Xuezhi Wen

46 total papers · 1.1k total citations
24 papers, 835 citations indexed

About

Xuezhi Wen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Xuezhi Wen has authored 24 papers receiving a total of 835 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 6 papers in Computer Networks and Communications. Recurrent topics in Xuezhi Wen's work include Video Surveillance and Tracking Methods (10 papers), Face and Expression Recognition (6 papers) and Anomaly Detection Techniques and Applications (5 papers). Xuezhi Wen is often cited by papers focused on Video Surveillance and Tracking Methods (10 papers), Face and Expression Recognition (6 papers) and Anomaly Detection Techniques and Applications (5 papers). Xuezhi Wen collaborates with scholars based in China, United States and United Kingdom. Xuezhi Wen's co-authors include Wei Fang, Ling Shao, Yu Xue, Xue Yu, Huai Yuan, Wei Liu, Xu Jiang, Hong Zhao, Wei Liu and Yuhui Zheng and has published in prestigious journals such as Information Sciences, IEEE Transactions on Circuits and Systems for Video Technology and The Scientific World JOURNAL.

In The Last Decade

Xuezhi Wen

24 papers receiving 795 citations

Hit Papers

A rapid learning algorith... 2014 2026 2018 2022 2014 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Xuezhi Wen 415 238 135 121 107 24 835
Huarong Xu 339 0.8× 301 1.3× 49 0.4× 147 1.2× 39 0.4× 27 769
Joseph Weber 646 1.6× 191 0.8× 187 1.4× 62 0.5× 49 0.5× 18 862
Feihu Zhang 400 1.0× 269 1.1× 103 0.8× 65 0.5× 33 0.3× 18 824
David C. Anastasiu 467 1.1× 193 0.8× 162 1.2× 53 0.4× 49 0.5× 43 822
Yilin Chen 247 0.6× 221 0.9× 64 0.5× 35 0.3× 99 0.9× 38 936
Ulrich Kreßel 533 1.3× 392 1.6× 93 0.7× 72 0.6× 35 0.3× 22 962
Abdussalam Elhanashi 386 0.9× 290 1.2× 37 0.3× 56 0.5× 122 1.1× 34 1.0k
Shih‐Chia Huang 719 1.7× 127 0.5× 33 0.2× 132 1.1× 61 0.6× 37 943
Shuming Tang 203 0.5× 132 0.6× 136 1.0× 55 0.5× 80 0.7× 50 839
Mohammed Yakoob Siyal 656 1.6× 127 0.5× 101 0.7× 79 0.7× 30 0.3× 76 969

Countries citing papers authored by Xuezhi Wen

Since Specialization
Citations

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

Fields of papers citing papers by Xuezhi Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuezhi Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Xuezhi Wen. A scholar is included among the top collaborators of Xuezhi Wen 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 Xuezhi Wen. Xuezhi Wen 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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