Jin Uk Heo
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition
- Health Informatics top 5%
- Pulmonary and Respiratory Medicine
- Topics
- Radiomics and Machine Learning in Medical Imaging (5 papers)AI in cancer detection (3 papers)Medical Imaging Techniques and Applications (2 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Jin Uk Heo
5 papers receiving 270 citations
Peers
Comparison fields: 5 of 70
- Radiology, Nuclear Medicine and Imaging 199
- Artificial Intelligence 139
- Computer Vision and Pattern Recognition 48
- Health Informatics 45
- Pulmonary and Respiratory Medicine 22
Countries citing papers authored by Jin Uk Heo
This map shows the geographic impact of Jin Uk Heo'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 Jin Uk Heo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Uk Heo more than expected).
Fields of papers citing papers by Jin Uk Heo
This network shows the impact of papers produced by Jin Uk Heo. 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 Jin Uk Heo. The network helps show where Jin Uk Heo may publish in the future.
Co-authorship network of co-authors of Jin Uk Heo
This figure shows the co-authorship network connecting the top 25 collaborators of Jin Uk Heo. A scholar is included among the top collaborators of Jin Uk Heo 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 Jin Uk Heo. Jin Uk Heo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 209 | |
| 5 | 47 |
About Jin Uk Heo
Jin Uk Heo is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 5 papers that have together received 280 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), AI in cancer detection (3 papers) and Medical Imaging Techniques and Applications (2 papers). The work is most often cited by research in Health Informatics (45 citations), Radiology, Nuclear Medicine and Imaging (199 citations) and Artificial Intelligence (139 citations). Jin Uk Heo has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Il Hyun Choi, Hui Geng, Byung Jun Min, Tin Lok Chiu, Seung‐Hoon Yoo, Siu Ki Yu, Ho Lee, Minsung Choi, Feifei Zhou and Atallah Baydoun. Their work appears in journals such as IEEE Access, IEEE Transactions on Medical Imaging and Frontiers in Medicine.
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.