Sunwoo Han
Impact in
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- Sexual function and dysfunction studies
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- Effects and risks of endocrine disrupting chemicals
- Toxic Organic Pollutants Impact
Papers in
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- Machine Learning and Data Classification 3
- Imbalanced Data Classification Techniques 1
- Surgery 3
- Co-authors
- Hyunjoong Kim (3 shared papers)Youyi Fong (2 shared papers)Brian D. Williamson (1 shared paper)Yung-Seop Lee (1 shared paper)Jung‐Ho Shin (1 shared paper)Isildinha M. Reis (8 shared papers)Taewan Kim (1 shared paper)Ranjith Ramasamy (4 shared papers)
- Journals
- Blood (2 papers)BMC Medical Informatics and Decision Making (2 papers)The Journal of Urology (2 papers)Applied Sciences (2 papers)The World Journal of Men s Health (1 paper)
- Partner nations
- United StatesSouth KoreaIndia
In The Last Decade
Sunwoo Han
15 papers receiving 309 citations
Peers
Comparison fields: 5 of 128
- Psychiatry and Mental health 31
- Health, Toxicology and Mutagenesis 28
- Health Information Management 8
- Environmental Engineering 22
- Health Informatics 2
Countries citing papers authored by Sunwoo Han
This map shows the geographic impact of Sunwoo Han'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 Sunwoo Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunwoo Han more than expected).
Fields of papers citing papers by Sunwoo Han
This network shows the impact of papers produced by Sunwoo Han. 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 Sunwoo Han. The network helps show where Sunwoo Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Sunwoo Han, 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 | 2021 | 80 | |
| 2 | 2020 | 60 | |
| 3 | 2002 | 49 | |
| 4 | 2019 | 38 | |
| 5 | 2021 | 37 | |
| 6 | 2023 | 28 | |
| 7 | 2023 | 7 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 4 | |
| 10 | 2025 | 3 | |
| 11 | 2024 | 2 | |
| 12 | 2024 | 2 | |
| 13 | 2024 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2024 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2024 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2026 | 0 |
About Sunwoo Han
Sunwoo Han is a scholar working on Artificial Intelligence, Surgery, Pathology and Forensic Medicine, Information Systems and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 319 indexed citations. Recurring topics across this work include Machine Learning and Data Classification (3 papers), Hormonal and reproductive studies (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Data Mining Algorithms and Applications (2 papers), Face and Expression Recognition (2 papers), Sexual function and dysfunction studies (2 papers), Imbalanced Data Classification Techniques (1 paper) and Estrogen and related hormone effects (1 paper). The work is most often cited by research in Psychiatry and Mental health (31 citations), Health, Toxicology and Mutagenesis (28 citations), Health Information Management (8 citations), Environmental Engineering (22 citations) and Health Informatics (2 citations). Sunwoo Han has collaborated with scholars based in United States, South Korea and India. Frequent co-authors include Hyunjoong Kim, Youyi Fong, Brian D. Williamson, Yung-Seop Lee, Jung‐Ho Shin, Isildinha M. Reis, Taewan Kim, Ranjith Ramasamy, Thomas A. Masterson and Manuel Molina. Their work appears in journals such as Blood, BMC Medical Informatics and Decision Making, The Journal of Urology, Applied Sciences and The World Journal of Men s Health.
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.