Jong Seok Ahn
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Radiology practices and education
Papers in
-
- COVID-19 diagnosis using AI 4
- Radiomics and Machine Learning in Medical Imaging 3
- Radiology practices and education 3
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- Lung Cancer Diagnosis and Treatment 2
- Co-authors
- Ki Hwan Kim (2 shared papers)Sangwon Shin (1 shared paper)Soo Ick Cho (1 shared paper)Seokhwi Kim (1 shared paper)Eun Kyung Park (1 shared paper)Chan‐Young Ock (2 shared papers)Su‐A Yang (1 shared paper)J. T. Murchison (1 shared paper)
- Journals
- JAMA Network Open (1 paper)BMJ Open (1 paper)Cells (1 paper)Clinical Radiology (1 paper)JCO Precision Oncology (1 paper)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Jong Seok Ahn
8 papers receiving 197 citations
Peers
Comparison fields: 5 of 45
- Health Informatics 67
- Radiology, Nuclear Medicine and Imaging 130
- Artificial Intelligence 70
- Pulmonary and Respiratory Medicine 46
- Health Information Management 6
Countries citing papers authored by Jong Seok Ahn
This map shows the geographic impact of Jong Seok Ahn'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 Jong Seok Ahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jong Seok Ahn more than expected).
Fields of papers citing papers by Jong Seok Ahn
This network shows the impact of papers produced by Jong Seok Ahn. 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 Jong Seok Ahn. The network helps show where Jong Seok Ahn may publish in the future.
Co-authors
The 25 scholars most cited alongside Jong Seok Ahn, 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 | 2023 | 76 | |
| 2 | 2022 | 63 | |
| 3 | 2022 | 28 | |
| 4 | 2022 | 24 | |
| 5 | 2022 | 5 | |
| 6 | 2025 | 2 | |
| 7 | 2024 | 2 | |
| 8 | 2025 | 1 | |
| 9 | 2024 | 0 |
About Jong Seok Ahn
Jong Seok Ahn is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Oncology, Otorhinolaryngology and Artificial Intelligence, having authored 9 papers that have together received 201 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Radiology practices and education (3 papers), Lung Cancer Diagnosis and Treatment (2 papers), AI in cancer detection (2 papers), Head and Neck Cancer Studies (2 papers), Head and Neck Surgical Oncology (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Health Informatics (67 citations), Radiology, Nuclear Medicine and Imaging (130 citations), Artificial Intelligence (70 citations), Pulmonary and Respiratory Medicine (46 citations) and Health Information Management (6 citations). Jong Seok Ahn has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Ki Hwan Kim, Sangwon Shin, Soo Ick Cho, Seokhwi Kim, Eun Kyung Park, Chan‐Young Ock, Su‐A Yang, J. T. Murchison, Edwin J.R. van Beek and Shaunagh McDermott. Their work appears in journals such as JAMA Network Open, BMJ Open, Cells, Clinical Radiology and JCO Precision Oncology.
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.