Chen Shen

40 total papers · 563 total citations
20 papers, 339 citations indexed

About

Chen Shen is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Chen Shen has authored 20 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Control and Systems Engineering, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Artificial Intelligence. Recurrent topics in Chen Shen's work include Digital Media Forensic Detection (3 papers), Human Motion and Animation (3 papers) and Web Data Mining and Analysis (2 papers). Chen Shen is often cited by papers focused on Digital Media Forensic Detection (3 papers), Human Motion and Animation (3 papers) and Web Data Mining and Analysis (2 papers). Chen Shen collaborates with scholars based in China, Japan and Germany. Chen Shen's co-authors include Shouhong Ding, Taiping Yao, Xiaokang Yang, Chao Ma, Ke Sun, Jilin Li, Rongrong Ji, Bin Wang, Jun Jiao and Hongyu Zhang and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology, British Journal of Radiology and Inorganica Chimica Acta.

In The Last Decade

Chen Shen

17 papers receiving 330 citations

Hit Papers

End-to-End Reconstruction... 2022 2026 2023 2024 2022 2022 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Chen Shen 277 103 29 11 10 20 339
Chenqi Kong 231 0.8× 50 0.5× 81 2.8× 3 0.3× 9 0.9× 16 349
Hao Liu 213 0.8× 200 1.9× 10 0.3× 3 0.3× 5 0.5× 18 311
Yiling Wu 331 1.2× 142 1.4× 44 1.5× 4 0.4× 3 0.3× 15 395
Zhiqing Guo 256 0.9× 67 0.7× 27 0.9× 7 0.6× 7 0.7× 25 335
Yasuaki Nakano 253 0.9× 34 0.3× 30 1.0× 8 0.7× 11 1.1× 16 295
Tao He 261 0.9× 122 1.2× 13 0.4× 8 0.7× 2 0.2× 31 354
Mohammed Aloraini 223 0.8× 108 1.0× 11 0.4× 1 0.1× 5 0.5× 21 368
Dirk Weissenborn 180 0.6× 288 2.8× 19 0.7× 2 0.2× 3 0.3× 14 380
Qian Zhang 237 0.9× 102 1.0× 20 0.7× 1 0.1× 14 1.4× 26 312
Xinshao Wang 188 0.7× 134 1.3× 15 0.5× 8 0.8× 14 295

Countries citing papers authored by Chen Shen

Since Specialization
Citations

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

Fields of papers citing papers by Chen Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chen Shen

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