Mingwu Ren
Impact in
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- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
Papers in
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- Video Surveillance and Tracking Methods 13
- Advanced Image and Video Retrieval Techniques 11
- Human Pose and Action Recognition 9
- Face and Expression Recognition 7
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- Robotics and Sensor-Based Localization 8
- Co-authors
- Jingyu Yang (15 shared papers)Han Sun (3 shared papers)Yasushi Yagi (6 shared papers)Yasushi Makihara (6 shared papers)Chi Xu (6 shared papers)Xiang Li (6 shared papers)Yujie Zheng (1 shared paper)Qiong Wang (1 shared paper)
In The Last Decade
Mingwu Ren
60 papers receiving 977 citations
Peers
Comparison fields: 5 of 99
- Computer Vision and Pattern Recognition 637
- Human-Computer Interaction 108
- Media Technology 90
- Experimental and Cognitive Psychology 98
- Automotive Engineering 88
Countries citing papers authored by Mingwu Ren
This map shows the geographic impact of Mingwu 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 Mingwu Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingwu Ren more than expected).
Fields of papers citing papers by Mingwu Ren
This network shows the impact of papers produced by Mingwu 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 Mingwu Ren. The network helps show where Mingwu Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingwu Ren, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 139 | |
| 2 | 2020 | 84 | |
| 3 | 2016 | 81 | |
| 4 | 2002 | 76 | |
| 5 | 2009 | 63 | |
| 6 | 2004 | 56 | |
| 7 | 2019 | 51 | |
| 8 | 2016 | 40 | |
| 9 | 2018 | 34 | |
| 10 | 2019 | 27 | |
| 11 | 2016 | 27 | |
| 12 | 2009 | 26 | |
| 13 | 2014 | 25 | |
| 14 | 2020 | 25 | |
| 15 | 2016 | 20 | |
| 16 | 2022 | 18 | |
| 17 | 2014 | 16 | |
| 18 | 2018 | 16 | |
| 19 | 2019 | 16 | |
| 20 | 2005 | 14 |
About Mingwu Ren
Mingwu Ren is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Automotive Engineering, Biomedical Engineering and Media Technology, having authored 66 papers that have together received 1.1k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (13 papers), Advanced Image and Video Retrieval Techniques (11 papers), Autonomous Vehicle Technology and Safety (10 papers), Human Pose and Action Recognition (9 papers), Robotics and Sensor-Based Localization (8 papers), Face and Expression Recognition (7 papers), Remote Sensing and LiDAR Applications (6 papers) and Gait Recognition and Analysis (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (637 citations), Human-Computer Interaction (108 citations), Media Technology (90 citations), Experimental and Cognitive Psychology (98 citations) and Automotive Engineering (88 citations). Mingwu Ren has collaborated with scholars based in China, Japan and Canada. Frequent co-authors include Jingyu Yang, Han Sun, Yasushi Yagi, Yasushi Makihara, Chi Xu, Xiang Li, Yujie Zheng, Qiong Wang, Wankou Yang and Fenglei Xu. Their work appears in journals such as Multimedia Tools and Applications, Pattern Recognition, PLoS ONE, Neurocomputing and Applied Sciences.
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.