Chen Shen

145 total papers · 2.1k total citations
87 papers, 1.5k citations indexed

About

Chen Shen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Chen Shen has authored 87 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 32 papers in Computer Vision and Pattern Recognition and 9 papers in Molecular Biology. Recurrent topics in Chen Shen's work include Video Surveillance and Tracking Methods (11 papers), Face and Expression Recognition (9 papers) and Domain Adaptation and Few-Shot Learning (8 papers). Chen Shen is often cited by papers focused on Video Surveillance and Tracking Methods (11 papers), Face and Expression Recognition (9 papers) and Domain Adaptation and Few-Shot Learning (8 papers). Chen Shen collaborates with scholars based in China, United States and United Kingdom. Chen Shen's co-authors include Xian‐Sheng Hua, Yiru Zhao, Bing Deng, Yao Liu, Hongtao Lu, Chunhua Xiong, Rongrong Ji, Hongxia Zhao, Baocheng Qu and Xiuying Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and Carbohydrate Polymers.

In The Last Decade

Chen Shen

78 papers receiving 1.5k citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

Author Peers

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

Author						Papers	Cites
Chen Shen	596	517	240	234	123	87	1.5k
Vishal Jain	365 0.6×	385 0.7×	112 0.5×	270 1.2×	59 0.5×	210	2.0k
Anupam Shukla	612 1.0×	876 1.7×	160 0.7×	393 1.7×	85 0.7×	170	2.1k
Lip Yee Por	678 1.1×	517 1.0×	133 0.6×	182 0.8×	26 0.2×	132	2.3k
Sunil Kumar Jha	282 0.5×	357 0.7×	414 1.7×	100 0.4×	37 0.3×	101	1.9k
Jinchao Chen	232 0.4×	577 1.1×	183 0.8×	449 1.9×	121 1.0×	161	2.4k
Lin Meng	447 0.8×	714 1.4×	198 0.8×	367 1.6×	64 0.5×	181	2.0k
Zhenni Li	433 0.7×	504 1.0×	300 1.3×	312 1.3×	21 0.2×	125	1.9k
Takuya Maekawa	220 0.4×	453 0.9×	374 1.6×	257 1.1×	115 0.9×	171	2.1k
Junita Mohamad–Saleh	392 0.7×	195 0.4×	135 0.6×	67 0.3×	150 1.2×	85	1.4k
Lei Chen	592 1.0×	159 0.3×	282 1.2×	283 1.2×	52 0.4×	217	2.4k

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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