Wenyong Yu

715 total citations
35 papers, 478 citations indexed

About

Wenyong Yu is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Artificial Intelligence. According to data from OpenAlex, Wenyong Yu has authored 35 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 15 papers in Industrial and Manufacturing Engineering and 7 papers in Artificial Intelligence. Recurrent topics in Wenyong Yu's work include Industrial Vision Systems and Defect Detection (15 papers), Anomaly Detection Techniques and Applications (7 papers) and Optical measurement and interference techniques (6 papers). Wenyong Yu is often cited by papers focused on Industrial Vision Systems and Defect Detection (15 papers), Anomaly Detection Techniques and Applications (7 papers) and Optical measurement and interference techniques (6 papers). Wenyong Yu collaborates with scholars based in China and Croatia. Wenyong Yu's co-authors include Haiming Yao, Wei Luo, Zude Zhou, Youping Chen, Guodong Sun, Wenlong Li, Kunming Zheng, Youmin Hu, Xue Wang and Donghao Luo and has published in prestigious journals such as Analytical Chemistry, The Science of The Total Environment and Sensors.

In The Last Decade

Wenyong Yu

31 papers receiving 459 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wenyong Yu China 14 174 156 137 78 74 35 478
Qian Sun China 14 66 0.4× 149 1.0× 136 1.0× 54 0.7× 63 0.9× 70 755
Vladimir Filaretov Russia 13 75 0.4× 199 1.3× 72 0.5× 110 1.4× 412 5.6× 160 788
Yuchao Wang China 9 34 0.2× 148 0.9× 43 0.3× 93 1.2× 108 1.5× 53 530
Shun Liu China 12 29 0.2× 50 0.3× 49 0.4× 93 1.2× 48 0.6× 51 490
Hongguang Lyu China 13 90 0.5× 252 1.6× 37 0.3× 57 0.7× 70 0.9× 27 740
Zhi Zhang China 14 36 0.2× 133 0.9× 34 0.2× 47 0.6× 137 1.9× 48 543
Roberto Medina Spain 9 105 0.6× 130 0.8× 37 0.3× 109 1.4× 10 0.1× 15 652
Qing Zhu China 8 154 0.9× 171 1.1× 24 0.2× 37 0.5× 19 0.3× 31 333

Countries citing papers authored by Wenyong Yu

Since Specialization
Citations

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

Fields of papers citing papers by Wenyong Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenyong Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Wenyong Yu. A scholar is included among the top collaborators of Wenyong 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 Wenyong Yu. Wenyong 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.
Yao, Haiming, et al.. (2025). Global-Regularized Neighborhood Regression for Efficient Zero-Shot Texture Anomaly Detection. IEEE Transactions on Systems Man and Cybernetics Systems. 55(10). 7510–7525.
2.
Luo, Wei, Yunkang Cao, Haiming Yao, et al.. (2025). Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection. 9974–9983. 3 indexed citations
3.
Huang, Wentao, Yangfeng Wang, Jie Xia, et al.. (2024). Non-destructive classification of sturgeon stress using cross-modal data fusion and multi-input deep learning models. Computers and Electronics in Agriculture. 220. 108903–108903. 8 indexed citations
4.
Yao, Haiming, Yunkang Cao, Wei Luo, et al.. (2024). Prior Normality Prompt Transformer for Multiclass Industrial Image Anomaly Detection. IEEE Transactions on Industrial Informatics. 20(10). 11866–11876. 12 indexed citations
5.
Luo, Wei, Haiming Yao, & Wenyong Yu. (2024). Template-based Feature Aggregation Network for industrial anomaly detection. Engineering Applications of Artificial Intelligence. 131. 107810–107810. 8 indexed citations
6.
Luo, Wei, et al.. (2024). AMI-Net: Adaptive Mask Inpainting Network for Industrial Anomaly Detection and Localization. IEEE Transactions on Automation Science and Engineering. 22. 1591–1605. 15 indexed citations
7.
Yao, Haiming, et al.. (2024). Few-shot unseen defect segmentation for polycrystalline silicon panels with an interpretable dual subspace attention variational learning framework. Advanced Engineering Informatics. 62. 102613–102613. 9 indexed citations
8.
Yu, Wenyong, et al.. (2023). A-Net: An A-Shape Lightweight Neural Network for Real-Time Surface Defect Segmentation. IEEE Transactions on Instrumentation and Measurement. 73. 1–14. 16 indexed citations
9.
Luo, Wei, Haiming Yao, & Wenyong Yu. (2023). Normal Reference Attention and Defective Feature Perception Network for Surface Defect Detection. IEEE Transactions on Instrumentation and Measurement. 72. 1–14. 20 indexed citations
10.
Yao, Haiming, et al.. (2023). Learning Global-Local Correspondence With Semantic Bottleneck for Logical Anomaly Detection. IEEE Transactions on Circuits and Systems for Video Technology. 34(5). 3589–3605. 25 indexed citations
11.
Yao, Haiming, et al.. (2023). Dual-Attention Transformer and Discriminative Flow for Industrial Visual Anomaly Detection. IEEE Transactions on Automation Science and Engineering. 21(4). 6126–6140. 29 indexed citations
12.
Yao, Haiming, et al.. (2023). Scalable Industrial Visual Anomaly Detection With Partial Semantics Aggregation Vision Transformer. IEEE Transactions on Instrumentation and Measurement. 73. 1–17. 12 indexed citations
13.
Luo, Wei, et al.. (2023). Unsupervised Defect Segmentation via Forgetting-Inputting-Based Feature Fusion and Multiple Hierarchical Feature Difference. IEEE Sensors Journal. 23(13). 14448–14459. 6 indexed citations
14.
Lai, Rui, et al.. (2022). Visual inspection of surface defects of extreme size based on an advanced FCOS. Applied Artificial Intelligence. 36(1). 2 indexed citations
15.
Shi, Hui, Gangyan Li, & Wenyong Yu. (2020). Online optical inspection of air permeability of packaging materials during laser perforation. Journal of Laser Applications. 32(2). 1 indexed citations
16.
Yu, Wenyong, et al.. (2008). Study on technology of glass image real-time sampling and synchronization. Computer Engineering and Applications Journal. 44(12). 91–94. 1 indexed citations
17.
Yu, Wenyong. (2008). Research on the Way of On-line Quality Inspection of Commerce Note Printing. Journal of Wuhan University of Technology-Mater Sci Ed. 1 indexed citations
18.
Chen, Youping, et al.. (2007). Processing Algorithm of High Speed Printing Image. Jisuanji yingyong yanjiu. 24(5). 300–302. 1 indexed citations
19.
Chen, Youping, et al.. (2007). An online defects inspection method for float glass fabrication based on machine vision. The International Journal of Advanced Manufacturing Technology. 39(11-12). 1180–1189. 82 indexed citations
20.
Chen, Youping, et al.. (2006). Online auto-detection method and system of presswork quality. The International Journal of Advanced Manufacturing Technology. 33(7-8). 756–765. 15 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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