Weida Zhou

1.1k total citations
41 papers, 814 citations indexed

About

Weida Zhou is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Weida Zhou has authored 41 papers receiving a total of 814 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 15 papers in Control and Systems Engineering. Recurrent topics in Weida Zhou's work include Face and Expression Recognition (22 papers), Advanced Algorithms and Applications (12 papers) and Sparse and Compressive Sensing Techniques (10 papers). Weida Zhou is often cited by papers focused on Face and Expression Recognition (22 papers), Advanced Algorithms and Applications (12 papers) and Sparse and Compressive Sensing Techniques (10 papers). Weida Zhou collaborates with scholars based in China and Taiwan. Weida Zhou's co-authors include Li Zhang, Fanzhang Li, Li Zhang, Licheng Jiao, Pei‐Chann Chang, Ting Wang, Jing Liu, Zhe Yan, Li Zhang and Li Zhang and has published in prestigious journals such as IEEE Transactions on Signal Processing, Pattern Recognition and Information Sciences.

In The Last Decade

Weida Zhou

39 papers receiving 800 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Weida Zhou China	14	412	341	170	128	98	41	814
SugiyamaMasashi	5	445 1.1×	289 0.8×	79 0.5×	74 0.6×	233 2.4×	8	856
Yi-Ren Yeh Taiwan	15	549 1.3×	642 1.9×	93 0.5×	57 0.4×	104 1.1×	39	1.1k
Bin Gu China	8	330 0.8×	414 1.2×	56 0.3×	115 0.9×	70 0.7×	10	1000
Pak-Ming Cheung Hong Kong	5	456 1.1×	527 1.5×	47 0.3×	90 0.7×	48 0.5×	5	819
Zizhu Fan China	17	787 1.9×	282 0.8×	216 1.3×	58 0.5×	199 2.0×	44	1.1k
Xinge You China	21	907 2.2×	355 1.0×	110 0.6×	50 0.4×	254 2.6×	52	1.3k
Terry Windeatt United Kingdom	19	445 1.1×	448 1.3×	107 0.6×	42 0.3×	46 0.5×	56	934

Countries citing papers authored by Weida Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Weida Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weida Zhou

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

All Works

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20 of 20 papers shown

Zhou, Weida, et al.. (2024). Numerical Simulation Analysis of Seismic Performance for Framework Structure Based on Rayleigh Damping Algorithm. Highlights in Science Engineering and Technology. 86. 1–8. 1 indexed citations

Zhou, Weida, et al.. (2021). A two-stage virtual machine abnormal behavior-based anomaly detection mechanism. Cluster Computing. 25(1). 203–214. 3 indexed citations

Zhang, Li, et al.. (2021). Fast Gaussian kernel support vector machine recursive feature elimination algorithm. Applied Intelligence. 51(12). 9001–9014. 15 indexed citations

Zhang, Li, Xiaojuan Huang, & Weida Zhou. (2019). Logistic local hyperplane-Relief: A feature weighting method for classification. Knowledge-Based Systems. 181. 104741–104741. 10 indexed citations

Zhang, Li, Liqiang Qian, Chuntao Ding, Weida Zhou, & Fanzhang Li. (2015). Similarity-balanced discriminant neighbor embedding and its application to cancer classification based on gene expression data. Computers in Biology and Medicine. 64. 236–245. 13 indexed citations

Zhang, Li, et al.. (2015). A fast approximation algorithm for 1-norm SVM with squared loss. 3. 1–8. 2 indexed citations

Zhang, Li & Weida Zhou. (2014). Time series prediction using sparse regression ensemble based on $$\ell _2$$ ℓ 2 – $$\ell _1$$ ℓ 1 problem. Soft Computing. 19(3). 781–792. 1 indexed citations

Zhang, Li & Weida Zhou. (2013). 1-norm support vector novelty detection and its sparseness. Neural Networks. 48. 125–132. 2 indexed citations

Zhang, Li & Weida Zhou. (2013). Analysis of programming properties and the row–column generation method for 1-norm support vector machines. Neural Networks. 48. 32–43. 5 indexed citations

10.

Zhang, Li, Weida Zhou, Guirong Chen, Yaping Lu, & Fanzhang Li. (2013). Sparse signal reconstruction using decomposition algorithm. Knowledge-Based Systems. 54. 172–179. 4 indexed citations

11.

Zhang, Li, Weida Zhou, Pei‐Chann Chang, et al.. (2011). Kernel Sparse Representation-Based Classifier. IEEE Transactions on Signal Processing. 60(4). 1684–1695. 253 indexed citations

12.

Zhang, Li & Weida Zhou. (2010). Sparse ensembles using weighted combination methods based on linear programming. Pattern Recognition. 44(1). 97–106. 88 indexed citations

13.

Zhou, Weida, et al.. (2010). Fruit shape classification using Zernike moments. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7820. 782015–782015. 2 indexed citations

14.

Zhang, Li & Weida Zhou. (2009). On the sparseness of 1-norm support vector machines. Neural Networks. 23(3). 373–385. 45 indexed citations

15.

Zhang, Li, Yugeng Xi, & Weida Zhou. (2009). IDENTIFICATION AND CONTROL OF DISCRETE-TIME NONLINEAR SYSTEMS USING AFFINE SUPPORT VECTOR MACHINES. International Journal of Artificial Intelligence Tools. 18(6). 929–947. 6 indexed citations

16.

Zhou, Weida, et al.. (2009). A new constrained spectral clustering for SAR image segmentation. 680–683. 6 indexed citations

17.

Zhang, Li, et al.. (2009). Pre-extracting boundary vectors for support vector machine using pseudo-density estimation method. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7496. 74960J–74960J. 2 indexed citations

18.

Zhang, Li, Ning Ye, Weida Zhou, & Licheng Jiao. (2008). Support vectors pre-extracting for support vector machine based on K nearest neighbour method. 1353–1358. 13 indexed citations

19.

Zhou, Weida. (2007). Wavelet Based Real-time Smoke Detection. Jisuanji yingyong yanjiu. 3 indexed citations

20.

Jiao, Licheng, et al.. (2006). Channel Estimation Based on Clonal Selection Algorithm in MIMO System. 406–409. 1 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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