Sung-Jong Eun
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
- Urology top 10%
- Urinary Bladder and Prostate Research
Papers in
-
- Medical Image Segmentation Techniques 5
- Image and Object Detection Techniques 3
-
- Kidney Stones and Urolithiasis Treatments 4
- Co-authors
- Jungyoon Kim (7 shared papers)Taeg Keun Whangbo (20 shared papers)Eun Joung Kim (2 shared papers)Khae Hawn Kim (7 shared papers)Su Jin Kim (4 shared papers)Dong Kyun Park (9 shared papers)Seung Hyun Lee (1 shared paper)Sung Tae Cho (1 shared paper)
- Journals
- Multimedia Tools and Applications (2 papers)IEEE Access (2 papers)International Neurourology Journal (15 papers)Journal of Environmental and Public Health (1 paper)PLoS ONE (1 paper)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Sung-Jong Eun
37 papers receiving 358 citations
Peers
Comparison fields: 5 of 110
- Health Informatics 22
- Urology 45
- Human-Computer Interaction 22
- Psychiatry and Mental health 44
- Health Information Management 13
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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 70 | |
| 2 | 2008 | 47 | |
| 3 | 2022 | 31 | |
| 4 | 2022 | 30 | |
| 5 | 2018 | 25 | |
| 6 | 2013 | 17 | |
| 7 | 2021 | 12 | |
| 8 | 2005 | 11 | |
| 9 | 2022 | 10 | |
| 10 | 2018 | 9 | |
| 11 | 2022 | 9 | |
| 12 | 2017 | 9 | |
| 13 | 2022 | 8 | |
| 14 | 2022 | 8 | |
| 15 | 2021 | 8 | |
| 16 | 2017 | 8 | |
| 17 | 2023 | 7 | |
| 18 | 2019 | 6 | |
| 19 | 2023 | 5 | |
| 20 | 2023 | 4 |
About Sung-Jong Eun
Sung-Jong Eun is a scholar working on Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine, Urology, Information Systems and Radiology, Nuclear Medicine and Imaging, having authored 49 papers that have together received 377 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (5 papers), Urinary Bladder and Prostate Research (5 papers), Kidney Stones and Urolithiasis Treatments (4 papers), Advanced MRI Techniques and Applications (4 papers), Education and Learning Interventions (4 papers), Brain Tumor Detection and Classification (3 papers), Medical Imaging Techniques and Applications (3 papers) and Image and Object Detection Techniques (3 papers). The work is most often cited by research in Health Informatics (22 citations), Urology (45 citations), Human-Computer Interaction (22 citations), Psychiatry and Mental health (44 citations) and Health Information Management (13 citations). Sung-Jong Eun has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Jungyoon Kim, Taeg Keun Whangbo, Eun Joung Kim, Khae Hawn Kim, Su Jin Kim, Dong Kyun Park, Seung Hyun Lee, Sung Tae Cho, Yong‐Ku Kim and Gwang‐Woo Jeong. Their work appears in journals such as Multimedia Tools and Applications, IEEE Access, International Neurourology Journal, Journal of Environmental and Public Health and PLoS ONE.
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.