Dexian Wang

1.3k total citations
31 papers, 847 citations indexed

About

Dexian Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Dexian Wang has authored 31 papers receiving a total of 847 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 8 papers in Computational Theory and Mathematics. Recurrent topics in Dexian Wang's work include Face and Expression Recognition (13 papers), Rough Sets and Fuzzy Logic (8 papers) and Image Retrieval and Classification Techniques (6 papers). Dexian Wang is often cited by papers focused on Face and Expression Recognition (13 papers), Rough Sets and Fuzzy Logic (8 papers) and Image Retrieval and Classification Techniques (6 papers). Dexian Wang collaborates with scholars based in China, Taiwan and United States. Dexian Wang's co-authors include Tianrui Li, Pengfei Zhang, Wei Huang, Junbo Zhang, Ping Deng, Huaqiang Yuan, Xin Luo, MengChu Zhou, Fan Zhang and Hongmei Chen and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Dexian Wang

26 papers receiving 829 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dexian Wang China 14 472 285 171 151 78 31 847
Ye Yuan China 16 429 0.9× 290 1.0× 115 0.7× 247 1.6× 39 0.5× 52 1.0k
Yu Zeng China 16 348 0.7× 147 0.5× 308 1.8× 205 1.4× 80 1.0× 54 948
Hong-Jie Xing China 13 391 0.8× 169 0.6× 79 0.5× 56 0.4× 62 0.8× 42 640
Mohd Shareduwan Mohd Kasihmuddin Malaysia 21 730 1.5× 219 0.8× 124 0.7× 150 1.0× 38 0.5× 103 1.1k
Xiaodong Fan China 13 286 0.6× 228 0.8× 471 2.8× 258 1.7× 81 1.0× 40 866
Mohd. Asyraf Mansor Malaysia 21 785 1.7× 230 0.8× 130 0.8× 153 1.0× 36 0.5× 89 1.1k
Saratha Sathasivam Malaysia 17 688 1.5× 132 0.5× 131 0.8× 80 0.5× 38 0.5× 130 976
Mehreen Saeed Pakistan 9 705 1.5× 166 0.6× 257 1.5× 86 0.6× 49 0.6× 26 1.1k
Akira Notsu Japan 11 374 0.8× 217 0.8× 67 0.4× 120 0.8× 43 0.6× 150 637

Countries citing papers authored by Dexian Wang

Since Specialization
Citations

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

Fields of papers citing papers by Dexian Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dexian Wang. 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 Dexian Wang. The network helps show where Dexian Wang may publish in the future.

Co-authorship network of co-authors of Dexian Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Dexian Wang. A scholar is included among the top collaborators of Dexian Wang 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 Dexian Wang. Dexian Wang 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.
Zhang, Pengfei, et al.. (2025). Central-peripheral nervous system activation in exoskeleton modes: A Granger causality analysis via EEG-EMG fusion. Expert Systems with Applications. 268. 126311–126311. 2 indexed citations
2.
Deng, Ping, Xinying Zhou, Ji Xu, et al.. (2025). Symmetric non-negative matrix factorization-based deep representation algorithm for multi-view clustering. Engineering Applications of Artificial Intelligence. 162. 112738–112738.
3.
Zhang, Pengfei, et al.. (2025). Information fusion and feature selection for multi-source data utilizing Dempster-Shafer evidence theory and K-nearest neighbors. Information Sciences. 718. 122408–122408. 2 indexed citations
4.
Wang, Dexian, et al.. (2025). NDRIDC: NMF-based deep representation algorithm for incomplete data clustering. Knowledge-Based Systems. 324. 113771–113771.
5.
Zhang, Pengfei, Dexian Wang, Tao Jiang, et al.. (2025). ODMGIS: An Outlier Detection Method Based on Multigranularity Information Sets. IEEE Transactions on Fuzzy Systems. 33(7). 2050–2061. 1 indexed citations
6.
Zhang, Pengfei, et al.. (2025). I2QD: Unsupervised feature selection via information quality, quantity, and difference degree. Information Processing & Management. 62(5). 104173–104173.
7.
Ding, P. F., et al.. (2024). A stacked graph neural network with self-exciting process for robotic cognitive strategy reasoning in proactive human-robot collaborative assembly. Advanced Engineering Informatics. 63. 102957–102957. 6 indexed citations
8.
Huang, Wei, et al.. (2024). Multimodal federated learning: Concept, methods, applications and future directions. Information Fusion. 112. 102576–102576. 27 indexed citations
9.
Wang, Dexian, Tianrui Li, Ping Deng, et al.. (2024). DNSRF: Deep Network-based Semi-NMF Representation Framework. ACM Transactions on Intelligent Systems and Technology. 15(5). 1–20. 9 indexed citations
10.
Wang, Dexian, Pengfei Zhang, Ping Deng, et al.. (2024). An autoencoder-like deep NMF representation learning algorithm for clustering. Knowledge-Based Systems. 305. 112597–112597. 9 indexed citations
11.
Wang, Guoqiang, et al.. (2023). Fast attribute reduction via inconsistent equivalence classes for large-scale data. International Journal of Approximate Reasoning. 163. 109039–109039. 2 indexed citations
12.
Wang, Dexian, Tianrui Li, Ping Deng, et al.. (2023). A Generalized Deep Learning Clustering Algorithm Based on Non-Negative Matrix Factorization. ACM Transactions on Knowledge Discovery from Data. 17(7). 1–20. 33 indexed citations
13.
Deng, Ping, et al.. (2023). Multi-view clustering guided by unconstrained non-negative matrix factorization. Knowledge-Based Systems. 266. 110425–110425. 27 indexed citations
14.
Wang, Dexian, Yixuan Wu, Junmei Zhang, et al.. (2023). mmu-miRNA-342-3p promotes hepatic stellate cell activation and hepatic fibrosis induced by Echinococcus multilocularis infection via targeting Zbtb7a. PLoS neglected tropical diseases. 17(7). e0011520–e0011520. 1 indexed citations
15.
Zhang, Pengfei, et al.. (2023). A Possibilistic Information Fusion-Based Unsupervised Feature Selection Method Using Information Quality Measures. IEEE Transactions on Fuzzy Systems. 31(9). 2975–2988. 42 indexed citations
16.
Zhang, Pengfei, et al.. (2023). A multi-source information fusion model for outlier detection. Information Fusion. 93. 192–208. 42 indexed citations
17.
Tang, Meng, et al.. (2023). Changes in the skin microbiome during male maturation from 0 to 25 years of age. Skin Research and Technology. 29(9). e13432–e13432. 7 indexed citations
18.
Wang, Dexian, Tianrui Li, Wei Huang, et al.. (2023). A multi-view clustering algorithm based on deep semi-NMF. Information Fusion. 99. 101884–101884. 46 indexed citations
19.
Huang, Wei, Jia Liu, Tianrui Li, et al.. (2022). FedCKE: Cross-Domain Knowledge Graph Embedding in Federated Learning. IEEE Transactions on Big Data. 9(3). 792–804. 17 indexed citations
20.
Deng, Ping, Tianrui Li, Hongjun Wang, et al.. (2022). Graph Regularized Sparse Non-Negative Matrix Factorization for Clustering. IEEE Transactions on Computational Social Systems. 10(3). 910–921. 36 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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