Chengzhou Tang

27 total papers · 597 total citations
14 papers, 260 citations indexed

About

Chengzhou Tang is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computational Mechanics. According to data from OpenAlex, Chengzhou Tang has authored 14 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 7 papers in Aerospace Engineering and 2 papers in Computational Mechanics. Recurrent topics in Chengzhou Tang's work include Advanced Vision and Imaging (12 papers), Robotics and Sensor-Based Localization (7 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Chengzhou Tang is often cited by papers focused on Advanced Vision and Imaging (12 papers), Robotics and Sensor-Based Localization (7 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Chengzhou Tang collaborates with scholars based in Canada, China and United States. Chengzhou Tang's co-authors include Ping Tan, Siyu Zhu, Luwei Yang, Yasutaka Furukawa, Honghua Li, Oliver Wang, Zhaopeng Cui, Nianjuan Jiang, Rui Huang and Weihao Yuan and has published in prestigious journals such as ACM Transactions on Graphics, IEEE Robotics and Automation Letters and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Chengzhou Tang

14 papers receiving 251 citations

Author Peers

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

Author Last Decade Papers Cites
Chengzhou Tang 234 157 46 31 20 14 260
Bernard Lacolle 263 1.1× 221 1.4× 43 0.9× 19 0.6× 27 1.4× 10 313
Zike Yan 195 0.8× 159 1.0× 54 1.2× 18 0.6× 10 0.5× 16 233
Enliang Zheng 232 1.0× 94 0.6× 60 1.3× 26 0.8× 31 1.6× 11 264
Klas Josephson 248 1.1× 168 1.1× 23 0.5× 34 1.1× 43 2.1× 9 296
Scott Satkin 275 1.2× 111 0.7× 43 0.9× 16 0.5× 22 1.1× 11 321
Xingrui Yang 232 1.0× 172 1.1× 18 0.4× 42 1.4× 21 1.1× 11 272
Martin Byröd 222 0.9× 136 0.9× 14 0.3× 37 1.2× 39 1.9× 11 259
Anna Vorontsova 150 0.6× 95 0.6× 42 0.9× 10 0.3× 29 1.4× 8 204
Bingbing Zhuang 208 0.9× 80 0.5× 17 0.4× 38 1.2× 7 0.3× 14 241
Armin Mustafa 214 0.9× 62 0.4× 23 0.5× 14 0.5× 40 2.0× 19 272

Countries citing papers authored by Chengzhou Tang

Since Specialization
Citations

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

Fields of papers citing papers by Chengzhou Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengzhou Tang

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