Man-Sheng Chen

1.1k total citations
27 papers, 766 citations indexed

About

Man-Sheng Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Man-Sheng Chen has authored 27 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 6 papers in Media Technology. Recurrent topics in Man-Sheng Chen's work include Face and Expression Recognition (14 papers), Advanced Graph Neural Networks (8 papers) and Advanced Clustering Algorithms Research (7 papers). Man-Sheng Chen is often cited by papers focused on Face and Expression Recognition (14 papers), Advanced Graph Neural Networks (8 papers) and Advanced Clustering Algorithms Research (7 papers). Man-Sheng Chen collaborates with scholars based in China, United States and United Kingdom. Man-Sheng Chen's co-authors include Chang‐Dong Wang, Dong Huang, Jianhuang Lai, Ling Huang, Philip S. Yu, Xianglong Li, Jiaqi Lin, Haizhang Zhang, Yuefang Gao and Zhiyuan Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Cybernetics and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Man-Sheng Chen

19 papers receiving 761 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Man-Sheng Chen China 12 595 447 97 89 64 27 766
Lele Fu China 10 290 0.5× 271 0.6× 45 0.5× 52 0.6× 37 0.6× 27 464
Xinzhong Zhu China 5 455 0.8× 377 0.8× 124 1.3× 69 0.8× 40 0.6× 15 641
Wang-Tao Zhou China 4 296 0.5× 230 0.5× 67 0.7× 66 0.7× 34 0.5× 6 426
Zhiping Lin China 3 284 0.5× 320 0.7× 52 0.5× 66 0.7× 98 1.5× 4 465
Zhitong Zhao China 4 289 0.5× 204 0.5× 67 0.7× 65 0.7× 30 0.5× 8 371
Naiyao Liang China 9 348 0.6× 202 0.5× 52 0.5× 82 0.9× 16 0.3× 21 437
Lai Tian China 10 346 0.6× 249 0.6× 86 0.9× 59 0.7× 33 0.5× 14 469
Jie Wen China 9 293 0.5× 245 0.5× 42 0.4× 29 0.3× 9 0.1× 17 410

Countries citing papers authored by Man-Sheng Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Man-Sheng Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Man-Sheng Chen. A scholar is included among the top collaborators of Man-Sheng Chen 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 Man-Sheng Chen. Man-Sheng Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chen, Man-Sheng, et al.. (2025). Graph Prompt Clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(7). 5794–5805.
2.
Chen, Man-Sheng, Jiaqi Lin, Chang‐Dong Wang, Dong Huang, & Jianhuang Lai. (2025). Contrastive Ensemble Clustering. IEEE Transactions on Neural Networks and Learning Systems. 36(8). 14678–14690.
3.
Wang, Chang‐Dong, et al.. (2025). Triplets-based large-scale multi-view spectral clustering. Information Fusion. 121. 103134–103134. 1 indexed citations
4.
Chen, Man-Sheng, et al.. (2025). Knowledge-Aware Synergistic Discovery of Drug Combinations: A Large Language Model Perspective. PubMed. 22(5). 2267–2279.
5.
Yang, Tao, et al.. (2025). Smoothness-Induced Efficient Incomplete Multi-View Clustering. IEEE Transactions on Knowledge and Data Engineering. 37(10). 6173–6188.
6.
Dai, Qingyun, et al.. (2024). MIGP: Metapath Integrated Graph Prompt Neural Network. Neural Networks. 179. 106595–106595. 2 indexed citations
7.
Lin, Jiaqi, et al.. (2024). Dual Information Enhanced Multiview Attributed Graph Clustering. IEEE Transactions on Neural Networks and Learning Systems. 36(4). 6466–6477. 11 indexed citations
8.
Chen, Man-Sheng, et al.. (2024). Contrastive Multiview Attribute Graph Clustering With Adaptive Encoders. IEEE Transactions on Neural Networks and Learning Systems. 36(4). 7184–7195. 7 indexed citations
9.
Chen, Man-Sheng, Zhiyuan Li, Jiaqi Lin, Chang‐Dong Wang, & Dong Huang. (2024). Sparse Graph Tensor Learning for Multi-View Spectral Clustering. IEEE Transactions on Emerging Topics in Computational Intelligence. 8(5). 3534–3543. 2 indexed citations
10.
Chen, Man-Sheng, Chang‐Dong Wang, Dong Huang, Jianhuang Lai, & Philip S. Yu. (2024). Concept Factorization Based Multiview Clustering for Large-Scale Data. IEEE Transactions on Knowledge and Data Engineering. 36(11). 5784–5796. 8 indexed citations
11.
Chen, Man-Sheng, et al.. (2024). Dynamic Secure Multi Broad Network for Privacy Preserving of Streaming Data. IEEE Transactions on Emerging Topics in Computational Intelligence. 8(4). 3152–3165.
12.
Li, Zhiyuan, Man-Sheng Chen, Yuefang Gao, & Chang‐Dong Wang. (2023). Signal Contrastive Enhanced Graph Collaborative Filtering for Recommendation. Data Science and Engineering. 8(3). 318–328. 7 indexed citations
13.
Chen, Man-Sheng, et al.. (2023). On Regularizing Multiple Clusterings for Ensemble Clustering by Graph Tensor Learning. 3069–3077. 5 indexed citations
14.
Lin, Jiaqi, Xianglong Li, Man-Sheng Chen, Chang‐Dong Wang, & Haizhang Zhang. (2022). Incomplete Data Meets Uncoupled Case: A Challenging Task of Multiview Clustering. IEEE Transactions on Neural Networks and Learning Systems. 35(6). 8097–8110. 17 indexed citations
15.
Chen, Man-Sheng, Jiaqi Lin, Xianglong Li, et al.. (2022). Representation Learning in Multi-view Clustering: A Literature Review. Data Science and Engineering. 7(3). 225–241. 86 indexed citations
16.
Chen, Man-Sheng, Chang‐Dong Wang, & Jianhuang Lai. (2022). Low-Rank Tensor Based Proximity Learning for Multi-View Clustering. IEEE Transactions on Knowledge and Data Engineering. 35(5). 5076–5090. 88 indexed citations
17.
Lin, Jiaqi, Man-Sheng Chen, Chang‐Dong Wang, & Haizhang Zhang. (2022). A Tensor Approach for Uncoupled Multiview Clustering. IEEE Transactions on Cybernetics. 54(2). 1236–1249. 24 indexed citations
18.
Li, Xianglong, Man-Sheng Chen, Chang‐Dong Wang, & Jianhuang Lai. (2022). Refining Graph Structure for Incomplete Multi-View Clustering. IEEE Transactions on Neural Networks and Learning Systems. 35(2). 2300–2313. 52 indexed citations
19.
Wang, Chang‐Dong, Man-Sheng Chen, Ling Huang, Jianhuang Lai, & Philip S. Yu. (2020). Smoothness Regularized Multiview Subspace Clustering With Kernel Learning. IEEE Transactions on Neural Networks and Learning Systems. 32(11). 5047–5060. 43 indexed citations
20.
Chen, Man-Sheng, Ling Huang, Chang‐Dong Wang, Dong Huang, & Philip S. Yu. (2020). Multiview Subspace Clustering With Grouping Effect. IEEE Transactions on Cybernetics. 52(8). 7655–7668. 41 indexed citations

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.

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