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2021 연구성과별 연구자 정보 (524 / 2991)

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Document Title Author Full Name Author Short Name Index Corresponding Address ResearcherID ResearcherID Author Name ORCID ORCID Author Name Related Email
Deep eutectic solvent mediated nanostructured copper oxide as a positive electrode material for hybrid supercapacitor device Karade, Swapnil S. Karade, SS 2 Yonsei Univ, Dept Chem & Bimol Engn, Electrochem Energy Lab, Seoul, South Korea AAA-8285-2020 Karade, Swapnil 0000-0002-7503-0912 Karade, Swapnil sbpkim@dongguk.edu;
Deep eutectic solvent mediated nanostructured copper oxide as a positive electrode material for hybrid supercapacitor device Yadav, Hemraj M. Yadav, HM 3 Dongguk Univ, Coll Life Sci & Biotechnol, Dept Biol & Environm Sci, 32 Dongguk Ro,Biomed Campus, Goyang Si 10326, Gyeonggi Do, South Korea sbpkim@dongguk.edu;
Deep eutectic solvent mediated nanostructured copper oxide as a positive electrode material for hybrid supercapacitor device Maile, Nagesh C. Maile, NC 4 Kyungpook Natl Univ, Dept Environm Engn, 80 Daehak Ro, Daegu 41566, South Korea AFD-8838-2022 Maile, Nagesh sbpkim@dongguk.edu;
Deep eutectic solvent mediated nanostructured copper oxide as a positive electrode material for hybrid supercapacitor device Ghodake, Gajanan S. Ghodake, GS 5 Dongguk Univ, Coll Life Sci & Biotechnol, Dept Biol & Environm Sci, 32 Dongguk Ro,Biomed Campus, Goyang Si 10326, Gyeonggi Do, South Korea sbpkim@dongguk.edu;
Deep eutectic solvent mediated nanostructured copper oxide as a positive electrode material for hybrid supercapacitor device Jagadale, Ajay D. Jagadale, AD 6 SASTRA Deemed Univ, Ctr Energy Storage & Convers, Sch Elect & Elect Engn, Thanjavur 613401, Tamil Nadu, India O-5253-2014 Jagadale, Ajay 0000-0003-2694-0757 Jagadale, Ajay sbpkim@dongguk.edu;
Deep eutectic solvent mediated nanostructured copper oxide as a positive electrode material for hybrid supercapacitor device Jalak, Monali B. Jalak, MB 7 Shivaji Univ, Dept Phys, Kolhapur, Maharashtra, India sbpkim@dongguk.edu;
Deep eutectic solvent mediated nanostructured copper oxide as a positive electrode material for hybrid supercapacitor device Velhal, Ninad Velhal, N 8 Kyungpook Natl Univ, Dept Polymer Sci, Polymer Thin Film Mat Lab, 80 Daehak Ro, Daegu, South Korea O-2578-2014 Velhal, Ninad 0000-0003-2190-4749 Velhal, Ninad sbpkim@dongguk.edu;
Deep eutectic solvent mediated nanostructured copper oxide as a positive electrode material for hybrid supercapacitor device Kumar, Raman Kumar, R 9 Yonsei Univ, Dept Chem & Bimol Engn, Electrochem Energy Lab, Seoul, South Korea S-2880-2016 Kumar, Raman 0000-0001-9562-9140 Kumar, Raman sbpkim@dongguk.edu;
Deep eutectic solvent mediated nanostructured copper oxide as a positive electrode material for hybrid supercapacitor device Lee, Dae Sung Lee, DS 10 Kyungpook Natl Univ, Dept Environm Engn, 80 Daehak Ro, Daegu 41566, South Korea sbpkim@dongguk.edu;
Deep eutectic solvent mediated nanostructured copper oxide as a positive electrode material for hybrid supercapacitor device Kim, Dae-Young Kim, DY 11 교신저자 Dongguk Univ, Coll Life Sci & Biotechnol, Dept Biol & Environm Sci, 32 Dongguk Ro,Biomed Campus, Goyang Si 10326, Gyeonggi Do, South Korea sbpkim@dongguk.edu;
Deep Learning Analysis of CT Images Reveals High-Grade Pathological Features to Predict Survival in Lung Adenocarcinoma Choi, Yeonu Choi, Y 1 Sungkyunkwan Univ, Samsung Med Ctr, Dept Radiol, Sch Med SKKU SOM, Seoul 06351, South Korea skyblue718@skku.edu;brian.j.aum@lunit.io;shlee119@skku.edu;hkts@skku.edu;jkimsmc@skku.edu;ssh@lunit.io;jyjeong@knu.ac.kr;ock.chanyoung@lunit.io;hoyunlee@skku.edu;
Deep Learning Analysis of CT Images Reveals High-Grade Pathological Features to Predict Survival in Lung Adenocarcinoma Aum, Jaehong Aum, J 2 Lunit Inc, Seoul 06241, South Korea skyblue718@skku.edu;brian.j.aum@lunit.io;shlee119@skku.edu;hkts@skku.edu;jkimsmc@skku.edu;ssh@lunit.io;jyjeong@knu.ac.kr;ock.chanyoung@lunit.io;hoyunlee@skku.edu;
Deep Learning Analysis of CT Images Reveals High-Grade Pathological Features to Predict Survival in Lung Adenocarcinoma Lee, Se-Hoon Lee, SH 3 Sungkyunkwan Univ, Samsung Med Ctr, Dept Med, Div Hematooncol,Sch Med SKKU SOM, Seoul 06351, South Korea AAX-9843-2020 Lee, Soohyeon skyblue718@skku.edu;brian.j.aum@lunit.io;shlee119@skku.edu;hkts@skku.edu;jkimsmc@skku.edu;ssh@lunit.io;jyjeong@knu.ac.kr;ock.chanyoung@lunit.io;hoyunlee@skku.edu;
Deep Learning Analysis of CT Images Reveals High-Grade Pathological Features to Predict Survival in Lung Adenocarcinoma Kim, Hong-Kwan Kim, HK 4 Sungkyunkwan Univ, Samsung Med Ctr, Dept Thorac Surg, Sch Med SKKU SOM, Seoul 06351, South Korea AAR-4892-2020 Kim, Hong skyblue718@skku.edu;brian.j.aum@lunit.io;shlee119@skku.edu;hkts@skku.edu;jkimsmc@skku.edu;ssh@lunit.io;jyjeong@knu.ac.kr;ock.chanyoung@lunit.io;hoyunlee@skku.edu;
Deep Learning Analysis of CT Images Reveals High-Grade Pathological Features to Predict Survival in Lung Adenocarcinoma Kim, Jhingook Kim, J 5 Sungkyunkwan Univ, Samsung Med Ctr, Dept Thorac Surg, Sch Med SKKU SOM, Seoul 06351, South Korea skyblue718@skku.edu;brian.j.aum@lunit.io;shlee119@skku.edu;hkts@skku.edu;jkimsmc@skku.edu;ssh@lunit.io;jyjeong@knu.ac.kr;ock.chanyoung@lunit.io;hoyunlee@skku.edu;
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