Jing Shen

85 total papers · 538 total citations
43 papers, 422 citations indexed

About

Jing Shen is a scholar working on Computer Vision and Pattern Recognition, Environmental Engineering and Media Technology. According to data from OpenAlex, Jing Shen has authored 43 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 13 papers in Environmental Engineering and 10 papers in Media Technology. Recurrent topics in Jing Shen's work include Remote Sensing and LiDAR Applications (13 papers), Automated Road and Building Extraction (9 papers) and Video Surveillance and Tracking Methods (7 papers). Jing Shen is often cited by papers focused on Remote Sensing and LiDAR Applications (13 papers), Automated Road and Building Extraction (9 papers) and Video Surveillance and Tracking Methods (7 papers). Jing Shen collaborates with scholars based in China, Singapore and United States. Jing Shen's co-authors include Xiangguo Lin, Zhengjun Liu, Jixian Zhang, Jiping Liu, Zhao Rong, Guochang Gu, Haibo Liu, Shenghua Xu, Hualong Yu and Jixian Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Computer Physics Communications.

In The Last Decade

Jing Shen

43 papers receiving 393 citations

Author Peers

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

Author Last Decade Papers Cites
Jing Shen 196 137 131 119 52 43 422
E. Pechersky 205 1.0× 263 1.9× 139 1.1× 123 1.0× 19 0.4× 24 426
Xiaochong Tong 106 0.5× 81 0.6× 129 1.0× 161 1.4× 45 0.9× 49 457
Rongting Zhang 132 0.7× 138 1.0× 81 0.6× 123 1.0× 47 0.9× 39 452
Elcio Hideiti Shiguemori 119 0.6× 17 0.1× 62 0.5× 128 1.1× 32 0.6× 66 445
Hong Tang 114 0.6× 75 0.5× 148 1.1× 118 1.0× 74 1.4× 44 390
Xiaonian Wang 131 0.7× 39 0.3× 22 0.2× 146 1.2× 39 0.8× 37 441
Kulsawasd Jitkajornwanich 106 0.5× 106 0.8× 141 1.1× 119 1.0× 57 1.1× 36 414
Shaochun Li 89 0.5× 32 0.2× 63 0.5× 43 0.4× 90 1.7× 31 387
Volkan Yılmaz 187 1.0× 29 0.2× 176 1.3× 118 1.0× 26 0.5× 29 431
Fang Wu 117 0.6× 187 1.4× 98 0.7× 89 0.7× 43 0.8× 42 454

Countries citing papers authored by Jing Shen

Since Specialization
Citations

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

Fields of papers citing papers by Jing Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Shen

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