Hui Shen

69 total papers · 991 total citations
33 papers, 588 citations indexed

About

Hui Shen is a scholar working on Mechanical Engineering, Computer Vision and Pattern Recognition and Mechanics of Materials. According to data from OpenAlex, Hui Shen has authored 33 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Mechanical Engineering, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Mechanics of Materials. Recurrent topics in Hui Shen's work include Cellular and Composite Structures (4 papers), Orthopaedic implants and arthroplasty (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Hui Shen is often cited by papers focused on Cellular and Composite Structures (4 papers), Orthopaedic implants and arthroplasty (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Hui Shen collaborates with scholars based in China, United States and Lithuania. Hui Shen's co-authors include L. Catherine Brinson, Cliff J. Lissenden, David C. Dunand, Scott Oppenheimer, Kai Wang, Jufeng Yang, Jane Lin, Ming Sun, Long Li and Jun Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and Chemical Engineering Journal.

In The Last Decade

Hui Shen

25 papers receiving 575 citations

Author Peers

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

Author						Papers	Cites
Hui Shen	197	139	123	115	92	33	588
Jianxing Yang	292 1.5×	62 0.4×	91 0.7×	155 1.3×	35 0.4×	29	564
K. Balamurugan	322 1.6×	131 0.9×	33 0.3×	99 0.9×	48 0.5×	46	680
Sayan Sarkar	184 0.9×	82 0.6×	98 0.8×	160 1.4×	62 0.7×	58	634
Fuyu Guo	390 2.0×	82 0.6×	130 1.1×	182 1.6×	34 0.4×	21	675
Bo Zhang	148 0.8×	93 0.7×	87 0.7×	118 1.0×	87 0.9×	58	621
Xiangsheng Gao	300 1.5×	83 0.6×	28 0.2×	105 0.9×	75 0.8×	58	662
Chun‐Ching Hsiao	167 0.8×	214 1.5×	71 0.6×	297 2.6×	30 0.3×	34	657
Yunyi Liu	121 0.6×	53 0.4×	41 0.3×	182 1.6×	140 1.5×	59	631
Jianlong Huang	176 0.9×	81 0.6×	96 0.8×	162 1.4×	73 0.8×	54	590
Y. Wang	136 0.7×	185 1.3×	29 0.2×	83 0.7×	40 0.4×	33	571

Countries citing papers authored by Hui Shen

Since Specialization

Citations

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

Fields of papers citing papers by Hui Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui Shen

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