Yuming Shen
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Biomedical Engineering
- Cardiology and Cardiovascular Medicine
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Li LiuLing ShaoFumin ShenPhilip H. S. TorrXianglong LiuHengshuang ZhaoGuoying ZhaoJingang Shi
- Topics
- Advanced Image and Video Retrieval Techniques (13 papers)Multimodal Machine Learning Applications (13 papers)Domain Adaptation and Few-Shot Learning (11 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceCardiology and Cardiovascular Medicine
- Journals
- Pattern RecognitionPlastic & Reconstructive SurgeryInternational Journal of Computer Vision
- Partner nations
- ChinaUnited KingdomUnited Arab Emirates
In The Last Decade
Yuming Shen
37 papers receiving 938 citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 581
- Artificial Intelligence 323
- Biomedical Engineering 201
- Cardiology and Cardiovascular Medicine 136
- Radiology, Nuclear Medicine and Imaging 69
Countries citing papers authored by Yuming Shen
This map shows the geographic impact of Yuming Shen'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 Yuming Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuming Shen more than expected).
Fields of papers citing papers by Yuming Shen
This network shows the impact of papers produced by Yuming Shen. 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 Yuming Shen. The network helps show where Yuming Shen may publish in the future.
Co-authorship network of co-authors of Yuming Shen
This figure shows the co-authorship network connecting the top 25 collaborators of Yuming Shen. A scholar is included among the top collaborators of Yuming Shen 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 Yuming Shen. Yuming Shen 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 | 5 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 10 | |
| 6 | 1 | |
| 7 | 74 | |
| 8 | PhysFormer: Facial Video-based Physiological Measurement with Temporal Difference Transformerbreakdown → | 142 |
| 9 | 16 | |
| 10 | 13 | |
| 11 | 42 | |
| 12 | 13 | |
| 13 | 10 | |
| 14 | 48 | |
| 15 | 6 | |
| 16 | 10 | |
| 17 | 4 | |
| 18 | 23 | |
| 19 | 2 | |
| 20 | 1 |
About Yuming Shen
Yuming Shen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cancer Research, having authored 39 papers that have together received 949 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (13 papers), Multimodal Machine Learning Applications (13 papers) and Domain Adaptation and Few-Shot Learning (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (581 citations), Artificial Intelligence (323 citations) and Cardiology and Cardiovascular Medicine (136 citations). Yuming Shen has collaborated with scholars based in China, United Kingdom and United Arab Emirates. Frequent co-authors include Li Liu, Ling Shao, Fumin Shen, Philip H. S. Torr, Xianglong Liu, Hengshuang Zhao, Guoying Zhao, Jingang Shi, Zitong Yu and Haofeng Zhang. Their work appears in journals such as Pattern Recognition, Plastic & Reconstructive Surgery and International Journal of Computer Vision.
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.