRN137 microRNA, human; neurophysin; protein precursor; vasopressin derivative; animal; human; kidney collecting tubule; metabolism; mouse; RNA interference English 2020 2020 10.1016/bs.vh.2019.08.003 바로가기 바로가기 바로가기 바로가기
Article Seed Priming Influence on Growth, Yield, and Grain Biochemical Composition of Two Wheat Cultivars The influence of seed priming on the growth, amino and fatty acids contents of two wheat (Triticum aestivum L.) cvs. Keumkang and Backjung were evaluated through pot experiments in greenhouse and at field conditions. Four priming treatments involving three soaking media: 2.5% potassium Chloride (KCl), 1% potassium Sulfate (K2SO4), distilled water (1120) and unprimed (dry seeds) as the control were laid out in a randomized complete block design with four replications for each experimental condition. Under greenhouse condition, 1% K2SO4 priming enhanced growth and yield of wheat, while 2.5% KCl reduced the dry matter yield in Keumkang, but not in Backjung. In field condition, 1% K2SO4 improved the growth of both cultivars and increased the yield of Backjung, while 2.5% KCl in Keumkang had the lowest yield. Overall, this study showed that seed priming with 2.5% KCl and 1% K2SO4 triggered specific changes in the Amino Acids (AA) and Fatty Acids (FA) compositions in grain and had carry-over effects on the plant's metabolic adjustments, which were specific to the cultivar and the growing environmental conditions. The compositional changes in AA and FA induced by seed priming have a profound impact on grain and flour quality of wheat. Khaing, M.; Ultra, V. U., Jr.; Lee, S. Chul Kyungpook Natl Univ, Coll Agr & Life Sci, Sch Appl Biosci, Daegu, South Korea; Botswana Int Univ Sci & Technol, Fac Sci, Dept Earth & Environm Sci, Palapye, Botswana UltraJr, Venecio/L-8970-2016 57216613337; 8514704700; 57213176183 vuultra@gmail.com;leesc@knu.ac.edu; JOURNAL OF AGRICULTURAL SCIENCE AND TECHNOLOGY J AGR SCI TECH-IRAN 1680-7073 22 3 SCIE AGRICULTURE, MULTIDISCIPLINARY 2020 1.098 60.5 0.5 2025-06-25 5 6 Amino acid profile; Fatty acid profile; Potassium chloride; Potassium sulfate; Triticum aestivum L. UNSATURATED FATTY-ACIDS; TRITICUM-AESTIVUM L.; STRESS TOLERANCE; MEMBRANE-LIPIDS; GERMINATION; FERTILIZATION; POTASSIUM; WATER Amino acid profile; Fatty acid profile; Potassium chloride; Potassium sulfate; Triticum aestivum L English 2020 2020 바로가기 바로가기 바로가기
Article Specifying the Random Effect Structure in Linear Mixed Effect Models for Analyzing Psycholinguistic Data Linear Mixed Effect Models (LMEM) have become a popular method for analyzing nested experimental data, which are often encountered in psycholinguistics and other fields. This approach allows experimental results to be generalized to the greater population of both subjects and experimental stimuli. In an influential paper Bar and his colleagues (2013; https://doi.org/ 10.1016/j.jml.2012.11.001) recommend specifying the maximal random effect structure allowed by the experimental design, which includes random intercepts and random slopes for all within-subjects and within-items experimental factors, as well as correlations between the random effects components. The goal of this paper is to formally investigate whether their recommendations can be generalized to wider variety of experimental conditions. The simulation results revealed that complex models (i.e., with more parameters) lead to a dramatic increase in the non-convergence rate. Furthermore, AIC and BIC were found to select the true model in the majority of cases, although selection accuracy varied by LMEM random effect structure. Park, Jungkyu; Cardwell, Ramsey; Yu, Hsiu-Ting Kyungpook Natl Univ, Dept Psychol, Daegu, South Korea; Univ N Carolina, Dept Educ Res Methodol, Greensboro, NC USA; Natl Chengchi Univ, Dept Psychol, 64 Sec 2,Zhinan Rd, Taipei 11605, Taiwan; Natl Chengchi Univ, Res Ctr Mind Brain & Learning, Taipei, Taiwan ; Cardwell, Ramsey/KIC-9256-2024 56206565000; 57214218170; 55913670000 hsiutingyu@gmail.com; METHODOLOGY-EUROPEAN JOURNAL OF RESEARCH METHODS FOR THE BEHAVIORAL AND SOCIAL SCIENCES METHODOLOGY-EUR 1614-1881 1614-2241 16 2 SSCI PSYCHOLOGY, MATHEMATICAL;SOCIAL SCIENCES, MATHEMATICAL METHODS 2020 1.865 60.6 0.49 2025-06-25 13 11 linear mixed-effect models; psycholinguistic data; random effect structure; model specification; random effects FIXED-EFFECT FALLACY; LANGUAGE; ERROR Linear mixed-effect models; Model specification; Psycholinguistic data; Random effect structure; Random effects English 2020 2020-06 10.5964/meth.2809 바로가기 바로가기 바로가기 바로가기
Article Concomitant injuries and complications according to categories of pan-facial fracture: a retrospective study Purpose: The purpose of this study was to investigate concomitant injuries and complications in patients with panfacial fracture (PF) according to patterns of PF. Materials and methods: PF is defined as fractures involving at least three of the four facial parts (frontal, upper midface, lower midface, and mandible). The data for this study were retrospectively analysed. A simple regression analysis, Cramer's V analysis, and Pearson's correlation analysis were used for verifying significance and correlation between the investigated factors and patterns of PF. Short-term postoperative surgical complications were classified according to the Clavien-Dindo classification (CDC). Results: There was a statistically significant association between age and PF pattern (ULM: 44.9 +/- 19.2; FUL: 42.0 +/- 16.8; FULM: 33.6 +/- 15.3; FUM: 65; p = 0.024), between the cause of injury and PF pattern (p = 0.047), and between operative time and fracture pattern (ULM: 4h 45min +/- 2h 21min; FUL: 5h 19min +/- 2h 54min; FULM: 7h 19min +/- 4h 13min; FUM: 2h 15min +/- 0; p = 0.008). 89% of patients had concomitant injuries in other body parts. In the CDC grade groups, rade IVa cases (n = 4) showed statistically significant differences with PF patterns (p = 0.006). Of all the patients, 58.6% (n = 58) complained of postoperative complications. Conclusion: PF patients can have different fracture patterns, depending on age and cause of trauma. Consequently, different PF patterns have different types of concomitant injuries and complications. PF patients with frontal area fracture have higher CDC grades, and may need ICU care. Therefore, classifying PFs will be a first step towards a systemic approach for treating and reducing complications. (C) 2020 European Association for Cranio-Maxillo-Facial Surgery. Published by Elsevier Ltd. All rights reserved. Jang, Seong-Baek; Choi, So-Young; Kwon, Tae-Geon; Kim, Jin-Wook Kyungpook Natl Univ, Sch Dent, Dept Oral & Maxillofacial Surg, 2177 Dalgubeol Daero, Daegu 41940, South Korea 57204462661; 57202918688; 35205433300; 55862646000 84pollyman@hanmail.net;dentalchoi@knu.ac.kr;kwondk@knu.ac.kr;vocaleo@knu.ac.kr; JOURNAL OF CRANIO-MAXILLOFACIAL SURGERY J CRANIO MAXILL SURG 1010-5182 1878-4119 48 4 SCIE DENTISTRY, ORAL SURGERY & MEDICINE;SURGERY 2020 2.078 60.9 0.87 2025-06-25 10 12 Panfacial fracture (PF); Concomitant injury; Complication; Clavien-dindo classification system PANFACIAL FRACTURE; BOTTOM-UP; INTUBATION; MANAGEMENT; MAXILLARY; TRAUMA Clavien-dindo classification system; Complication; Concomitant injury; Panfacial fracture (PF) Humans; Operative Time; Postoperative Complications; Retrospective Studies; Skull Fractures; adult; age; aged; alopecia; amnesia; anosmia; arm weakness; Article; atrophy; axonal injury; body regions; brachial plexus neuropathy; cerebrospinal fluid rhinorrhea; child; Clavien Dindo classification; clinical classification; cognitive defect; conduct disorder; conduction deafness; convergent strabismus; cubital tunnel syndrome; death; diffuse axonal injury; diplopia; divergent strabismus; dysarthria; dyskinesia; dysphagia; emotional disorder; enophthalmos; entropion; epilepsy; epiphora; face asymmetry; face fracture; facial nerve paralysis; female; fracture nonunion; fracture treatment; gait disorder; headache; hemiplegia; human; limb weakness; low tension glaucoma; major clinical study; male; malocclusion; mandible fracture; maxilla sinusitis; maxillofacial surgery; memory disorder; micturition disorder; middle aged; motor dysfunction; muscle spasm; mydriasis; nerve paralysis; neurogenic bladder; neurogenic bowel; neuropathic pain; operation duration; ophthalmectomy; ophthalmoplegia; oral surgery; panic; paresthesia; perception deafness; postoperative complication; posttraumatic stress disorder; ptosis (eyelid); quadriplegia; range of motion; retrospective study; rhinostenosis; school child; sciatica; sclera disease; sinusitis; spine injury; temporomandibular ankylosis; tinnitus; traumatic epilepsy; trigeminus neuralgia; very elderly; vestibular disorder; visual disorder; young adult; postoperative complication; skull fracture English 2020 2020-04 10.1016/j.jcms.2020.02.018 바로가기 바로가기 바로가기 바로가기
Article Stability of lingual plate osteotomy in orthognathic surgery for patients with severe facial asymmetry: A retrospective analysis with 1-year follow-up This study aimed to evaluate the stability of lingual plate osteotomy after sagittal split ramus osteotomy (SSRO) in patients with severe facial asymmetry. It included 20 patients undergoing lingual plate osteotomy between January 2011 and January 2017. Cephalometric X-ray imaging and three-dimensional computed tomography (3DCT) were performed before the operation and then 1 day and 1 year after the operation. The relapse rate and postoperative complications were assessed. The operation time was compared between lingual plate osteotomy and transoral angle osteotomy. Specific values measured on cephalometric X-ray and 3DCT images showed significant changes 1 day after the operation, with 47.9% correction occurring in the occlusal plane angle (mean +/- SD = 1.74 +/- 0.84 degrees, p < 0.05). However, no significant differences were found between measurements taken 1 day and 1 year after the operation, with a 5% change seen in the occlusal plane angle (mean +/- SD = 0.1 +/- 0.24 degrees, p = 0.61), suggesting that the surgical outcomes can be well maintained for at least 1 year after surgery. Three patients experienced numbness postoperatively but recovered within 1 year. The operation time for lingual plate osteotomy was shorter than that for transoral angle osteotomy. Our findings indicate that lingual plate osteotomy after SSRO is stable, effective, and safe in patients with severe facial asymmetry. (C) 2020 European Association for Cranio-Maxillo-Facial Surgery. Published by Elsevier Ltd. All rights reserved. Jeon, Hyeon Jun; Lee, Joon Seok; Lee, Jeong Woo; Yang, Jung Dug; Chung, Ho Yun; Cho, Byung Chae; Choi, Kang Young Kyungpook Natl Univ, Dept Plast & Reconstruct Surg, Sch Med, 130 Dongdeok Ro, Daegu 700421, South Korea Yang, Jung/R-7806-2019; LEE, JIN/Q-3108-2018 57201068256; 56496041000; 55892173700; 55171704700; 7404007181; 55662871100; 57203745682 kychoi@knu.ac.kr; JOURNAL OF CRANIO-MAXILLOFACIAL SURGERY J CRANIO MAXILL SURG 1010-5182 1878-4119 48 2 SCIE DENTISTRY, ORAL SURGERY & MEDICINE;SURGERY 2020 2.078 60.9 0.87 2025-06-25 7 9 Facial asymmetry; Orthognathic surgery; Sagittal split ramus osteotomy SPLIT RAMUS OSTEOTOMY; SAGITTAL OSTEOTOMY; RELAPSE Facial asymmetry; Orthognathic surgery; Sagittal split ramus osteotomy Adult; Cephalometry; Facial Asymmetry; Female; Follow-Up Studies; Humans; Imaging, Three-Dimensional; Male; Mandible; Middle Aged; Orthognathic Surgery; Osteotomy; Osteotomy, Sagittal Split Ramus; Prognathism; Retrospective Studies; Tomography, X-Ray Computed; Young Adult; adult; Article; cephalometry; clinical article; clinical outcome; comparative study; computer assisted tomography; disease severity; face asymmetry; face malformation; female; follow up; human; infralabial numbness; Le Fort I osteotomy; lingual plate osteotomy; male; mandible osteotomy; operation duration; orthognathic surgery; panoramic radiography; paresthesia; postoperative complication; prognathia; recurrence risk; retrospective study; sagittal split ramal osteotomy; surgical patient; three-dimensional imaging; transoral angle osteotomy; face asymmetry; mandible; middle aged; osteotomy; procedures; sagittal split ramal osteotomy; x-ray computed tomography; young adult English 2020 2020-02 10.1016/j.jcms.2019.12.014 바로가기 바로가기 바로가기 바로가기
Article An Ensemble Stochastic Forecasting Framework for Variable Distributed Demand Loads Accurate forecasting of demand load is momentous for the efficient economic dispatch of generating units with enormous economic and reliability implications. However, with the high integration levels of grid-tie generations, the precariousness in demand load forecasts is unreliable. This paper proposes a data-driven stochastic ensemble model framework for short-term and long-term demand load forecasts. Our proposed framework reduces uncertainties in the load forecast by fusing homogenous models that capture the dynamics in load state characteristics and exploit model diversities for accurate prediction. The ensemble model caters for factors such as meteorological and exogenous variables that affect load prediction accuracy with adaptable, scalable algorithms that consider weather conditions, load features, and state characteristics of the load. We defined a heuristic trained combiner model and an error correction model to estimate the contributions and compensate for forecast errors of each prediction model, respectively. Acquired data from the Korean Electric Power Company (KEPCO), and building data from the Korea Research Institute, together with testbed datasets, were used to evaluate the developed framework. The results obtained prove the efficacy of the proposed model for demand load forecasting. Agyeman, Kofi Afrifa; Kim, Gyeonggak; Jo, Hoonyeon; Park, Seunghyeon; Han, Sekyung Kyungpook Natl Univ, Elect Engn Dept, Daegu 41566, South Korea 56925217000; 57217028396; 57217029305; 57202963180; 36023785800 kofiagyeman@knu.ac.kr;kakkyoung2@gmail.com;hyjo1006@naver.com;mrbbbark@gmail.com;skhan@knu.ac.kr; ENERGIES ENERGIES 1996-1073 13 10 SCIE ENERGY & FUELS 2020 3.004 61.0 0.65 2025-06-25 10 10 Bayesian; deep neural network; demand load forecast; distributed load; ensemble algorithm stochastic; K-means SUPPORT VECTOR REGRESSION; SHORT-TERM; ENERGY-CONSUMPTION; NEURAL-NETWORKS; ELECTRICITY CONSUMPTION; RESIDENTIAL BUILDINGS; COMMERCIAL BUILDINGS; PREDICTION; MANAGEMENT; OCCUPANCY Bayesian; Deep neural network; Demand load forecast; Distributed load; Ensemble algorithm stochastic; K-means Electric load dispatching; Electric power plant loads; Electric utilities; Error correction; Forecasting; Scheduling; State estimation; Stochastic systems; Accurate prediction; Electric power company; Error correction models; Exogenous variables; High integration level; Research institutes; Scalable algorithms; State characteristics; Stochastic models English 2020 2020-05 10.3390/en13102658 바로가기 바로가기 바로가기 바로가기
Article Application of Genetic Algorithm for More Efficient Multi-Layer Thickness Optimization in Solar Cells Thin-film solar cells are predominately designed similar to a stacked structure. Optimizing the layer thicknesses in this stack structure is crucial to extract the best efficiency of the solar cell. The commonplace method used in optimization simulations, such as for optimizing the optical spacer layers' thicknesses, is the parameter sweep. Our simulation study shows that the implementation of a meta-heuristic method like the genetic algorithm results in a significantly faster and accurate search method when compared to the brute-force parameter sweep method in both single and multi-layer optimization. While other sweep methods can also outperform the brute-force method, they do not consistently exhibit 100% accuracy in the optimized results like our genetic algorithm. We have used a well-studied P3HT-based structure to test our algorithm. Our best-case scenario was observed to use 60.84% fewer simulations than the brute-force method. Vincent, Premkumar; Sergio, Gwenaelle Cunha; Jang, Jaewon; Kang, In Man; Park, Jaehoon; Kim, Hyeok; Lee, Minho; Bae, Jin-Hyuk Kyungpook Natl Univ, Sch Elect Engn, 80 Daehakro, Daegu 41566, South Korea; Hallym Univ, Coll Software, Chunchon 24252, South Korea; Univ Seoul, Dept Elect & Comp Engn, 163 Seoulsiripdaero, Seoul 02504, South Korea; Kyungpook Natl Univ, Dept Artificial Intelligence, 80 Daehakro, Daegu 41566, South Korea Vincent, Premkumar/C-3190-2019 57189221688; 57188756097; 57194107504; 7203062678; 55717156300; 57191718658; 57191730119; 35326180700 2014600014@knu.ac.kr;gwena.cs@gmail.com;j1jang@knu.ac.kr;imkang@ee.knu.ac.kr;jaypark@hallym.ac.kr;hyeok.kim@uos.ac.kr;mholee@knu.ac.kr;jhbae@ee.knu.ac.kr; ENERGIES ENERGIES 1996-1073 13 7 SCIE ENERGY & FUELS 2020 3.004 61.0 0.87 2025-06-25 15 15 genetic algorithm; solar cell optimization; finite difference time domain; optical modelling Finite difference time domain; Genetic algorithm; Optical modelling; Solar cell optimization Finite difference time domain method; Genetic algorithms; Thin film solar cells; Time domain analysis; Meta-heuristic methods; Optical modelling; Optimization-simulation; Search method; Simulation studies; Solar cell optimization; Stack structure; Stacked structure; Heuristic methods English 2020 2020-04 10.3390/en13071726 바로가기 바로가기 바로가기 바로가기
Article Development of a Static Equivalent Model for Korean Power Systems Using Power Transfer Distribution Factor-Based k-Means plus plus Algorithm This paper presents a static network equivalent model for Korean power systems. The proposed equivalent model preserves the overall transmission network characteristics focusing on power flows among areas in Korean power systems. For developing the model, a power transfer distribution factor (PTDF)-based k-means++ algorithm was used to cluster the bus groups in which similar PTDF characteristics were identified. For the reduction process, the bus groups were replaced by a single bus with a generator or load, and an equivalent transmission line was determined to maintain power flows in the original system model. Appropriate voltage levels were selected, and compensation for real power line losses was made for the correct representation. A Korean power system with more than 1600 buses was reduced to a 38-bus system with 13 generators, 25 loads, and 74 transmission lines. The effectiveness of the developed equivalent model was evaluated by performing power flow simulations and comparisons of various characteristics of the original and reduced systems. The simulation comparisons show that the developed equivalent model maintains inter-area power flows as close as possible to the original Korean power systems. Lee, Bae-Geun; Lee, Joonwoo; Kim, Soobae Kyungpook Natl Univ, Sch Elect & Elect Engn, Dept Elect Engn, Daegu 41566, South Korea 57211000311; 57209469100; 55377374400 dlqorms2@knu.ac.kr;jwl@knu.ac.kr;soobae.kim@knu.ac.kr; ENERGIES ENERGIES 1996-1073 13 24 SCIE ENERGY & FUELS 2020 3.004 61.0 0.28 2025-06-25 2 4 critical energy infrastructure information; power system equivalent; power transfer distribution factor; k-means and k-means plus plus clustering algorithm; bus aggregation; voltage level selection; line loss compensation; Korean power systems Bus aggregation; Critical energy infrastructure information; K-means and k-means++ clustering algorithm; Korean power systems; Line loss compensation; Power system equivalent; Power transfer distribution factor; Voltage level selection Electric lines; Electric load flow; Energy transfer; K-means clustering; Equivalent transmission line; Korean power systems; Network characteristics; Original system model; Power flow simulation; Power transfer distribution factors; Reduction process; Simulation comparison; Electric power transmission English 2020 2020-12 10.3390/en13246663 바로가기 바로가기 바로가기 바로가기
Article Effect of RF Power on the Properties of Sputtered-CuS Thin Films for Photovoltaic Applications Copper sulfide (CuS) thin films were deposited on a glass substrate at room temperature using the radio-frequency (RF) magnetron-sputtering method at RF powers in the range of 40-100 W, and the structural and optical properties of the CuS thin film were investigated. The CuS thin films fabricated at varying deposition powers all exhibited hexagonal crystalline structures and preferred growth orientation of the (110) plane. Raman spectra revealed a primary sharp and intense peak at the 474 cm(-1) frequency, and a relatively wide peak was found at 265 cm(-1) frequency. In the CuS thin film deposited at an RF power of 40 W, relatively small dense particles with small void spacing formed a smooth thin-film surface. As the power increased, it was observed that grain size and grain-boundary spacing increased in order. The binding energy peaks of Cu 2p(3/2) and Cu 2p(1/2) were observed at 932.1 and 952.0 eV, respectively. Regardless of deposition power, the difference in the Cu2+ state binding energies for all the CuS thin films was equivalent at 19.9 eV. We observed the binding energy peaks of S 2p(3/2) and S 2p(1/2) corresponding to the S2- state at 162.2 and 163.2 eV, respectively. The transmittance and band-gap energy in the visible spectral range showed decreasing trends as deposition power increased. For the CuS/tin sulfide (SnS) absorber-layer-based solar cell (glass/Mo/absorber(CuS/SnS)/cadmium sulfide (CdS)/intrinsic zinc oxide (i-ZnO)/indium tin oxide (ITO)/aluminum (Al)) with a stacked structure of SnS thin films on top of the CuS layer deposited at 100 W RF power, an open-circuit voltage (V-oc) of 115 mA, short circuit current density (J(sc)) of 9.81 mA/cm(2), fill factor (FF) of 35%, and highest power conversion efficiency (PCE) of 0.39% were recorded. Shin, Donghyeok; Lee, SangWoon; Kim, Dong Ryeol; Park, Joo Hyung; Kim, Yangdo; Choi, Woo-Jin; Son, Chang Sik; Son, Young Guk; Hwang, Donghyun Pusan Natl Univ, Sch Mat Sci & Engn, Busan 46241, South Korea; Korea Inst Energy Res, Photovolta Lab, Daejeon 34129, South Korea; Kyungpook Natl Univ, Sch Mat Sci & Engn, Daegu 41566, South Korea; Silla Univ, Energy Convergence Technol Ctr, Busan 46958, South Korea; Silla Univ, Div Mat Sci & Engn, Busan 46958, South Korea Park, Joo Hyung/AAL-5247-2020; Kim, Yangdo/AAC-2495-2021 35103548400; 26643054100; 57194069208; 57193059568; 55617437700; 57199407438; 35829658500; 54407591800; 57203231010 201883628@pusan.ac.kr;201983325@pusan.ac.kr;drkim@kier.re.kr;joopark@kier.re.kr;yangdo@pusan.ac.kr;cwjgod@naver.com;csson@silla.ac.kr;ykson@pusan.ac.kr;dhhwang@silla.ac.kr; ENERGIES ENERGIES 1996-1073 13 3 SCIE ENERGY & FUELS 2020 3.004 61.0 0.96 2025-06-25 27 31 covellite; CuS thin film; CuS; SnS absorber; RF magnetron sputtering; solar cell COPPER SULFIDE; SOLAR-CELLS; NANOPARTICLES; GROWTH Covellite; CuS thin film; CuS/SnS absorber; RF magnetron sputtering; Solar cell Aluminum compounds; Binding energy; Cadmium sulfide; Energy gap; Grain boundaries; II-VI semiconductors; ITO glass; IV-VI semiconductors; Layered semiconductors; Magnetron sputtering; Open circuit voltage; Optical properties; Photovoltaic effects; Solar absorbers; Solar cells; Substrates; Sulfide minerals; Sulfur compounds; Thin films; Tin oxides; Zinc oxide; Covellite; Hexagonal crystalline; Photovoltaic applications; Power conversion efficiencies; Radio frequency magnetron sputtering; rf-Magnetron sputtering; Structural and optical properties; Visible spectral range; Copper compounds English 2020 2020-02 10.3390/en13030688 바로가기 바로가기 바로가기 바로가기
Article Evaluating the Causal Relations between the Kaya Identity Index and ODIAC-Based Fossil Fuel CO2 Flux The Kaya identity is a powerful index displaying the influence of individual carbon dioxide (CO2) sources on CO2 emissions. The sources are disaggregated into representative factors such as population, gross domestic product (GDP) per capita, energy intensity of the GDP, and carbon footprint of energy. However, the Kaya identity has limitations as it is merely an accounting equation and does not allow for an examination of the hidden causalities among the factors. Analyzing the causal relationships between the individual Kaya identity factors and their respective subcomponents is necessary to identify the real and relevant drivers of CO2 emissions. In this study we evaluated these causal relationships by conducting a parallel multiple mediation analysis, whereby we used the fossil fuel CO2 flux based on the Open-Source Data Inventory of Anthropogenic CO2 emissions (ODIAC). We found out that the indirect effects from the decomposed variables on the CO2 flux are significant. However, the Kaya identity factors show neither strong nor even significant mediating effects. This demonstrates that the influence individual Kaya identity factors have on CO2 directly emitted to the atmosphere is not primarily due to changes in their input factors, namely the decomposed variables. Hwang, YoungSeok; Um, Jung-Sup; Hwang, JunHwa; Schlueter, Stephan Kyungpook Natl Univ, Dept Climate Change, 80 Univ Rd, Daegu 41566, South Korea; Kyungpook Natl Univ, Dept Geog, 80 Univ Rd, Daegu 41566, South Korea; Ulm Univ Appl Sci, Dept Math Nat & Econ Sci, D-89075 Ulm, Germany ; Um, Jung-Sup/F-5351-2018; Junhwa, Hwang/KJM-4350-2024 57218585482; 35173565000; 57223968394; 55258366500 poiu01234@knu.ac.kr;jsaeom@knu.ac.kr;jhhwang1907@knu.ac.kr;stephan.schlueter@thu.de; ENERGIES ENERGIES 1996-1073 13 22 SCIE ENERGY & FUELS 2020 3.004 61.0 1.26 2025-06-25 25 26 ODIAC; GOSAT; CO2 flux; mediator analysis; Kaya identity; causality ENVIRONMENTAL KUZNETS CURVE; ECONOMIC-GROWTH; OCO-2 XCO2; EMISSIONS; DECOMPOSITION; GOSAT; IMPACT; MITIGATION; INVENTORY Causality; CO<sub>2</sub> flux; GOSAT; Kaya identity; Mediator analysis; ODIAC Carbon dioxide; Carbon footprint; Causal relations; Causal relationships; Energy intensity; Gross domestic products; Indirect effects; Mediating effect; Mediation analysis; Open source datum; Fossil fuels English 2020 2020-11 10.3390/en13226009 바로가기 바로가기 바로가기 바로가기
Article Evaluation of Applicability of Various Color Space Techniques of UAV Images for Evaluating Cool Roof Performance Global warming is intensifying worldwide, and urban heat islands are occurring as urbanization progresses. The cool roof method is one alternative for reducing the urban heat island phenomenon and lowering the heat on building roofs for a comfortable indoor environment. In this study, a cool roof evaluation was performed using an unmanned aerial vehicle (UAV) and a red, green and blue (RGB) camera instead of a laser thermometer and a thermal infrared sensor to evaluate existing cool roofs. When using a UAV, an RGB sensor is used instead of expensive infrared sensor. Various color space techniques, namely light-reflectance value, hue saturation value (HSV), hue saturation lightness, and YUV (luma component (Y) and two chrominance components, called U (blue projection) and V (red projection)) derived from RGB images, are applied to evaluate color space techniques suitable for cool roof evaluation. This case study shows the following quantitative results: among various color space techniques investigated herein, the white roof with lowest temperature (average surface temperature: 44.1 degrees C; average indoor temperature: 33.3 degrees C) showed highest HSV, while the black roof with the highest temperature (surface temperature average: 73.4 degrees C; indoor temperature average: 37.1 degrees C) depicted the lowest HSV. In addition, the HSV showed the highest correlation in both the Pearson correlation coefficient and the linear regression analyses when the correlation among the brightness, surface temperature, and indoor temperature of the four color space techniques was analyzed. This study is considered a valuable reference for using RGB cameras and HSV color space techniques, instead of expensive thermal infrared cameras, when evaluating cool roof performance. Lee, Kirim; Seong, Jihoon; Han, Youkyung; Lee, Won Hee Kyungpook Natl Univ, Dept Spatial Informat, Daegu 41566, South Korea; Kyungpook Natl Univ, Sch Convergence & Fus Syst Engn, Sangju 37224, South Korea 57193932338; 57204212026; 55457676600; 57190774365 geolee@knu.ac.kr;seongjh@knu.ac.kr;han602@knu.ac.kr;wlee33@knu.ac.kr; ENERGIES ENERGIES 1996-1073 13 16 SCIE ENERGY & FUELS 2020 3.004 61.0 0.43 2025-06-25 5 7 UAV; cool roof; thermal images; color space techniques; surface temperature; indoor temperature URBAN HEAT-ISLAND; THERMAL PERFORMANCE; ENERGY EFFICIENCY; PCM; CALIBRATION; SIMULATION; BUILDINGS; GREEN Color space techniques; Cool roof; Indoor temperature; Surface temperature; Thermal images; UAV Antennas; Atmospheric temperature; Cameras; Correlation methods; Global warming; Infrared detectors; Infrared devices; Infrared radiation; Reflection; Regression analysis; Roofs; Space heating; Surface properties; Unmanned aerial vehicles (UAV); Hue saturation values; Light reflectance values; Pearson correlation coefficients; Quantitative result; Red , green and blues; Surface temperatures; Thermal infrared cameras; Thermal infrared sensors; Color English 2020 2020-08 10.3390/en13164213 바로가기 바로가기 바로가기 바로가기
Article Finite Element Analysis of the Breakdown Prediction for LDPE Stressed by Various Ramp Rates of DC Voltage Based on Molecular Displacement Model Predicting the electrical breakdown of polymers is critical for certifying the endurance and lifetime of high voltage power equipment. Since various factors contribute nonlinearly to the breakdown phenomena of polymer insulators, it is difficult to assess the impact of each factor independently. In this study, we numerically analyzed the breakdown phenomenon because of the ramp rate of the DC voltage applied to a polymer insulator, low-density polyethylene (LDPE), using the finite element method (FEM). To predict the breakdown initiation, we analyzed the relaxation time of the conduction current through the insulator as a significant indicator. The bipolar charge transport (BCT) model was used to analyze the charge behavior within the LDPE, and the breakdown voltage was predicted by incorporating the molecular displacement model. This analysis was conducted for a wide range of ramp rates from 10 to 1500 V/s. The current density was calculated using two different methods, namely the energy and average methods, and the results were compared with each other. The results of the numerical model were further verified by comparing with those from experiments reported in the literature. Kim, Minhee; Kim, Su-Hun; Lee, Se-Hee Kyungpook Natl Univ, Dept Elect Engn, Daegu 41566, South Korea ; Kim, Su-Hun/AAB-5569-2020; Kim, Minhee/LRT-2058-2024 57214228950; 57188669953; 55009905600 mylily4530@gmail.com;kshk87@gmail.com;shlees@knu.ac.kr; ENERGIES ENERGIES 1996-1073 13 6 SCIE ENERGY & FUELS 2020 3.004 61.0 0.35 2025-06-25 6 7 bipolar charge transport (BCT); breakdown; FEM; insulator; LDPE; molecular displacement; ramp rate BIPOLAR CHARGE-TRANSPORT; SPACE-CHARGE; ACCUMULATION; SIMULATION; INJECTION; POLYMERS Bipolar charge transport (BCT); Breakdown; FEM; Insulator; LDPE; Molecular displacement; Ramp rate Electric insulators; Forecasting; HVDC power transmission; Low density polyethylenes; Polymers; Bipolar charge transport (BCT); Breakdown; Insulator; Molecular displacements; Ramp rates; Finite element method English 2020 2020-03 10.3390/en13061320 바로가기 바로가기 바로가기 바로가기
Article Forecasting Electricity Consumption in Commercial Buildings Using a Machine Learning Approach Prediction of electricity consumption is a key research area for efficient power grid operation. Accurate electricity consumption predictions of buildings can prevent power shortages in modern cities, reduce social costs caused by unnecessary energy supply, and support stable and efficient power grid operation. In this study, an electricity consumption prediction model is proposed using open-access data for the monthly and daily electricity consumption of 28 commercial buildings in Seo-gu, Gwangju, South Korea. In the case of the electricity consumption prediction of a building, information about specific parameters that affect energy consumption in target buildings is required. However, inappropriate parameter selection of the prediction model can lead to decreased prediction accuracy. Therefore, we propose a two-step approach to develop a highly accurate electricity consumption prediction model by overcoming the limitations of insufficient information. In the first step, the electricity consumption model of the building is derived by reflecting the characteristics of an individual building that constitutes a building community. In the second step, we use additional information, including the specific building's features, as well as the energy facility types of the building. Using dynamic-time-warping-based clustering classification, we could infer the energy equipment information of the buildings. We apply the two-step method to develop a prediction model using machine learning methods. In addition, we propose an optimal prediction model by comparing the performance of a traditional time-series analysis technique and machine learning techniques. In this study, the proposed model performs >27.5% better than the existing model. Using the proposed model, it will be possible to accurately predict electricity consumption of commercial buildings, and it can be used as a major guideline for the power supply and demand of buildings and cities. Hwang, Junhwa; Suh, Dongjun; Otto, Marc-Oliver Kyungpook Natl Univ, Dept Convergence & Fus Syst Engn, Sangju 37224, South Korea; Ulm Univ Appl Sci, Dept Math Nat & Econ Sci, Prittwitzstr 10, D-89075 Ulm, Germany Junhwa, Hwang/KJM-4350-2024 57223968394; 36613529600; 57217105369 jhhwang1907@knu.ac.kr;dongjunsuh@knu.ac.kr;Marc-Oliver.Otto@thu.de; ENERGIES ENERGIES 1996-1073 13 22 SCIE ENERGY & FUELS 2020 3.004 61.0 1.11 2025-06-25 26 33 LSTM; DNN; demand response; machine learning; commercial building ENERGY-CONSUMPTION; MODELS; PERFORMANCE; DEMAND; IMPACT Commercial building; Demand response; DNN; LSTM; Machine learning Classification (of information); Economics; Electric power transmission networks; Electric power utilization; Energy utilization; Forecasting; Machine learning; Office buildings; Predictive analytics; Time series analysis; Turing machines; Commercial building; Dynamic time warping; Electricity consumption prediction model; Electricity-consumption; Forecasting electricity; Machine learning approaches; Machine learning methods; Machine learning techniques; Energy efficiency English 2020 2020-11 10.3390/en13225885 바로가기 바로가기 바로가기 바로가기
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WoS Web of Science. Clarivate Analytics에서 제공하는 학술 데이터베이스입니다. 해당 논문이 WoS에 수록되어 있는지 여부를 표시합니다 (○: 수록됨).
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Document Type 문헌의 유형을 나타냅니다. Article(원저), Review(리뷰), Proceeding Paper(학회논문), Editorial Material(편집자료), Letter(레터) 등으로 분류됩니다.
Title 논문의 제목입니다.
Abstract 논문의 초록(요약)입니다. 연구의 목적, 방법, 결과, 결론을 간략히 요약한 내용입니다.
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Journal 논문이 게재된 학술지의 정식 명칭입니다.
JCR Abbreviation Journal Citation Reports에서 사용하는 저널의 공식 약어입니다. 저널을 간략하게 표기할 때 사용됩니다.
ISSN International Standard Serial Number. 국제표준연속간행물번호로, 인쇄본 저널에 부여되는 고유 식별번호입니다.
eISSN Electronic ISSN. 전자 버전 저널에 부여되는 고유 식별번호입니다.
Volume 저널의 권(Volume) 번호입니다. 보통 연도별로 하나의 권이 부여됩니다.
Issue 저널의 호(Issue) 번호입니다. 한 권 내에서 여러 호로 나누어 출판되는 경우가 많습니다.
WoS Edition Web of Science의 에디션입니다. SCIE(Science Citation Index Expanded), SSCI(Social Sciences Citation Index), AHCI(Arts & Humanities Citation Index) 등으로 구분됩니다.
WoS Category Web of Science의 주제 분류 카테고리입니다. 저널과 논문이 속한 학문 분야를 나타냅니다.
JCR Year 해당 저널의 JCR(Journal Citation Reports) 지표가 산출된 연도입니다.
IF (Impact Factor) 저널 영향력 지수. 최근 2년간 발표된 논문이 해당 연도에 평균적으로 인용된 횟수를 나타냅니다. 저널의 학술적 영향력을 나타내는 대표적인 지표입니다.
JCR (%) 해당 카테고리에서 저널이 위치하는 상위 백분율입니다. 값이 낮을수록 우수한 저널임을 의미합니다 (예: 5%는 상위 5%를 의미).
FWCI Field-Weighted Citation Impact. 분야별 가중 인용 영향력 지수입니다. 논문이 받은 인용을 동일 분야, 동일 연도, 동일 문헌 유형의 평균과 비교한 값입니다. 1.0이 평균이며, 1.0보다 높으면 평균 이상의 인용을 받았음을 의미합니다.
FWCI UpdateDate FWCI 값이 마지막으로 업데이트된 날짜입니다. FWCI는 인용이 누적됨에 따라 주기적으로 업데이트됩니다.
WOS Citation Web of Science에서 집계된 해당 논문의 총 인용 횟수입니다.
SCOPUS Citation SCOPUS에서 집계된 해당 논문의 총 인용 횟수입니다.
Keywords (WoS) 저자가 논문에서 직접 지정한 키워드입니다. Web of Science에 등록된 저자 키워드 목록입니다.
KeywordsPlus (WoS) Web of Science에서 자동으로 추출한 추가 키워드입니다. 논문의 참고문헌 제목에서 자주 등장하는 단어들로 생성됩니다.
Keywords (SCOPUS) 저자가 논문에서 직접 지정한 키워드입니다. SCOPUS에 등록된 저자 키워드 목록입니다.
KeywordsPlus (SCOPUS) SCOPUS에서 자동으로 추출하거나 추가한 색인 키워드입니다.
Language 논문이 작성된 언어입니다. 대부분 English이며, 그 외 다양한 언어로 작성된 논문이 포함될 수 있습니다.
Publication Year 논문이 출판된 연도입니다.
Publication Date 논문의 정확한 출판 날짜입니다 (년-월-일 형식).
DOI Digital Object Identifier. 디지털 객체 식별자로, 논문을 고유하게 식별하는 영구적인 식별번호입니다. 이를 통해 논문의 온라인 위치를 찾을 수 있습니다.