Joonsang Lee
Impact in
-
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
- Health Informatics top 10%
Papers in
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- Radiomics and Machine Learning in Medical Imaging 12
- MRI in cancer diagnosis 5
- Advanced MRI Techniques and Applications 3
- Genetics 7
- Glioma Diagnosis and Treatment 7
- Co-authors
- Arvind Rao (9 shared papers)Jinzhong Yang (4 shared papers)Laurence E. Court (4 shared papers)Ganesh Rao (4 shared papers)Dennis Mackin (3 shared papers)Dalu Yang (1 shared paper)D. J. F. BOWLING (1 shared paper)Michael Lehrer (1 shared paper)
- Journals
- Scientific Reports (5 papers)Magnetic Resonance Imaging (2 papers)Journal of Applied Clinical Medical Physics (2 papers)Physical review. E (1 paper)Advances in Radiation Oncology (1 paper)
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Joonsang Lee
24 papers receiving 502 citations
Peers
Comparison fields: 5 of 76
- Radiology, Nuclear Medicine and Imaging 270
- Health Informatics 16
- Genetics 119
- Surfaces, Coatings and Films 33
- Neurology 22
Countries citing papers authored by Joonsang Lee
This map shows the geographic impact of Joonsang Lee'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 Joonsang Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joonsang Lee more than expected).
Fields of papers citing papers by Joonsang Lee
This network shows the impact of papers produced by Joonsang Lee. 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 Joonsang Lee. The network helps show where Joonsang Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Joonsang Lee, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 68 | |
| 2 | 2015 | 56 | |
| 3 | 2016 | 55 | |
| 4 | 2016 | 55 | |
| 5 | 2020 | 50 | |
| 6 | 2015 | 39 | |
| 7 | 2015 | 32 | |
| 8 | 2022 | 29 | |
| 9 | 1993 | 22 | |
| 10 | 2018 | 21 | |
| 11 | 2024 | 19 | |
| 12 | 2016 | 14 | |
| 13 | 2011 | 8 | |
| 14 | 2011 | 8 | |
| 15 | 2021 | 7 | |
| 16 | 2023 | 5 | |
| 17 | 2017 | 5 | |
| 18 | 2023 | 3 | |
| 19 | 2014 | 3 | |
| 20 | 2019 | 2 |
About Joonsang Lee
Joonsang Lee is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics, Pulmonary and Respiratory Medicine, Artificial Intelligence and Molecular Biology, having authored 24 papers that have together received 506 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (12 papers), Glioma Diagnosis and Treatment (7 papers), MRI in cancer diagnosis (5 papers), AI in cancer detection (4 papers), Colorectal Cancer Screening and Detection (3 papers), Advanced MRI Techniques and Applications (3 papers), Advanced Radiotherapy Techniques (2 papers) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (270 citations), Health Informatics (16 citations), Genetics (119 citations), Surfaces, Coatings and Films (33 citations) and Neurology (22 citations). Joonsang Lee has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Arvind Rao, Jinzhong Yang, Laurence E. Court, Ganesh Rao, Dennis Mackin, Dalu Yang, D. J. F. BOWLING, Michael Lehrer, Lifei Zhang and Xenia Fave. Their work appears in journals such as Scientific Reports, Magnetic Resonance Imaging, Journal of Applied Clinical Medical Physics, Physical review. E and Advances in Radiation Oncology.
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.