Kevin Choi
Impact in
- Aquatic Science top 5%
- Aquaculture Nutrition and Growth
-
- Physiological and biochemical adaptations
Papers in
- Ecology 5
- Physiological and biochemical adaptations 5
-
- Cryptography and Data Security 3
- Privacy-Preserving Technologies in Data 3
- Adversarial Robustness in Machine Learning 2
- Co-authors
- Jean‐Michel Weber (4 shared papers)Carol Stewart (2 shared papers)Yun Jong Lee (2 shared papers)James E. Paterson (1 shared paper)Annie L. Chan (2 shared papers)Seunghee Cha (2 shared papers)Philip M. Harrison (1 shared paper)Robert J. Lennox (1 shared paper)
- Journals
- Journal of Experimental Biology (2 papers)American Journal of Physiology-Regulatory, Integrative and Comparative Physiology (1 paper)Pigment Cell & Melanoma Research (1 paper)Journal of Biological Chemistry (1 paper)Biological Invasions (1 paper)
- Partner nations
- United StatesCanadaSouth Korea
In The Last Decade
Kevin Choi
15 papers receiving 266 citations
Peers
Comparison fields: 5 of 75
- Aquatic Science 70
- Ecology 103
- Nature and Landscape Conservation 43
- Ecological Modeling 13
- Physiology 11
Countries citing papers authored by Kevin Choi
This map shows the geographic impact of Kevin Choi'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 Kevin Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Choi more than expected).
Fields of papers citing papers by Kevin Choi
This network shows the impact of papers produced by Kevin Choi. 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 Kevin Choi. The network helps show where Kevin Choi may publish in the future.
Co-authors
The 25 scholars most cited alongside Kevin Choi, 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 | 2016 | 74 | |
| 2 | 2015 | 48 | |
| 3 | 2016 | 41 | |
| 4 | 2011 | 19 | |
| 5 | 2016 | 18 | |
| 6 | 2021 | 13 | |
| 7 | 2015 | 12 | |
| 8 | 2019 | 11 | |
| 9 | 2015 | 10 | |
| 10 | 2024 | 6 | |
| 11 | 2022 | 5 | |
| 12 | 2022 | 5 | |
| 13 | 2024 | 4 | |
| 14 | 2018 | 3 | |
| 15 | 2015 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2018 | 0 | |
| 18 | 2016 | 0 |
About Kevin Choi
Kevin Choi is a scholar working on Ecology, Artificial Intelligence, Physiology, Molecular Biology and Computer Networks and Communications, having authored 18 papers that have together received 270 indexed citations. Recurring topics across this work include Physiological and biochemical adaptations (5 papers), Cryptography and Data Security (3 papers), Privacy-Preserving Technologies in Data (3 papers), Adipose Tissue and Metabolism (2 papers), Adversarial Robustness in Machine Learning (2 papers), Salivary Gland Disorders and Functions (2 papers), Advanced Malware Detection Techniques (2 papers) and Aquaculture Nutrition and Growth (2 papers). The work is most often cited by research in Aquatic Science (70 citations), Ecology (103 citations), Nature and Landscape Conservation (43 citations), Ecological Modeling (13 citations) and Physiology (11 citations). Kevin Choi has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Jean‐Michel Weber, Carol Stewart, Yun Jong Lee, James E. Paterson, Annie L. Chan, Seunghee Cha, Philip M. Harrison, Robert J. Lennox, Steven J. Cooke and M Bubb. Their work appears in journals such as Journal of Experimental Biology, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Pigment Cell & Melanoma Research, Journal of Biological Chemistry and Biological Invasions.
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.