Shengmei Shen
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 10%
- Signal Processing top 5%
- Experimental and Cognitive Psychology
- Computer Networks and Communications
- Co-authors
- Jiashi FengJian ZhaoSugiri PranataKarlekar JayashreeJianshu LiJunliang XingLin XiongCheng Yu
- Topics
- Video Surveillance and Tracking Methods (9 papers)Face recognition and analysis (7 papers)Face and Expression Recognition (5 papers)
- Journals
- IEEE Transactions on Intelligent Transportation SystemsIEEE Transactions on Circuits and Systems for Video TechnologyIEEE Transactions on Systems Man and Cybernetics Systems
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Shengmei Shen
16 papers receiving 561 citations
Peers
Comparison fields: 5 of 72
- Computer Vision and Pattern Recognition 462
- Artificial Intelligence 157
- Signal Processing 136
- Experimental and Cognitive Psychology 54
- Computer Networks and Communications 45
Countries citing papers authored by Shengmei Shen
This map shows the geographic impact of Shengmei 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 Shengmei Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengmei Shen more than expected).
Fields of papers citing papers by Shengmei Shen
This network shows the impact of papers produced by Shengmei 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 Shengmei Shen. The network helps show where Shengmei Shen may publish in the future.
Co-authorship network of co-authors of Shengmei Shen
This figure shows the co-authorship network connecting the top 25 collaborators of Shengmei Shen. A scholar is included among the top collaborators of Shengmei 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 Shengmei Shen. Shengmei 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 | 1 | |
| 2 | 48 | |
| 3 | 44 | |
| 4 | 3 | |
| 5 | 19 | |
| 6 | 4 | |
| 7 | 44 | |
| 8 | 2 | |
| 9 | 63 | |
| 10 | 180 | |
| 11 | 30 | |
| 12 | 4 | |
| 13 | 10 | |
| 14 | 34 | |
| 15 | 59 | |
| 16 | 37 |
About Shengmei Shen
Shengmei Shen is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Human-Computer Interaction, having authored 16 papers that have together received 582 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (9 papers), Face recognition and analysis (7 papers) and Face and Expression Recognition (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (462 citations), Signal Processing (136 citations) and Artificial Intelligence (157 citations). Shengmei Shen has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Jiashi Feng, Jian Zhao, Sugiri Pranata, Karlekar Jayashree, Jianshu Li, Junliang Xing, Lin Xiong, Cheng Yu, Shuicheng Yan and Fang Zhao. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Systems Man and Cybernetics Systems.
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.