Jian-Ping Mei

2.1k total citations
39 papers, 1.4k citations indexed

About

Jian-Ping Mei is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Jian-Ping Mei has authored 39 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 6 papers in Information Systems. Recurrent topics in Jian-Ping Mei's work include Advanced Clustering Algorithms Research (13 papers), Face and Expression Recognition (10 papers) and Text and Document Classification Technologies (9 papers). Jian-Ping Mei is often cited by papers focused on Advanced Clustering Algorithms Research (13 papers), Face and Expression Recognition (10 papers) and Text and Document Classification Technologies (9 papers). Jian-Ping Mei collaborates with scholars based in China, Singapore and Australia. Jian-Ping Mei's co-authors include Lihui Chen, Chee-Keong Kwoh, Peng Yang, Xiaoli Li, Defang Chen, Chun Chen, Feng Yan, Jie Zheng, Can Wang and Can Wang and has published in prestigious journals such as Bioinformatics, Expert Systems with Applications and Pattern Recognition.

In The Last Decade

Jian-Ping Mei

35 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jian-Ping Mei China 15 740 460 375 305 81 39 1.4k
Razieh Sheikhpour Iran 16 570 0.8× 421 0.9× 179 0.5× 118 0.4× 108 1.3× 46 1.2k
Sen Yang China 15 770 1.0× 381 0.8× 359 1.0× 327 1.1× 129 1.6× 60 1.5k
Hisashi Kashima Japan 12 563 0.8× 234 0.5× 171 0.5× 113 0.4× 108 1.3× 28 1.0k
Anton Schwaighofer Germany 18 577 0.8× 246 0.5× 136 0.4× 255 0.8× 229 2.8× 36 1.3k
Tengfei Ma China 21 857 1.2× 180 0.4× 538 1.4× 472 1.5× 144 1.8× 96 1.7k
Jun Huan United States 16 277 0.4× 127 0.3× 165 0.4× 166 0.5× 54 0.7× 53 694
Kaspar Riesen Switzerland 19 747 1.0× 945 2.1× 103 0.3× 138 0.5× 132 1.6× 57 1.3k
Shikun Feng China 13 670 0.9× 392 0.9× 96 0.3× 52 0.2× 118 1.5× 37 1.2k
Xuncai Zhang China 22 364 0.5× 634 1.4× 348 0.9× 301 1.0× 30 0.4× 99 1.3k
Mohammad Hossein Moattar Iran 17 536 0.7× 507 1.1× 244 0.7× 162 0.5× 139 1.7× 70 1.2k

Countries citing papers authored by Jian-Ping Mei

Since Specialization
Citations

This map shows the geographic impact of Jian-Ping Mei'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 Jian-Ping Mei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jian-Ping Mei more than expected).

Fields of papers citing papers by Jian-Ping Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jian-Ping Mei. 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 Jian-Ping Mei. The network helps show where Jian-Ping Mei may publish in the future.

Co-authorship network of co-authors of Jian-Ping Mei

This figure shows the co-authorship network connecting the top 25 collaborators of Jian-Ping Mei. A scholar is included among the top collaborators of Jian-Ping Mei 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 Jian-Ping Mei. Jian-Ping Mei 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.
Zhu, Tiantian, et al.. (2025). MIRDETECTOR: Applying malicious intent representation for enhanced APT anomaly detection. Computers & Security. 157. 104588–104588.
2.
Jin, Jian, Tiantian Zhu, Tieming Chen, et al.. (2025). PDCleaner: A multi-view collaborative data compression method for provenance graph-based APT detection systems. Computers & Security. 152. 104359–104359. 1 indexed citations
3.
Li, Xiangli, et al.. (2025). Semi-supervised structured nonnegative matrix factorization for anchor graph embedding. Neurocomputing. 639. 130222–130222. 1 indexed citations
4.
Mei, Jian-Ping, et al.. (2025). Source-free domain adaptation with aligned transfer and self-supervised learning. Applied Intelligence. 55(12).
5.
Mei, Jian-Ping, et al.. (2024). Semi-supervised nonnegative matrix factorization with label propagation and constraint propagation. Engineering Applications of Artificial Intelligence. 133. 108196–108196. 6 indexed citations
6.
Liang, Tao, et al.. (2024). Prediction of 90 Day Readmission in Heart Failure with Preserved Ejection Fraction by Interpretable Machine Learning. ESC Heart Failure. 11(6). 4267–4276. 7 indexed citations
7.
Mei, Jian-Ping, et al.. (2024). Dual semi-supervised hypergraph regular multi-view NMF with anchor graph embedding. Knowledge-Based Systems. 305. 112662–112662.
8.
Mei, Jian-Ping, Shixiang Wang, & Ming Yu. (2024). Self-supervised learning from images: No negative pairs, no cluster-balancing. Pattern Recognition. 159. 111081–111081. 1 indexed citations
9.
Mei, Jian-Ping, et al.. (2023). Output Regularization With Cluster-Based Soft Targets. IEEE Transactions on Neural Networks and Learning Systems. 35(8). 11463–11474. 1 indexed citations
10.
Chen, Defang, Jian-Ping Mei, Hailin Zhang, et al.. (2022). Knowledge Distillation with the Reused Teacher Classifier. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 11923–11932. 111 indexed citations
11.
Mei, Jian-Ping, et al.. (2022). TaskDrop: A competitive baseline for continual learning of sentiment classification. Neural Networks. 155. 551–560. 6 indexed citations
12.
Chen, Defang, Jian-Ping Mei, Yuan Zhang, et al.. (2021). Cross-Layer Distillation with Semantic Calibration. Proceedings of the AAAI Conference on Artificial Intelligence. 35(8). 7028–7036. 176 indexed citations
13.
Mei, Jian-Ping, Han Yu, Zhiqi Shen, & Chunyan Miao. (2017). A social influence based trust model for recommender systems. Intelligent Data Analysis. 21(2). 263–277. 12 indexed citations
14.
Wang, Yangtao, Lihui Chen, & Jian-Ping Mei. (2014). Incremental Fuzzy Clustering With Multiple Medoids for Large Data. IEEE Transactions on Fuzzy Systems. 22(6). 1557–1568. 62 indexed citations
15.
Wei, Wei, et al.. (2014). Context-Aware Personal Information Retrieval From Multiple Social Networks. IEEE Computational Intelligence Magazine. 9(2). 18–28. 30 indexed citations
16.
Wang, Yangtao, Lihui Chen, & Jian-Ping Mei. (2014). Stochastic gradient descent based fuzzy clustering for large data. DR-NTU (Nanyang Technological University). 2511–2518. 15 indexed citations
17.
Mei, Jian-Ping & Lihui Chen. (2012). LinkFCM: Relation integrated fuzzy c-means. Pattern Recognition. 46(1). 272–283. 6 indexed citations
18.
Mei, Jian-Ping, Chee-Keong Kwoh, Peng Yang, Xiaoli Li, & Jie Zheng. (2012). Drug–target interaction prediction by learning from local information and neighbors. Bioinformatics. 29(2). 238–245. 298 indexed citations
19.
Mei, Jian-Ping & Lihui Chen. (2011). A Fuzzy Approach for Multitype Relational Data Clustering. IEEE Transactions on Fuzzy Systems. 20(2). 358–371. 38 indexed citations
20.
Mei, Jian-Ping & Lihui Chen. (2009). Fuzzy clustering with weighted medoids for relational data. Pattern Recognition. 43(5). 1964–1974. 64 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Razieh Sheikhpour Breakdown of academic impact, for papers by Sen Yang Breakdown of academic impact, for papers by Hisashi Kashima Breakdown of academic impact, for papers by Anton Schwaighofer Breakdown of academic impact, for papers by Tengfei Ma Breakdown of academic impact, for papers by Jun Huan Breakdown of academic impact, for papers by Kaspar Riesen Breakdown of academic impact, for papers by Shikun Feng Breakdown of academic impact, for papers by Xuncai Zhang Breakdown of academic impact, for papers by Mohammad Hossein Moattar
Rankless by CCL
2026