Soopil Kim
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition
- Radiology, Nuclear Medicine and Imaging
- Cognitive Neuroscience
- Epidemiology
- Co-authors
- Sang Hyun ParkPhilip ChikontweKilian M. PohlEhsan AdeliKyong Hwan JinSe Hoon KimSeung‐Koo LeeYae Won Park
- Topics
- Privacy-Preserving Technologies in Data (4 papers)Domain Adaptation and Few-Shot Learning (4 papers)Radiomics and Machine Learning in Medical Imaging (2 papers)
- Partner nations
- South KoreaUnited States
In The Last Decade
Soopil Kim
13 papers receiving 221 citations
Peers
Comparison fields: 5 of 57
- Artificial Intelligence 105
- Computer Vision and Pattern Recognition 52
- Radiology, Nuclear Medicine and Imaging 52
- Cognitive Neuroscience 49
- Epidemiology 19
Countries citing papers authored by Soopil Kim
This map shows the geographic impact of Soopil Kim'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 Soopil Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Soopil Kim more than expected).
Fields of papers citing papers by Soopil Kim
This network shows the impact of papers produced by Soopil Kim. 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 Soopil Kim. The network helps show where Soopil Kim may publish in the future.
Co-authorship network of co-authors of Soopil Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Soopil Kim. A scholar is included among the top collaborators of Soopil Kim 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 Soopil Kim. Soopil Kim 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 | 15 | |
| 3 | 5 | |
| 4 | 7 | |
| 5 | 14 | |
| 6 | 15 | |
| 7 | 5 | |
| 8 | 24 | |
| 9 | 30 | |
| 10 | 6 | |
| 11 | 32 | |
| 12 | 27 | |
| 13 | 10 | |
| 14 | 31 |
About Soopil Kim
Soopil Kim is a scholar working on Health Informatics, Artificial Intelligence and Signal Processing, having authored 14 papers that have together received 221 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (4 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Health Informatics (8 citations), Artificial Intelligence (105 citations) and Computer Vision and Pattern Recognition (52 citations). Soopil Kim has collaborated with scholars based in South Korea and United States. Frequent co-authors include Sang Hyun Park, Philip Chikontwe, Kilian M. Pohl, Ehsan Adeli, Kyong Hwan Jin, Se Hoon Kim, Seung‐Koo Lee, Yae Won Park, Sung Soo Ahn and Jong Hee Chang. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Medical Imaging and Pattern Recognition.
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.