Jin Hee Yoon
Impact in
- Microbiology top 2%
- Statistics and Probability top 2%
- Fuzzy Systems and Optimization
Papers in
-
- Fuzzy Systems and Optimization 30
- Co-authors
- Yong-Ha ParkKyoung-Ho KangK C LeeSeung Hoe ChoiZong Woo GeemS S KangYung Hee KhoSo Young Sohn
- Journals
- INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY (20 papers)International Journal of Fuzzy Systems (11 papers)IEEE Transactions on Fuzzy Systems (5 papers)IEEE Access (4 papers)Applied Soft Computing (3 papers)
- Partner nations
- South KoreaChinaCanada
In The Last Decade
Jin Hee Yoon
79 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 150
- Microbiology 39
- Statistics and Probability 241
- Ecology 485
- Management Science and Operations Research 222
- Biotechnology 148
Countries citing papers authored by Jin Hee Yoon
This map shows the geographic impact of Jin Hee Yoon's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jin Hee Yoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Hee Yoon more than expected).
Fields of papers citing papers by Jin Hee Yoon
This network shows the impact of papers produced by Jin Hee Yoon. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jin Hee Yoon. The network helps show where Jin Hee Yoon may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Hee Yoon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 1 | |
| 6 | 2024 | 9 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 10 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 23 | |
| 12 | 2023 | 9 | |
| 13 | 2023 | 4 | |
| 14 | 2022 | 0 | |
| 15 | 2018 | 4 | |
| 16 | Fuzzy Regression Based on Non-Parametric Methods | 2018 | 4 |
| 17 | 2018 | 1 | |
| 18 | 2001 | 20 | |
| 19 | 2001 | 5 | |
| 20 | 2001 | 121 |
About Jin Hee Yoon
Jin Hee Yoon is a scholar working on Microbiology, Statistics and Probability, Management Science and Operations Research, Artificial Intelligence and Computational Theory and Mathematics, having authored 92 papers that have together received 1.9k indexed citations. Recurring topics across this work include Fuzzy Systems and Optimization (30 papers), Multi-Criteria Decision Making (25 papers), Genomics and Phylogenetic Studies (19 papers), Fuzzy Logic and Control Systems (19 papers), Microbial Community Ecology and Physiology (9 papers), Neural Networks and Applications (9 papers), Metaheuristic Optimization Algorithms Research (8 papers) and Identification and Quantification in Food (5 papers). The work is most often cited by research in Microbiology (39 citations), Statistics and Probability (241 citations), Ecology (485 citations), Management Science and Operations Research (222 citations) and Biotechnology (148 citations). Jin Hee Yoon has collaborated with scholars based in South Korea, China and Canada. Frequent co-authors include Yong-Ha Park, Kyoung-Ho Kang, K C Lee, Seung Hoe Choi, Zong Woo Geem, S S Kang, Yung Hee Kho, So Young Sohn, Dong Ha Kim and Yong Kook Shin. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, International Journal of Fuzzy Systems, IEEE Transactions on Fuzzy Systems, IEEE Access and Applied Soft Computing.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.