Weizhong Yu

972 total citations
38 papers, 706 citations indexed

About

Weizhong Yu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Weizhong Yu has authored 38 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 22 papers in Artificial Intelligence and 11 papers in Media Technology. Recurrent topics in Weizhong Yu's work include Face and Expression Recognition (24 papers), Remote-Sensing Image Classification (11 papers) and Advanced Clustering Algorithms Research (11 papers). Weizhong Yu is often cited by papers focused on Face and Expression Recognition (24 papers), Remote-Sensing Image Classification (11 papers) and Advanced Clustering Algorithms Research (11 papers). Weizhong Yu collaborates with scholars based in China, Japan and United States. Weizhong Yu's co-authors include Feiping Nie, Rong Wang, Fei Wang, Xiaojun Yang, Xiaojun Chang, Richang Hong, Xuelong Li, Zhongheng Li, Ben Yang and Xuetao Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Weizhong Yu

34 papers receiving 689 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weizhong Yu China 12 409 321 185 71 59 38 706
Guoqing Chao China 15 611 1.5× 567 1.8× 118 0.6× 77 1.1× 18 0.3× 35 975
Jingyuan Xia China 13 562 1.4× 449 1.4× 162 0.9× 72 1.0× 14 0.2× 44 931
Mulin Chen China 16 782 1.9× 481 1.5× 309 1.7× 55 0.8× 73 1.2× 41 1.1k
Shanmin Pang China 17 475 1.2× 245 0.8× 112 0.6× 39 0.5× 15 0.3× 60 731
Weiling Cai China 12 780 1.9× 336 1.0× 400 2.2× 18 0.3× 57 1.0× 24 1.1k
Li Guo China 11 261 0.6× 254 0.8× 96 0.5× 18 0.3× 22 0.4× 66 524
Yuheng Jia China 21 749 1.8× 533 1.7× 204 1.1× 94 1.3× 38 0.6× 72 1.2k

Countries citing papers authored by Weizhong Yu

Since Specialization
Citations

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

Fields of papers citing papers by Weizhong Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weizhong Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Weizhong Yu. A scholar is included among the top collaborators of Weizhong Yu 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 Weizhong Yu. Weizhong Yu 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.
Nie, Feiping, et al.. (2025). Fast Anchor Graph Clustering via Maximizing Within-Cluster Similarity. IEEE Transactions on Knowledge and Data Engineering. 37(8). 4591–4603.
2.
Nie, Feiping, et al.. (2025). Fast Co-clustering via Anchor-guided Label Spreading. Neural Networks. 185. 107187–107187. 1 indexed citations
3.
Nie, Feiping, et al.. (2025). Self-Labeling and Self-Knowledge Distillation Unsupervised Feature Selection. IEEE Transactions on Knowledge and Data Engineering. 37(7). 4270–4284.
4.
Nie, Feiping, et al.. (2025). Unconstrained Fuzzy C-Means Algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(5). 3440–3451. 3 indexed citations
5.
Nie, Feiping, et al.. (2025). Efficient Co-clustering via Anchor-refined Label Spreading. 1–5.
6.
Nie, Feiping, et al.. (2024). Robust autoencoder feature selector for unsupervised feature selection. Information Sciences. 660. 120121–120121. 6 indexed citations
7.
Chen, Wenzhi, et al.. (2024). Spectral clustering with linear embedding: A discrete clustering method for large-scale data. Pattern Recognition. 151. 110396–110396. 9 indexed citations
8.
Nie, Feiping, et al.. (2024). Parameter-Insensitive Min Cut Clustering With Flexible Size Constrains. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(8). 5479–5492. 6 indexed citations
9.
Yu, Weizhong, et al.. (2024). Fast semi-supervised classification based on anchor graph. Information Sciences. 699. 121786–121786.
10.
Nie, Feiping, et al.. (2024). Parameter-free ensemble clustering with dynamic weighting mechanism. Pattern Recognition. 151. 110389–110389. 4 indexed citations
11.
Nie, Feiping, et al.. (2024). Row-Sparse Principal Component Analysis via Coordinate Descent Method. IEEE Transactions on Knowledge and Data Engineering. 36(7). 3460–3471. 4 indexed citations
12.
Zhao, Xiaowei, et al.. (2024). Nonlinear Locality-Preserving Projections With Dynamic Graph Learning. IEEE Transactions on Neural Networks and Learning Systems. 36(4). 7225–7236. 3 indexed citations
13.
Nie, Feiping, et al.. (2023). Fast Clustering With Anchor Guidance. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(4). 1898–1912. 26 indexed citations
14.
Nie, Feiping, et al.. (2023). Discriminative and Robust Autoencoders for Unsupervised Feature Selection. IEEE Transactions on Neural Networks and Learning Systems. 36(1). 1622–1636. 10 indexed citations
15.
Yu, Weizhong, et al.. (2023). An efficient semi-supervised balanced cut with hard pairwise constraints and partial labels. Knowledge-Based Systems. 276. 110747–110747. 2 indexed citations
16.
Chen, Wenzhi, et al.. (2022). Subspace clustering by directly solving Discriminative K-means. Knowledge-Based Systems. 252. 109452–109452. 5 indexed citations
17.
Yu, Weizhong, et al.. (2021). Unsupervised Subspace Learning With Flexible Neighboring. IEEE Transactions on Neural Networks and Learning Systems. 34(4). 2043–2056. 4 indexed citations
18.
Li, Zhongheng, Fang He, Haojie Hu, Fei Wang, & Weizhong Yu. (2021). Random Collective Representation-Based Detector with Multiple Features for Hyperspectral Images. Remote Sensing. 13(4). 721–721. 4 indexed citations
19.
Wang, Fei, Zhongheng Li, Fang He, et al.. (2019). Feature Learning Viewpoint of Adaboost and a New Algorithm. IEEE Access. 7. 149890–149899. 56 indexed citations
20.
Yu, Weizhong, Feiping Nie, Fei Wang, Rong Wang, & Xuelong Li. (2018). Fast and Flexible Large Graph Embedding Based on Anchors. IEEE Journal of Selected Topics in Signal Processing. 12(6). 1465–1475. 7 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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