Seonwook Park
- Radiology, Nuclear Medicine and Imaging top 10%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Human-Computer Interaction top 5%
- Oncology
- Co-authors
- Otmar HilligesXucong ZhangAndreas BullingSérgio PereiraMarc PollefeysThomas SchöpsDong‐Geun YooMingu Kang
- Topics
- Radiomics and Machine Learning in Medical Imaging (15 papers)Cancer Immunotherapy and Biomarkers (10 papers)Cancer Genomics and Diagnostics (8 papers)
- Cited by
- Human-Computer InteractionRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaEuropean Journal of Cancer
- Partner nations
- South KoreaUnited StatesHong Kong
In The Last Decade
Seonwook Park
24 papers receiving 428 citations
Peers
Comparison fields: 5 of 55
- Radiology, Nuclear Medicine and Imaging 164
- Computer Vision and Pattern Recognition 127
- Artificial Intelligence 126
- Human-Computer Interaction 104
- Oncology 103
Countries citing papers authored by Seonwook Park
This map shows the geographic impact of Seonwook 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 Seonwook Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seonwook Park more than expected).
Fields of papers citing papers by Seonwook Park
This network shows the impact of papers produced by Seonwook 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 Seonwook Park. The network helps show where Seonwook Park may publish in the future.
Co-authorship network of co-authors of Seonwook Park
This figure shows the co-authorship network connecting the top 25 collaborators of Seonwook Park. A scholar is included among the top collaborators of Seonwook Park 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 Seonwook Park. Seonwook Park is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 5 | |
| 3 | 4 | |
| 4 | 14 | |
| 5 | 5 | |
| 6 | 23 | |
| 7 | 18 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 12 | |
| 11 | 67 | |
| 12 | 1 | |
| 13 | 40 | |
| 14 | 8 | |
| 15 | 10 | |
| 16 | 1 | |
| 17 | 5 | |
| 18 | 3 | |
| 19 | 98 | |
| 20 | 62 |
About Seonwook Park
Seonwook Park is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research and Human-Computer Interaction, having authored 24 papers that have together received 437 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (15 papers), Cancer Immunotherapy and Biomarkers (10 papers) and Cancer Genomics and Diagnostics (8 papers). The work is most often cited by research in Human-Computer Interaction (104 citations), Radiology, Nuclear Medicine and Imaging (164 citations) and Computer Vision and Pattern Recognition (127 citations). Seonwook Park has collaborated with scholars based in South Korea, United States and Hong Kong. Frequent co-authors include Otmar Hilliges, Xucong Zhang, Andreas Bulling, Sérgio Pereira, Marc Pollefeys, Thomas Schöps, Dong‐Geun Yoo, Mingu Kang, Chan‐Young Ock and Soo Ick Cho. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and European Journal of Cancer.
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.