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2024 연구성과별 연구자 정보 (208 / 2344)

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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
Assessment of the factors shaping the public's perception of physical and virtual water: A case study of Korean households Adelodun, Bashir Adelodun, B 2 Univ Ilorin, Dept Agr & Biosyst Engn, PMB 1515, Ilorin 240003, Nigeria O-2941-2018 Adelodun, Bashir 0000-0002-1533-5319 Adelodun, Bashir ks.choi@knu.ac.kr;
Assessment of the factors shaping the public's perception of physical and virtual water: A case study of Korean households Adelodun, Bashir Adelodun, B 2 Kyungpook Natl Univ, Inst Agr Sci & Technol, Daegu, South Korea O-2941-2018 Adelodun, Bashir 0000-0002-1533-5319 Adelodun, Bashir ks.choi@knu.ac.kr;
Assessment of the factors shaping the public's perception of physical and virtual water: A case study of Korean households Lee, Seulgi Lee, S 3 Korea Rural Community Corp, Rural Res Inst, Ansan, South Korea HJA-9871-2022 Lee, Seulgi 0000-0002-0903-2207 Lee, Seulgi ks.choi@knu.ac.kr;
Assessment of the factors shaping the public's perception of physical and virtual water: A case study of Korean households Adeyi, Qudus Adeyi, Q 4 Kyungpook Natl Univ, Dept Agr Civil Engn, Daegu 41566, South Korea 0009-0006-1379-3443 Adeyi, Qudus ks.choi@knu.ac.kr;
Assessment of the factors shaping the public's perception of physical and virtual water: A case study of Korean households Choi, Kyung Sook Choi, KS 5 교신저자 Kyungpook Natl Univ, Dept Agr Civil Engn, Daegu 41566, South Korea ks.choi@knu.ac.kr;
Assessment of the factors shaping the public's perception of physical and virtual water: A case study of Korean households Choi, Kyung Sook Choi, KS 5 교신저자 Kyungpook Natl Univ, Inst Agr Sci & Technol, Daegu, South Korea ks.choi@knu.ac.kr;
Assessor Feedback Mechanism for Machine Learning Model Lolaev, Musulmon Lolaev, M 1 Kyungpook Natl Univ, Sch Comp Sci & Engn, Dae Hak Ro, Daegu 41566, South Korea ADF-0781-2022 Lolaev, Musulmon paul.editor@gmail.com;
Assessor Feedback Mechanism for Machine Learning Model Paul, Anand Paul, A 2 교신저자 Kyungpook Natl Univ, Sch Comp Sci & Engn, Dae Hak Ro, Daegu 41566, South Korea V-6724-2017 Paul, Anand paul.editor@gmail.com;
Assessor Feedback Mechanism for Machine Learning Model Kim, Jeonghong Kim, J 3 Kyungpook Natl Univ, Sch Comp Sci & Engn, Dae Hak Ro, Daegu 41566, South Korea paul.editor@gmail.com;
Association analysis of leaf aromatic substances in cultivated and weedy types of Perilla crop using SSR markers Cho, Jungeun Cho, J 1 Kangwon Natl Univ, Coll Agr & Life Sci, Dept Appl Plant Sci, Chunchon 24341, South Korea jukyonglee@kangwon.ac.kr;
Association analysis of leaf aromatic substances in cultivated and weedy types of Perilla crop using SSR markers Cho, Jungeun Cho, J 1 Kangwon Natl Univ, Interdisciplinary Program Smart Agr, Chunchon 24341, South Korea jukyonglee@kangwon.ac.kr;
Association analysis of leaf aromatic substances in cultivated and weedy types of Perilla crop using SSR markers Sa, Kyu Jin Sa, KJ 2 Kyungpook Natl Univ, Coll Ecol & Environm Sci, Dept Crop Sci, Sangju 37224, South Korea jukyonglee@kangwon.ac.kr;
Association analysis of leaf aromatic substances in cultivated and weedy types of Perilla crop using SSR markers Park, Hyeon Park, H 3 Kangwon Natl Univ, Coll Agr & Life Sci, Dept Appl Plant Sci, Chunchon 24341, South Korea jukyonglee@kangwon.ac.kr;
Association analysis of leaf aromatic substances in cultivated and weedy types of Perilla crop using SSR markers Park, Hyeon Park, H 3 Kangwon Natl Univ, Interdisciplinary Program Smart Agr, Chunchon 24341, South Korea jukyonglee@kangwon.ac.kr;
Association analysis of leaf aromatic substances in cultivated and weedy types of Perilla crop using SSR markers Heo, Tae Hyeon Heo, TH 4 Kangwon Natl Univ, Coll Agr & Life Sci, Dept Appl Plant Sci, Chunchon 24341, South Korea jukyonglee@kangwon.ac.kr;
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