Yangqin Feng
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Ophthalmology top 5%
- Oncology
- Co-authors
- Lei ZhangJuan MoYan WangYi ZhangZizhou WangLiangli ZhenRick Siow Mong GohJoey Tianyi Zhou
- Topics
- AI in cancer detection (8 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)COVID-19 diagnosis using AI (4 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Medical ImagingFrontiers in PsychologyIEEE Transactions on Cybernetics
- Partner nations
- SingaporeChinaUnited Kingdom
In The Last Decade
Yangqin Feng
20 papers receiving 425 citations
Peers
Comparison fields: 5 of 68
- Radiology, Nuclear Medicine and Imaging 258
- Artificial Intelligence 232
- Computer Vision and Pattern Recognition 165
- Ophthalmology 68
- Oncology 53
Countries citing papers authored by Yangqin Feng
This map shows the geographic impact of Yangqin Feng'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 Yangqin Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yangqin Feng more than expected).
Fields of papers citing papers by Yangqin Feng
This network shows the impact of papers produced by Yangqin Feng. 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 Yangqin Feng. The network helps show where Yangqin Feng may publish in the future.
Co-authorship network of co-authors of Yangqin Feng
This figure shows the co-authorship network connecting the top 25 collaborators of Yangqin Feng. A scholar is included among the top collaborators of Yangqin Feng 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 Yangqin Feng. Yangqin Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 15 | |
| 3 | 15 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 19 | |
| 7 | 59 | |
| 8 | 12 | |
| 9 | 7 | |
| 10 | 23 | |
| 11 | 2 | |
| 12 | 12 | |
| 13 | 23 | |
| 14 | 28 | |
| 15 | 5 | |
| 16 | 2 | |
| 17 | 64 | |
| 18 | 96 | |
| 19 | 3 | |
| 20 | 52 |
About Yangqin Feng
Yangqin Feng is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 20 papers that have together received 444 indexed citations. Recurring topics across this work include AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and COVID-19 diagnosis using AI (4 papers). The work is most often cited by research in Health Informatics (21 citations), Radiology, Nuclear Medicine and Imaging (258 citations) and Computer Vision and Pattern Recognition (165 citations). Yangqin Feng has collaborated with scholars based in Singapore, China and United Kingdom. Frequent co-authors include Lei Zhang, Juan Mo, Lei Zhang, Yan Wang, Yi Zhang, Zizhou Wang, Liangli Zhen, Rick Siow Mong Goh, Joey Tianyi Zhou and Yong Liu. Their work appears in journals such as IEEE Transactions on Medical Imaging, Frontiers in Psychology and IEEE Transactions on Cybernetics.
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.