Man-Sheng Chen
Impact in
- Computational Mathematics top 2%
-
- Face and Expression Recognition
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
Papers in
-
- Face and Expression Recognition 14
- Video Surveillance and Tracking Methods 4
-
- Advanced Graph Neural Networks 9
- Advanced Clustering Algorithms Research 8
- Co-authors
- Chang‐Dong Wang (27 shared papers)Dong Huang (12 shared papers)Jianhuang Lai (12 shared papers)Ling Huang (4 shared papers)Philip S. Yu (4 shared papers)Jiaqi Lin (8 shared papers)Haizhang Zhang (4 shared papers)Yuefang Gao (1 shared paper)
- Journals
- IEEE Transactions on Neural Networks and Learning Systems (6 papers)IEEE Transactions on Knowledge and Data Engineering (3 papers)Neural Networks (2 papers)Data Science and Engineering (2 papers)Information Fusion (2 papers)
- Partner nations
- ChinaUnited StatesUnited Arab Emirates
In The Last Decade
Man-Sheng Chen
25 papers receiving 815 citations
Peers
Comparison fields: 5 of 47
- Computational Mathematics 66
- Computer Vision and Pattern Recognition 615
- Urban Studies 89
- Artificial Intelligence 458
- Media Technology 96
Countries citing papers authored by Man-Sheng Chen
This map shows the geographic impact of Man-Sheng Chen'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 Man-Sheng Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Man-Sheng Chen more than expected).
Fields of papers citing papers by Man-Sheng Chen
This network shows the impact of papers produced by Man-Sheng Chen. 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 Man-Sheng Chen. The network helps show where Man-Sheng Chen may publish in the future.
Co-authors
The 19 scholars most cited alongside Man-Sheng Chen, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 218 | |
| 2 | 2022 | 96 | |
| 3 | 2022 | 92 | |
| 4 | 2020 | 73 | |
| 5 | 2022 | 67 | |
| 6 | 2022 | 57 | |
| 7 | 2020 | 46 | |
| 8 | 2020 | 42 | |
| 9 | 2022 | 27 | |
| 10 | 2022 | 24 | |
| 11 | 2022 | 18 | |
| 12 | 2024 | 11 | |
| 13 | 2024 | 11 | |
| 14 | 2024 | 8 | |
| 15 | 2023 | 7 | |
| 16 | 2023 | 5 | |
| 17 | 2025 | 5 | |
| 18 | 2024 | 4 | |
| 19 | 2024 | 2 | |
| 20 | 2025 | 1 |
About Man-Sheng Chen
Man-Sheng Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Information Systems and Statistical and Nonlinear Physics, having authored 28 papers that have together received 819 indexed citations. Recurring topics across this work include Face and Expression Recognition (14 papers), Advanced Graph Neural Networks (9 papers), Advanced Clustering Algorithms Research (8 papers), Remote-Sensing Image Classification (6 papers), Complex Network Analysis Techniques (5 papers), Video Surveillance and Tracking Methods (4 papers), Recommender Systems and Techniques (3 papers) and Tensor decomposition and applications (3 papers). The work is most often cited by research in Computational Mathematics (66 citations), Computer Vision and Pattern Recognition (615 citations), Urban Studies (89 citations), Artificial Intelligence (458 citations) and Media Technology (96 citations). Man-Sheng Chen has collaborated with scholars based in China, United States and United Arab Emirates. Frequent co-authors include Chang‐Dong Wang, Dong Huang, Jianhuang Lai, Ling Huang, Philip S. Yu, Jiaqi Lin, Haizhang Zhang, Yuefang Gao, Zhiyuan Li and Xiangcheng Li. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Knowledge and Data Engineering, Neural Networks, Data Science and Engineering and Information Fusion.
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.