Mingrui Zhu
- Computer Vision and Pattern Recognition top 5%
- Molecular Biology
- Cancer Research
- Signal Processing top 10%
- Artificial Intelligence
- Co-authors
- Xinbo GaoNannan WangJie LiXiaoyu WangYangjian JiWei LanBin SongZan Li
- Topics
- Face recognition and analysis (15 papers)Generative Adversarial Networks and Image Synthesis (13 papers)Face and Expression Recognition (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionSignal ProcessingComputer Graphics and Computer-Aided Design
- Journals
- Nature CommunicationsJournal of Agricultural and Food ChemistryIEEE Transactions on Image Processing
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Mingrui Zhu
39 papers receiving 631 citations
Peers
Comparison fields: 5 of 90
- Computer Vision and Pattern Recognition 361
- Molecular Biology 102
- Cancer Research 72
- Signal Processing 72
- Artificial Intelligence 61
Countries citing papers authored by Mingrui Zhu
This map shows the geographic impact of Mingrui Zhu'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 Mingrui Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingrui Zhu more than expected).
Fields of papers citing papers by Mingrui Zhu
This network shows the impact of papers produced by Mingrui Zhu. 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 Mingrui Zhu. The network helps show where Mingrui Zhu may publish in the future.
Co-authorship network of co-authors of Mingrui Zhu
This figure shows the co-authorship network connecting the top 25 collaborators of Mingrui Zhu. A scholar is included among the top collaborators of Mingrui Zhu 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 Mingrui Zhu. Mingrui Zhu 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 | 0 | |
| 4 | 2 | |
| 5 | 12 | |
| 6 | 13 | |
| 7 | 5 | |
| 8 | 7 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 5 | |
| 13 | 0 | |
| 14 | 9 | |
| 15 | 19 | |
| 16 | 36 | |
| 17 | 33 | |
| 18 | 1 | |
| 19 | 56 | |
| 20 | 16 |
About Mingrui Zhu
Mingrui Zhu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Graphics and Computer-Aided Design, having authored 42 papers that have together received 647 indexed citations. Recurring topics across this work include Face recognition and analysis (15 papers), Generative Adversarial Networks and Image Synthesis (13 papers) and Face and Expression Recognition (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (361 citations), Signal Processing (72 citations) and Computer Graphics and Computer-Aided Design (20 citations). Mingrui Zhu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Xinbo Gao, Nannan Wang, Nannan Wang, Jie Li, Jie Li, Xiaoyu Wang, Yangjian Ji, Wei Lan, Jie Li and Bin Song. Their work appears in journals such as Nature Communications, Journal of Agricultural and Food Chemistry and IEEE Transactions on Image Processing.
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.