Min Sun Bae
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Ultrasound Imaging and Elastography
- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
- Cancer Research top 5%
- Breast Cancer Treatment Studies
Papers in
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- MRI in cancer diagnosis 10
- Ultrasound Imaging and Elastography 9
- Medical Imaging Techniques and Applications 6
- Radiomics and Machine Learning in Medical Imaging 6
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- Breast Cancer Treatment Studies 11
- 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 (8 papers)Acta Radiologica (7 papers)Medical Physics (2 papers)Computer Methods and Programs in Biomedicine (2 papers)
- Partner nations
- South KoreaUnited StatesTaiwan
In The Last Decade
Min Sun Bae
54 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 75
- Radiology, Nuclear Medicine and Imaging 897
- Cancer Research 352
- Pathology and Forensic Medicine 217
- Artificial Intelligence 381
- Pulmonary and Respiratory Medicine 271
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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 149 | |
| 2 | 2013 | 129 | |
| 3 | 2017 | 120 | |
| 4 | 2016 | 108 | |
| 5 | 2014 | 98 | |
| 6 | 2012 | 97 | |
| 7 | 2013 | 91 | |
| 8 | 2012 | 86 | |
| 9 | 2013 | 76 | |
| 10 | 2014 | 52 | |
| 11 | 2014 | 51 | |
| 12 | 2013 | 49 | |
| 13 | 2013 | 45 | |
| 14 | 2011 | 41 | |
| 15 | 2015 | 40 | |
| 16 | 2015 | 39 | |
| 17 | 2017 | 36 | |
| 18 | 2017 | 29 | |
| 19 | 2017 | 29 | |
| 20 | 2013 | 25 |
About Min Sun Bae
Min Sun Bae is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research, Pulmonary and Respiratory Medicine, Artificial Intelligence and Pathology and Forensic Medicine, having authored 58 papers that have together received 1.8k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (11 papers), MRI in cancer diagnosis (10 papers), Digital Radiography and Breast Imaging (10 papers), Ultrasound Imaging and Elastography (9 papers), AI in cancer detection (7 papers), Medical Imaging Techniques and Applications (6 papers), Breast Lesions and Carcinomas (6 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (897 citations), Cancer Research (352 citations), Pathology and Forensic Medicine (217 citations), Artificial Intelligence (381 citations) and Pulmonary and Respiratory Medicine (271 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, Wonshik Han and Ruey‐Feng Chang. Their work appears in journals such as Radiology, European Radiology, Acta Radiologica, Medical Physics and Computer Methods and Programs in Biomedicine.
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.