Shuzhe Wu

25 total papers · 623 total citations
18 papers, 368 citations indexed

About

Shuzhe Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Shuzhe Wu has authored 18 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 3 papers in Signal Processing. Recurrent topics in Shuzhe Wu's work include Face recognition and analysis (7 papers), Face and Expression Recognition (4 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Shuzhe Wu is often cited by papers focused on Face recognition and analysis (7 papers), Face and Expression Recognition (4 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Shuzhe Wu collaborates with scholars based in China and United States. Shuzhe Wu's co-authors include Shiguang Shan, Meina Kan, Xilin Chen, Zhenliang He, Hu Han, Jie Zhang, Wenxian Liu, Shaoxin Li, Xin Liu and Xin Jin and has published in prestigious journals such as Frontiers in Microbiology, International Journal of Computer Vision and Neurocomputing.

In The Last Decade

Shuzhe Wu

16 papers receiving 352 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shuzhe Wu 300 82 64 20 18 18 368
Chi Fang 333 1.1× 132 1.6× 33 0.5× 18 0.9× 12 0.7× 39 429
KangGeon Kim 219 0.7× 85 1.0× 40 0.6× 22 1.1× 49 2.7× 25 400
Ming Liu 264 0.9× 151 1.8× 65 1.0× 24 1.2× 31 1.7× 18 409
Xiaohu Shao 280 0.9× 123 1.5× 30 0.5× 8 0.4× 16 0.9× 17 334
Hannah Dee 254 0.8× 48 0.6× 158 2.5× 9 0.5× 23 1.3× 28 390
Samy Bakheet 117 0.4× 34 0.4× 116 1.8× 48 2.4× 38 2.1× 21 337
Kaipeng Zhang 297 1.0× 69 0.8× 81 1.3× 102 5.1× 9 0.5× 25 383
Yangsheng Wang 277 0.9× 55 0.7× 31 0.5× 10 0.5× 9 0.5× 31 351
Jun Li 142 0.5× 38 0.5× 105 1.6× 22 1.1× 12 0.7× 21 370
Muhammad Zeeshan Khan 191 0.6× 51 0.6× 63 1.0× 14 0.7× 28 1.6× 27 367

Countries citing papers authored by Shuzhe Wu

Since Specialization
Citations

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

Fields of papers citing papers by Shuzhe Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuzhe Wu

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

All Works

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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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