Jung Min Bae
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence
- Epidemiology
- Surgery
- Pulmonary and Respiratory Medicine
- Co-authors
- Eun Young KoSoo Yeon HahnJung Hee ShinBoo‐Kyung HanJi Soo ChoiEun Sook KoMi-ri KwonTae Yeon Jeon
- Topics
- Radiomics and Machine Learning in Medical Imaging (3 papers)Breast Lesions and Carcinomas (3 papers)Head and Neck Anomalies (2 papers)
- Partner nations
- South KoreaNetherlandsUnited States
In The Last Decade
Jung Min Bae
15 papers receiving 305 citations
Peers
Comparison fields: 5 of 68
- Radiology, Nuclear Medicine and Imaging 140
- Artificial Intelligence 74
- Epidemiology 67
- Surgery 66
- Pulmonary and Respiratory Medicine 55
Countries citing papers authored by Jung Min Bae
This map shows the geographic impact of Jung Min Bae'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 Jung Min Bae with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jung Min Bae more than expected).
Fields of papers citing papers by Jung Min Bae
This network shows the impact of papers produced by Jung Min Bae. 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 Jung Min Bae. The network helps show where Jung Min Bae may publish in the future.
Co-authorship network of co-authors of Jung Min Bae
This figure shows the co-authorship network connecting the top 25 collaborators of Jung Min Bae. A scholar is included among the top collaborators of Jung Min Bae based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jung Min Bae. Jung Min Bae is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 5 | |
| 3 | 11 | |
| 4 | 83 | |
| 5 | 18 | |
| 6 | 4 | |
| 7 | 18 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | 17 | |
| 11 | 47 | |
| 12 | 59 | |
| 13 | 2 | |
| 14 | 4 | |
| 15 | 2 |
About Jung Min Bae
Jung Min Bae is a scholar working on Dermatology, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 15 papers that have together received 308 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), Breast Lesions and Carcinomas (3 papers) and Head and Neck Anomalies (2 papers). The work is most often cited by research in Health Informatics (14 citations), Radiology, Nuclear Medicine and Imaging (140 citations) and Hepatology (36 citations). Jung Min Bae has collaborated with scholars based in South Korea, Netherlands and United States. Frequent co-authors include Eun Young Ko, Soo Yeon Hahn, Jung Hee Shin, Boo‐Kyung Han, Ji Soo Choi, Eun Sook Ko, Mi-ri Kwon, Tae Yeon Jeon, Ji Hye Kim and Seokhwi Kim. Their work appears in journals such as Annals of the Rheumatic Diseases, Journal of the American Academy of Dermatology and Medicine.
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.