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2021 연구성과별 연구자 정보 (1264 / 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
Investigation of Potential Antioxidant, Thrombolytic and Neuropharmacological Activities of Homalomena aromatica Leaves Using Experimental and In Silico Approaches Suk, Kyoungho Suk, K 7 Kyungpook Natl Univ, Brain Sci & Engn Inst, Sch Med, Dept Pharmacol, Daegu 41944, South Korea 0000-0002-9555-4203 Suk, Kyoungho alipharm2000@gmail.com;aljawadsayem@gmail.com;habibmahirbd@gmail.com;im.yixianquah@gmail.com;eonbee@gmail.com;btbtes@gmail.com;ksuk@knu.ac.kr;parksch@knu.ac.kr;
Investigation of Potential Antioxidant, Thrombolytic and Neuropharmacological Activities of Homalomena aromatica Leaves Using Experimental and In Silico Approaches Park, Seung-Chun Park, SC 8 교신저자 Kyungpook Natl Univ, Coll Vet Med, Lab Vet Pharmacokinet & Pharmacodynam, Daegu 41566, South Korea AAV-3388-2021 Park, Seung-Chun alipharm2000@gmail.com;aljawadsayem@gmail.com;habibmahirbd@gmail.com;im.yixianquah@gmail.com;eonbee@gmail.com;btbtes@gmail.com;ksuk@knu.ac.kr;parksch@knu.ac.kr;
Investigation of Root Morphological Traits Using 2D-Imaging among Diverse Soybeans (Glycine max L.) Tripathi, Pooja Tripathi, P 1 Kyungpook Natl Univ, Dept Appl Biosci, Daegu 41566, South Korea 0000-0001-8369-6848 Tripathi, Pooja tripathipooza21@gmail.com;abdullajamila@gmail.com;baron7798@jejunu.ac.kr;yschung@jejunu.ac.kr;shkim0819@korea.kr;hamayun@awkum.edu.pk;kyh1229@knu.ac.kr;
Investigation of Root Morphological Traits Using 2D-Imaging among Diverse Soybeans (Glycine max L.) Abdullah, Jamila S. Abdullah, JS 2 Kyungpook Natl Univ, Dept Appl Biosci, Daegu 41566, South Korea tripathipooza21@gmail.com;abdullajamila@gmail.com;baron7798@jejunu.ac.kr;yschung@jejunu.ac.kr;shkim0819@korea.kr;hamayun@awkum.edu.pk;kyh1229@knu.ac.kr;
Investigation of Root Morphological Traits Using 2D-Imaging among Diverse Soybeans (Glycine max L.) Kim, Jaeyoung Kim, J 3 Jeju Natl Univ, Dept Plant Resources & Environm, Jeju 63243, South Korea tripathipooza21@gmail.com;abdullajamila@gmail.com;baron7798@jejunu.ac.kr;yschung@jejunu.ac.kr;shkim0819@korea.kr;hamayun@awkum.edu.pk;kyh1229@knu.ac.kr;
Investigation of Root Morphological Traits Using 2D-Imaging among Diverse Soybeans (Glycine max L.) Chung, Yong-Suk Chung, YS 4 Jeju Natl Univ, Dept Plant Resources & Environm, Jeju 63243, South Korea V-6909-2019 Chung, Yong 0000-0003-3121-7600 Chung, Yong Suk tripathipooza21@gmail.com;abdullajamila@gmail.com;baron7798@jejunu.ac.kr;yschung@jejunu.ac.kr;shkim0819@korea.kr;hamayun@awkum.edu.pk;kyh1229@knu.ac.kr;
Investigation of Root Morphological Traits Using 2D-Imaging among Diverse Soybeans (Glycine max L.) Kim, Seong-Hoon Kim, SH 5 Natl Inst Agr Sci, RDA, Natl Agrobiodivers Ctr, Jeonju 561756, South Korea AHE-2059-2022 Kim, Seong-Hoon 0000-0003-3244-4266 Kim, Seong-Hoon tripathipooza21@gmail.com;abdullajamila@gmail.com;baron7798@jejunu.ac.kr;yschung@jejunu.ac.kr;shkim0819@korea.kr;hamayun@awkum.edu.pk;kyh1229@knu.ac.kr;
Investigation of Root Morphological Traits Using 2D-Imaging among Diverse Soybeans (Glycine max L.) Hamayun, Muhammad Hamayun, M 6 Abdul Wali Khan Univ, Dept Bot, Mardan 23200, Pakistan B-1694-2010 Hamayun, Muhammad tripathipooza21@gmail.com;abdullajamila@gmail.com;baron7798@jejunu.ac.kr;yschung@jejunu.ac.kr;shkim0819@korea.kr;hamayun@awkum.edu.pk;kyh1229@knu.ac.kr;
Investigation of Root Morphological Traits Using 2D-Imaging among Diverse Soybeans (Glycine max L.) Kim, Yoonha Kim, Y 7 교신저자 Kyungpook Natl Univ, Dept Appl Biosci, Daegu 41566, South Korea tripathipooza21@gmail.com;abdullajamila@gmail.com;baron7798@jejunu.ac.kr;yschung@jejunu.ac.kr;shkim0819@korea.kr;hamayun@awkum.edu.pk;kyh1229@knu.ac.kr;
Investigation of steel frame damage based on computer vision and deep learning Kim, Bubryur Kim, B 1 KyungPook Natl Univ, Dept Robot & Smart Syst Engn, Daegu, South Korea dolee@knu.ac.kr;
Investigation of steel frame damage based on computer vision and deep learning Yuvaraj, N. Yuvaraj, N 2 Dong A Univ, Dept Architectural Engn, Busan, South Korea GWV-2080-2022 Natarajan, Yuvaraj 0000-0002-0422-8374 Natarajan, Yuvaraj dolee@knu.ac.kr;
Investigation of steel frame damage based on computer vision and deep learning Park, Hee Won Park, HW 3 KyungPook Natl Univ, Sch Architecture Civil Environm & Energy Engn, 1370 Sangyegk Dong, Daegu 702701, South Korea dolee@knu.ac.kr;
Investigation of steel frame damage based on computer vision and deep learning Preethaa, K. R. Sri Preethaa, KRS 4 KPR Inst Engn & Technol, Dept Artificial Intelligence & Data Sci, Coimbatore, Tamil Nadu, India 0000-0003-1355-710X K. R., Sri Preethaa dolee@knu.ac.kr;
Investigation of steel frame damage based on computer vision and deep learning Pandian, R. Arun Pandian, RA 5 KPR Inst Engn & Technol, Artificial Intelligence Lab, Coimbatore, Tamil Nadu, India dolee@knu.ac.kr;
Investigation of steel frame damage based on computer vision and deep learning Lee, Dong-Eun Lee, DE 6 교신저자 KyungPook Natl Univ, Sch Architecture Civil Environm & Energy Engn, 1370 Sangyegk Dong, Daegu 702701, South Korea dolee@knu.ac.kr;
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