Ji Eun Oh
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Retinal Imaging and Analysis
Papers in
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- Radiomics and Machine Learning in Medical Imaging 10
- Medical Imaging Techniques and Applications 7
- Retinal Imaging and Analysis 3
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- Digital Radiography and Breast Imaging 9
- Co-authors
- Joohyung Lee (5 shared papers)Dae Kyung Sohn (5 shared papers)Kwang Gi Kim (5 shared papers)Bo Yun Hur (4 shared papers)Hee Jin Chang (2 shared papers)Hee Kyung Yang (3 shared papers)Jeong‐Min Hwang (3 shared papers)Min Ju Kim (3 shared papers)
- Journals
- Journal of Digital Imaging (2 papers)IEEE Access (2 papers)Optics and Lasers in Engineering (2 papers)Cancer Research and Treatment (1 paper)Acta Ophthalmologica (1 paper)
- Partner nations
- South KoreaUnited StatesVietnam
In The Last Decade
Ji Eun Oh
27 papers receiving 308 citations
Peers
Comparison fields: 5 of 68
- Radiology, Nuclear Medicine and Imaging 192
- Health Informatics 6
- Ophthalmology 32
- Leadership and Management 4
- Artificial Intelligence 97
Countries citing papers authored by Ji Eun Oh
This map shows the geographic impact of Ji Eun Oh'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 Ji Eun Oh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji Eun Oh more than expected).
Fields of papers citing papers by Ji Eun Oh
This network shows the impact of papers produced by Ji Eun Oh. 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 Ji Eun Oh. The network helps show where Ji Eun Oh may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji Eun Oh, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 57 | |
| 2 | 2018 | 46 | |
| 3 | 2010 | 43 | |
| 4 | 2016 | 34 | |
| 5 | 2019 | 24 | |
| 6 | 2015 | 19 | |
| 7 | 2018 | 17 | |
| 8 | 2018 | 13 | |
| 9 | 2019 | 12 | |
| 10 | 2018 | 8 | |
| 11 | 2018 | 6 | |
| 12 | 2018 | 6 | |
| 13 | 2018 | 5 | |
| 14 | 2024 | 4 | |
| 15 | 2018 | 4 | |
| 16 | 2018 | 4 | |
| 17 | 2010 | 2 | |
| 18 | 2017 | 2 | |
| 19 | 2013 | 2 | |
| 20 | 2022 | 2 |
About Ji Eun Oh
Ji Eun Oh is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Biomedical Engineering, Computer Vision and Pattern Recognition and Ophthalmology, having authored 29 papers that have together received 317 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (10 papers), Digital Radiography and Breast Imaging (9 papers), Medical Imaging Techniques and Applications (7 papers), Advanced X-ray and CT Imaging (6 papers), Glaucoma and retinal disorders (4 papers), AI in cancer detection (3 papers), Retinal Imaging and Analysis (3 papers) and Retinal Diseases and Treatments (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (192 citations), Health Informatics (6 citations), Ophthalmology (32 citations), Leadership and Management (4 citations) and Artificial Intelligence (97 citations). Ji Eun Oh has collaborated with scholars based in South Korea, United States and Vietnam. Frequent co-authors include Joohyung Lee, Dae Kyung Sohn, Kwang Gi Kim, Bo Yun Hur, Hee Jin Chang, Hee Kyung Yang, Jeong‐Min Hwang, Min Ju Kim, Seonhye Lee and Hong‐Jun Yoon. Their work appears in journals such as Journal of Digital Imaging, IEEE Access, Optics and Lasers in Engineering, Cancer Research and Treatment and Acta Ophthalmologica.
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.