Wenyan Wu

666 total citations
9 papers, 92 citations indexed

About

Wenyan Wu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Wenyan Wu has authored 9 papers receiving a total of 92 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Signal Processing and 2 papers in Artificial Intelligence. Recurrent topics in Wenyan Wu's work include Face recognition and analysis (4 papers), Biometric Identification and Security (3 papers) and Face and Expression Recognition (3 papers). Wenyan Wu is often cited by papers focused on Face recognition and analysis (4 papers), Biometric Identification and Security (3 papers) and Face and Expression Recognition (3 papers). Wenyan Wu collaborates with scholars based in China and Hong Kong. Wenyan Wu's co-authors include Shuo Yang, Shuping Zhao, Yici Cai, Siyuan Ma, Jigang Wu, Qiang Zhou, Chong Tang, Feng Guang, Chongqing Wang and Lian Liu and has published in prestigious journals such as Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, IEEE Transactions on Instrumentation and Measurement and Applied Sciences.

In The Last Decade

Wenyan Wu

8 papers receiving 89 citations

Peers

Wenyan Wu
Linsen Song China
Debayan Deb United States
Jatuporn Toy Leksut United States
Xianhui Lin China
Alok Negi India
Wen–Sheng Chu United States
Jutta Hämmerle-Uhl Austria
A. Rodríguez Spain
Zhonghao Li China
Linsen Song China
Wenyan Wu
Citations per year, relative to Wenyan Wu Wenyan Wu (= 1×) peers Linsen Song

Countries citing papers authored by Wenyan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Wenyan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenyan Wu

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

All Works

9 of 9 papers shown
1.
Liu, Xiangju, et al.. (2024). SCECNet: self-correction feature enhancement fusion network for remote sensing scene classification. Earth Science Informatics. 17(5). 4555–4573. 1 indexed citations
2.
Guang, Feng, et al.. (2024). Mask-Wearing Detection in Complex Environments Based on Improved YOLOv7. Applied Sciences. 14(9). 3606–3606. 5 indexed citations
3.
Chen, Yanan, Yajing Li, Wenjing Wang, et al.. (2024). A fluorescent NBD “turn-on” probe for the rapid and on-site analysis of fructose in food. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 320. 124612–124612. 1 indexed citations
4.
Ma, Siyuan, et al.. (2023). Multiscale Multidirection Binary Pattern Learning for Discriminant Palmprint Identification. IEEE Transactions on Instrumentation and Measurement. 72. 1–12. 8 indexed citations
5.
6.
Wu, Wenyan, Yici Cai, & Qiang Zhou. (2022). TransMarker: A Pure Vision Transformer for Facial Landmark Detection. 2022 26th International Conference on Pattern Recognition (ICPR). 3580–3587. 1 indexed citations
7.
Wu, Wenyan, et al.. (2022). A Novel Method for Cross-Modal Collaborative Analysis and Evaluation in the Intelligence Era. Applied Sciences. 13(1). 163–163. 1 indexed citations
8.
Wu, Wenyan, et al.. (2019). Deep coupling neural network for robust facial landmark detection. Computers & Graphics. 82. 286–294. 6 indexed citations
9.
Wu, Wenyan & Shuo Yang. (2017). Leveraging Intra and Inter-Dataset Variations for Robust Face Alignment. 2096–2105. 69 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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2026