Min Sun Bae
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Ultrasound Imaging and Elastography
- MRI in cancer diagnosis
- Cancer Research top 5%
- Breast Cancer Treatment Studies
Papers in
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- Radiomics and Machine Learning in Medical Imaging 16
- MRI in cancer diagnosis 15
- Medical Imaging Techniques and Applications 13
- Ultrasound Imaging and Elastography 9
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- Breast Cancer Treatment Studies 22
- Co-authors
- Woo Kyung Moon (34 shared papers)Nariya Cho (24 shared papers)Jung Min Chang (26 shared papers)Won Hwa Kim (19 shared papers)Su Hyun Lee (16 shared papers)Hye Ryoung Koo (14 shared papers)Mirinae Seo (11 shared papers)Ann Yi (11 shared papers)
- Journals
- Radiology (9 papers)European Radiology (7 papers)Acta Radiologica (7 papers)Medical Physics (2 papers)Korean Journal of Radiology (2 papers)
- Partner nations
- South KoreaUnited StatesTaiwan
In The Last Decade
Min Sun Bae
54 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 86
- Radiology, Nuclear Medicine and Imaging 1.2k
- Cancer Research 503
- Pathology and Forensic Medicine 391
- Artificial Intelligence 562
- Oncology 291
Countries citing papers authored by Min Sun Bae
This map shows the geographic impact of Min Sun 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 Min Sun Bae with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Sun Bae more than expected).
Fields of papers citing papers by Min Sun Bae
This network shows the impact of papers produced by Min Sun 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 Min Sun Bae. The network helps show where Min Sun Bae may publish in the future.
Co-authors
The 25 scholars most cited alongside Min Sun Bae, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 144 | |
| 2 | 2013 | 127 | |
| 3 | 2017 | 118 | |
| 4 | 2016 | 104 | |
| 5 | 2014 | 97 | |
| 6 | 2012 | 96 | |
| 7 | 2013 | 90 | |
| 8 | 2012 | 85 | |
| 9 | 2013 | 75 | |
| 10 | 2014 | 52 | |
| 11 | 2014 | 51 | |
| 12 | 2013 | 49 | |
| 13 | 2013 | 44 | |
| 14 | 2011 | 41 | |
| 15 | 2015 | 40 | |
| 16 | 2015 | 38 | |
| 17 | 2017 | 35 | |
| 18 | 2017 | 29 | |
| 19 | 2017 | 28 | |
| 20 | 2013 | 25 |
About Min Sun Bae
Min Sun Bae is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research, Pathology and Forensic Medicine, Artificial Intelligence and Pulmonary and Respiratory Medicine, having authored 56 papers that have together received 1.8k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (22 papers), AI in cancer detection (17 papers), Breast Lesions and Carcinomas (17 papers), Radiomics and Machine Learning in Medical Imaging (16 papers), MRI in cancer diagnosis (15 papers), Medical Imaging Techniques and Applications (13 papers), Digital Radiography and Breast Imaging (12 papers) and Ultrasound Imaging and Elastography (9 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.2k citations), Cancer Research (503 citations), Pathology and Forensic Medicine (391 citations), Artificial Intelligence (562 citations) and Oncology (291 citations). Min Sun Bae has collaborated with scholars based in South Korea, United States and Taiwan. Frequent co-authors include Woo Kyung Moon, Nariya Cho, Jung Min Chang, Won Hwa Kim, Su Hyun Lee, Hye Ryoung Koo, Mirinae Seo, Ann Yi, Ruey‐Feng Chang and Wonshik Han. Their work appears in journals such as Radiology, European Radiology, Acta Radiologica, Medical Physics and Korean Journal of Radiology.
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.