Seong K. Mun
- Radiology, Nuclear Medicine and Imaging top 1%
- Artificial Intelligence top 2%
- Pulmonary and Respiratory Medicine top 5%
- Computer Vision and Pattern Recognition top 2%
- Biomedical Engineering top 10%
- Co-authors
- Matthew T. FreedmanJyh-Shyan LinShih‐Chung B. LoS.-C.B. LoBrian KrasnerSteven C. HoriiBetty A. LevineHuai Li
- Topics
- Digital Radiography and Breast Imaging (64 papers)Radiology practices and education (45 papers)AI in cancer detection (39 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietySHILAP Revista de lepidopterología
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Seong K. Mun
221 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 174
- Radiology, Nuclear Medicine and Imaging 1.2k
- Artificial Intelligence 826
- Pulmonary and Respiratory Medicine 715
- Computer Vision and Pattern Recognition 506
- Biomedical Engineering 387
Countries citing papers authored by Seong K. Mun
This map shows the geographic impact of Seong K. Mun'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 Seong K. Mun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seong K. Mun more than expected).
Fields of papers citing papers by Seong K. Mun
This network shows the impact of papers produced by Seong K. Mun. 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 Seong K. Mun. The network helps show where Seong K. Mun may publish in the future.
Co-authorship network of co-authors of Seong K. Mun
This figure shows the co-authorship network connecting the top 25 collaborators of Seong K. Mun. A scholar is included among the top collaborators of Seong K. Mun 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 Seong K. Mun. Seong K. Mun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 20 | |
| 4 | 1 | |
| 5 | 23 | |
| 6 | 6 | |
| 7 | 3 | |
| 8 | 56 | |
| 9 | 4 | |
| 10 | 4 | |
| 11 | 29 | |
| 12 | 21 | |
| 13 | 9 | |
| 14 | 1 | |
| 15 | 37 | |
| 16 | 9 | |
| 17 | 14 | |
| 18 | Teleradiology over the Internet | 1 |
| 19 | 67 | |
| 20 | 30 |
About Seong K. Mun
Seong K. Mun is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Pulmonary and Respiratory Medicine, having authored 239 papers that have together received 2.9k indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (64 papers), Radiology practices and education (45 papers) and AI in cancer detection (39 papers). The work is most often cited by research in Health Informatics (124 citations), Radiology, Nuclear Medicine and Imaging (1.2k citations) and Artificial Intelligence (826 citations). Seong K. Mun has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Matthew T. Freedman, Jyh-Shyan Lin, Shih‐Chung B. Lo, S.-C.B. Lo, Brian Krasner, Steven C. Horii, Betty A. Levine, Huai Li, S.L. Lou and Heang‐Ping Chan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and SHILAP Revista de lepidopterología.
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.