Keewon Shin
- Radiology, Nuclear Medicine and Imaging top 10%
- Biomedical Engineering
- Artificial Intelligence top 10%
- Oncology
- Surgery
- Co-authors
- Namkug KimHyun‐Jin BaeYongwon ChoMingyu KimRyoungwoo JangJihye YunDo Hoon KimSeung Min Ryu
- Topics
- Radiomics and Machine Learning in Medical Imaging (6 papers)AI in cancer detection (5 papers)Diabetic Foot Ulcer Assessment and Management (4 papers)
- Partner nations
- South KoreaJapanUnited Kingdom
In The Last Decade
Keewon Shin
18 papers receiving 442 citations
Peers
Comparison fields: 5 of 86
- Radiology, Nuclear Medicine and Imaging 199
- Biomedical Engineering 131
- Artificial Intelligence 122
- Oncology 64
- Surgery 63
Countries citing papers authored by Keewon Shin
This map shows the geographic impact of Keewon Shin'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 Keewon Shin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keewon Shin more than expected).
Fields of papers citing papers by Keewon Shin
This network shows the impact of papers produced by Keewon Shin. 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 Keewon Shin. The network helps show where Keewon Shin may publish in the future.
Co-authorship network of co-authors of Keewon Shin
This figure shows the co-authorship network connecting the top 25 collaborators of Keewon Shin. A scholar is included among the top collaborators of Keewon Shin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Keewon Shin. Keewon Shin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 13 | |
| 9 | 22 | |
| 10 | 7 | |
| 11 | 6 | |
| 12 | 6 | |
| 13 | 3 | |
| 14 | 17 | |
| 15 | 16 | |
| 16 | 8 | |
| 17 | 10 | |
| 18 | 48 | |
| 19 | 28 | |
| 20 | 224 |
About Keewon Shin
Keewon Shin is a scholar working on Health Informatics, Orthopedics and Sports Medicine and Radiology, Nuclear Medicine and Imaging, having authored 21 papers that have together received 455 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), AI in cancer detection (5 papers) and Diabetic Foot Ulcer Assessment and Management (4 papers). The work is most often cited by research in Health Informatics (58 citations), Radiology, Nuclear Medicine and Imaging (199 citations) and Artificial Intelligence (122 citations). Keewon Shin has collaborated with scholars based in South Korea, Japan and United Kingdom. Frequent co-authors include Namkug Kim, Hyun‐Jin Bae, Yongwon Cho, Mingyu Kim, Ryoungwoo Jang, Jihye Yun, Do Hoon Kim, Seung Min Ryu, Gil-Sun Hong and Myung‐Won You. Their work appears in journals such as PLoS ONE, Radiology and Medical Image Analysis.
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.