Jongchan Park
Impact in
- Health Informatics top 5%
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- Advanced Neural Network Applications
- Human Pose and Action Recognition
Papers in
-
- Domain Adaptation and Few-Shot Learning 7
- Anomaly Detection Techniques and Applications 5
- AI in cancer detection 3
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- Radiomics and Machine Learning in Medical Imaging 9
- COVID-19 diagnosis using AI 4
- Radiology practices and education 2
- Co-authors
- Joon‐Young Lee (2 shared papers)Sanghyun Woo (2 shared papers)In So Kweon (2 shared papers)Minchul Kim (2 shared papers)Dong‐Geol Choi (6 shared papers)Jin Mo Goo (1 shared paper)Jong Hyuk Lee (1 shared paper)Chang Min Park (1 shared paper)
- Journals
- Journal of Clinical Oncology (3 papers)Electronics (2 papers)JCO Global Oncology (1 paper)International Journal of Computer Vision (1 paper)IEEE Robotics and Automation Letters (1 paper)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Jongchan Park
32 papers receiving 402 citations
Peers
Comparison fields: 5 of 98
- Health Informatics 21
- Computer Vision and Pattern Recognition 135
- Radiology, Nuclear Medicine and Imaging 98
- Media Technology 41
- Acoustics and Ultrasonics 4
Countries citing papers authored by Jongchan Park
This map shows the geographic impact of Jongchan Park'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 Jongchan Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jongchan Park more than expected).
Fields of papers citing papers by Jongchan Park
This network shows the impact of papers produced by Jongchan Park. 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 Jongchan Park. The network helps show where Jongchan Park may publish in the future.
Co-authors
The 25 scholars most cited alongside Jongchan Park, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 115 | |
| 2 | 2020 | 77 | |
| 3 | 2022 | 33 | |
| 4 | 2021 | 25 | |
| 5 | 2020 | 19 | |
| 6 | 2024 | 15 | |
| 7 | 2021 | 15 | |
| 8 | Reducing Domain Gap via Style-Agnostic Networks. | 2019 | 14 |
| 9 | 2021 | 12 | |
| 10 | 2004 | 12 | |
| 11 | 2024 | 8 | |
| 12 | 2024 | 8 | |
| 13 | 2019 | 7 | |
| 14 | Economic consequences and financial statement effects of SFAS No. 133 in bank holding companies | 2004 | 7 |
| 15 | 2021 | 6 | |
| 16 | 2024 | 5 | |
| 17 | 2025 | 5 | |
| 18 | 2021 | 3 | |
| 19 | Changes in Earnings Timeliness and Conservatism Due to the Accounting Reform After the 1997 Korean Financial Crisis | 2005 | 3 |
| 20 | 2021 | 3 |
About Jongchan Park
Jongchan Park is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Surgery and Biophysics, having authored 39 papers that have together received 414 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (9 papers), Domain Adaptation and Few-Shot Learning (7 papers), Anomaly Detection Techniques and Applications (5 papers), Advanced Neural Network Applications (4 papers), COVID-19 diagnosis using AI (4 papers), AI in cancer detection (3 papers), Radiology practices and education (2 papers) and Advanced Fluorescence Microscopy Techniques (2 papers). The work is most often cited by research in Health Informatics (21 citations), Computer Vision and Pattern Recognition (135 citations), Radiology, Nuclear Medicine and Imaging (98 citations), Media Technology (41 citations) and Acoustics and Ultrasonics (4 citations). Jongchan Park has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Joon‐Young Lee, Sanghyun Woo, In So Kweon, Minchul Kim, Dong‐Geol Choi, Jin Mo Goo, Jong Hyuk Lee, Chang Min Park, Eui Jin Hwang and Ju Gang Nam. Their work appears in journals such as Journal of Clinical Oncology, Electronics, JCO Global Oncology, International Journal of Computer Vision and IEEE Robotics and Automation Letters.
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.