Sungwon Ham
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Otorhinolaryngology top 10%
- Head and Neck Cancer Studies
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 6
- MRI in cancer diagnosis 2
-
- Cerebrovascular and Carotid Artery Diseases 2
- Co-authors
- Namkug Kim (14 shared papers)Hyunna Lee (3 shared papers)Jihye Yun (7 shared papers)Ho Sung Kim (2 shared papers)Ji Eun Park (2 shared papers)Eun‐Jae Lee (1 shared paper)Sun U. Kwon (1 shared paper)Jong S. Kim (1 shared paper)
- Journals
- Scientific Reports (7 papers)Korean Journal of Radiology (3 papers)European Radiology (3 papers)La radiologia medica (1 paper)Stroke (1 paper)
- Partner nations
- South KoreaJapanSouth Sudan
In The Last Decade
Sungwon Ham
16 papers receiving 420 citations
Peers
Comparison fields: 5 of 68
- Health Informatics 36
- Otorhinolaryngology 30
- Radiology, Nuclear Medicine and Imaging 153
- Health Information Management 27
- Neurology 47
Countries citing papers authored by Sungwon Ham
This map shows the geographic impact of Sungwon Ham'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 Sungwon Ham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sungwon Ham more than expected).
Fields of papers citing papers by Sungwon Ham
This network shows the impact of papers produced by Sungwon Ham. 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 Sungwon Ham. The network helps show where Sungwon Ham may publish in the future.
Co-authors
The 25 scholars most cited alongside Sungwon Ham, 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 | 2020 | 146 | |
| 2 | 2019 | 78 | |
| 3 | 2020 | 48 | |
| 4 | 2020 | 41 | |
| 5 | 2020 | 33 | |
| 6 | 2024 | 28 | |
| 7 | 2023 | 15 | |
| 8 | 2021 | 9 | |
| 9 | 2022 | 9 | |
| 10 | 2022 | 8 | |
| 11 | 2023 | 5 | |
| 12 | 2024 | 5 | |
| 13 | 2024 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2020 | 1 | |
| 16 | 2022 | 1 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 |
About Sungwon Ham
Sungwon Ham is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Genetics, Rehabilitation and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 429 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), MRI in cancer diagnosis (2 papers), Cerebrovascular and Carotid Artery Diseases (2 papers), Glioma Diagnosis and Treatment (2 papers), Head and Neck Cancer Studies (1 paper), Advanced X-ray and CT Imaging (1 paper), Medical Image Segmentation Techniques (1 paper) and Machine Learning in Healthcare (1 paper). The work is most often cited by research in Health Informatics (36 citations), Otorhinolaryngology (30 citations), Radiology, Nuclear Medicine and Imaging (153 citations), Health Information Management (27 citations) and Neurology (47 citations). Sungwon Ham has collaborated with scholars based in South Korea, Japan and South Sudan. Frequent co-authors include Namkug Kim, Hyunna Lee, Jihye Yun, Ho Sung Kim, Ji Eun Park, Eun‐Jae Lee, Sun U. Kwon, Jong S. Kim, Han-Bin Lee and Ji Sung Lee. Their work appears in journals such as Scientific Reports, Korean Journal of Radiology, European Radiology, La radiologia medica and Stroke.
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.