Yazhou Ren
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 1%
- Media Technology top 1%
- Molecular Biology
- Statistical and Nonlinear Physics top 5%
- Topics
- Face and Expression Recognition (27 papers)Video Surveillance and Tracking Methods (15 papers)Advanced Image and Video Retrieval Techniques (13 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yazhou Ren
83 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Computer Vision and Pattern Recognition 1.4k
- Artificial Intelligence 1.3k
- Media Technology 361
- Molecular Biology 267
- Statistical and Nonlinear Physics 156
Countries citing papers authored by Yazhou Ren
This map shows the geographic impact of Yazhou Ren'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 Yazhou Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yazhou Ren more than expected).
Fields of papers citing papers by Yazhou Ren
This network shows the impact of papers produced by Yazhou Ren. 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 Yazhou Ren. The network helps show where Yazhou Ren may publish in the future.
Co-authorship network of co-authors of Yazhou Ren
This figure shows the co-authorship network connecting the top 25 collaborators of Yazhou Ren. A scholar is included among the top collaborators of Yazhou Ren 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 Yazhou Ren. Yazhou Ren 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 | 18 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | Deep Clustering: A Comprehensive Surveybreakdown → | 64 |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 17 | |
| 9 | 7 | |
| 10 | 6 | |
| 11 | Adaptive Feature Projection With Distribution Alignment for Deep Incomplete Multi-View Clusteringbreakdown → | 103 |
| 12 | 25 | |
| 13 | 2 | |
| 14 | 45 | |
| 15 | 5 | |
| 16 | 41 | |
| 17 | 15 | |
| 18 | 8 | |
| 19 | 20 | |
| 20 | 19 |
About Yazhou Ren
Yazhou Ren is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 87 papers that have together received 2.7k indexed citations. Recurring topics across this work include Face and Expression Recognition (27 papers), Video Surveillance and Tracking Methods (15 papers) and Advanced Image and Video Retrieval Techniques (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Computational Mathematics (35 citations) and Media Technology (361 citations). Yazhou Ren has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zenglin Xu, Xiaorong Pu, Jie Xu, Lifang He, Xiaofeng Zhu, Lili Pan, Kecheng Chen, Huayi Tang, Guoxian Yu and Liang Peng. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.