Mingkuan Yuan
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 10%
- Signal Processing
- Biomedical Engineering
- Media Technology
- Co-authors
- Yuxin PengJian ZhangXin HuangZhilan HuJie ChenZeyu HuangJunfeng ChenXiyang Wang
- Topics
- Advanced Image and Video Retrieval Techniques (5 papers)Multimodal Machine Learning Applications (4 papers)Video Surveillance and Tracking Methods (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceComputer Graphics and Computer-Aided Design
- Journals
- IEEE Transactions on CyberneticsIEEE Transactions on Circuits and Systems for Video TechnologyIEEE Transactions on Multimedia
- Partner nations
- China
In The Last Decade
Mingkuan Yuan
8 papers receiving 505 citations
Peers
Comparison fields: 5 of 48
- Computer Vision and Pattern Recognition 470
- Artificial Intelligence 145
- Signal Processing 24
- Biomedical Engineering 19
- Media Technology 16
Countries citing papers authored by Mingkuan Yuan
This map shows the geographic impact of Mingkuan Yuan'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 Mingkuan Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingkuan Yuan more than expected).
Fields of papers citing papers by Mingkuan Yuan
This network shows the impact of papers produced by Mingkuan Yuan. 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 Mingkuan Yuan. The network helps show where Mingkuan Yuan may publish in the future.
Co-authorship network of co-authors of Mingkuan Yuan
This figure shows the co-authorship network connecting the top 25 collaborators of Mingkuan Yuan. A scholar is included among the top collaborators of Mingkuan Yuan 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 Mingkuan Yuan. Mingkuan Yuan 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 | 37 | |
| 3 | 47 | |
| 4 | 61 | |
| 5 | 161 | |
| 6 | 108 | |
| 7 | 97 | |
| 8 | 1 |
About Mingkuan Yuan
Mingkuan Yuan is a scholar working on Computer Vision and Pattern Recognition, Radiation and Radiology, Nuclear Medicine and Imaging, having authored 8 papers that have together received 513 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (5 papers), Multimodal Machine Learning Applications (4 papers) and Video Surveillance and Tracking Methods (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (470 citations), Artificial Intelligence (145 citations) and Computer Graphics and Computer-Aided Design (9 citations). Mingkuan Yuan has collaborated with scholars based in China. Frequent co-authors include Yuxin Peng, Jian Zhang, Xin Huang, Zhilan Hu, Jie Chen, Zeyu Huang, Junfeng Chen, Xiyang Wang and Sishen Xie. Their work appears in journals such as IEEE Transactions on Cybernetics, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Multimedia.
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.