Sung-Jong Eun
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Urology top 10%
- Urinary Bladder and Prostate Research
Papers in
- Urology 9
- Urinary Bladder and Prostate Research 7
-
- Advanced MRI Techniques and Applications 4
- Medical Imaging Techniques and Applications 3
- Co-authors
- Jungyoon Kim (7 shared papers)Taeg Keun Whangbo (17 shared papers)Khae Hawn Kim (7 shared papers)Eun Joung Kim (2 shared papers)Su Jin Kim (4 shared papers)Dong Kyun Park (8 shared papers)Sung Tae Cho (1 shared paper)Seung Hyun Lee (1 shared paper)
- Journals
- IEEE Access (2 papers)Multimedia Tools and Applications (2 papers)International Neurourology Journal (14 papers)Journal of Environmental and Public Health (1 paper)Neural Computing and Applications (1 paper)
- Partner nations
- South KoreaUnited States
In The Last Decade
Sung-Jong Eun
31 papers receiving 247 citations
Peers
Comparison fields: 5 of 97
- Health Informatics 24
- Urology 49
- Human-Computer Interaction 18
- Health Information Management 15
- Computer Vision and Pattern Recognition 43
Countries citing papers authored by Sung-Jong Eun
This map shows the geographic impact of Sung-Jong Eun'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 Sung-Jong Eun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sung-Jong Eun more than expected).
Fields of papers citing papers by Sung-Jong Eun
This network shows the impact of papers produced by Sung-Jong Eun. 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 Sung-Jong Eun. The network helps show where Sung-Jong Eun may publish in the future.
Co-authors
The 25 scholars most cited alongside Sung-Jong Eun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 54 | |
| 2 | 2022 | 26 | |
| 3 | 2022 | 24 | |
| 4 | 2018 | 22 | |
| 5 | 2021 | 12 | |
| 6 | 2022 | 10 | |
| 7 | 2017 | 9 | |
| 8 | 2018 | 9 | |
| 9 | 2022 | 8 | |
| 10 | 2021 | 8 | |
| 11 | 2022 | 8 | |
| 12 | 2017 | 8 | |
| 13 | 2022 | 8 | |
| 14 | 2023 | 6 | |
| 15 | 2019 | 6 | |
| 16 | 2023 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2018 | 3 |
About Sung-Jong Eun
Sung-Jong Eun is a scholar working on Urology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Information Systems and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 261 indexed citations. Recurring topics across this work include Urinary Bladder and Prostate Research (7 papers), Advanced MRI Techniques and Applications (4 papers), Education and Learning Interventions (4 papers), Pelvic floor disorders treatments (4 papers), Medical Imaging Techniques and Applications (3 papers), Innovation in Digital Healthcare Systems (3 papers), Bladder and Urothelial Cancer Treatments (3 papers) and Kidney Stones and Urolithiasis Treatments (3 papers). The work is most often cited by research in Health Informatics (24 citations), Urology (49 citations), Human-Computer Interaction (18 citations), Health Information Management (15 citations) and Computer Vision and Pattern Recognition (43 citations). Sung-Jong Eun has collaborated with scholars based in South Korea and United States. Frequent co-authors include Jungyoon Kim, Taeg Keun Whangbo, Khae Hawn Kim, Eun Joung Kim, Su Jin Kim, Dong Kyun Park, Sung Tae Cho, Seung Hyun Lee, Eun-Young Jung and Jayoung Kim. Their work appears in journals such as IEEE Access, Multimedia Tools and Applications, International Neurourology Journal, Journal of Environmental and Public Health and Neural Computing and Applications.
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.