Shengye Yan

24 total papers · 443 total citations
15 papers, 269 citations indexed

About

Shengye Yan is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Shengye Yan has authored 15 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 4 papers in Media Technology and 3 papers in Artificial Intelligence. Recurrent topics in Shengye Yan's work include Advanced Image and Video Retrieval Techniques (7 papers), Face and Expression Recognition (6 papers) and Image Retrieval and Classification Techniques (3 papers). Shengye Yan is often cited by papers focused on Advanced Image and Video Retrieval Techniques (7 papers), Face and Expression Recognition (6 papers) and Image Retrieval and Classification Techniques (3 papers). Shengye Yan collaborates with scholars based in China and Singapore. Shengye Yan's co-authors include Shiguang Shan, Xilin Chen, Wen Gao, Wen Gao, Zhiheng Niu, Xilin Chen, Jie Chen, Xinxing Xu, Stephen Lin and Dong Xu and has published in prestigious journals such as Information Sciences, Remote Sensing and IEEE Transactions on Cybernetics.

In The Last Decade

Shengye Yan

13 papers receiving 243 citations

Author Peers

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

Author						Papers	Cites
Shengye Yan	224	59	40	31	29	15	269
Zhiheng Niu	252 1.1×	60 1.0×	20 0.5×	24 0.8×	79 2.7×	17	320
Alexandru Drîmbărean	193 0.9×	39 0.7×	81 2.0×	31 1.0×	31 1.1×	15	299
Antonio J. Colmenarez	212 0.9×	22 0.4×	31 0.8×	23 0.7×	42 1.4×	12	237
Minglang Qiao	213 1.0×	31 0.5×	35 0.9×	23 0.7×	72 2.5×	14	277
Ya Su	245 1.1×	10 0.2×	34 0.8×	64 2.1×	63 2.2×	23	331
Xiaoqing Ding	278 1.2×	77 1.3×	45 1.1×	36 1.2×	43 1.5×	17	312
Yangzhou Du	169 0.8×	19 0.3×	9 0.2×	30 1.0×	41 1.4×	26	221
Jordi Sànchez-Riera	209 0.9×	72 1.2×	13 0.3×	20 0.6×	22 0.8×	12	254
Martin Böhme	159 0.7×	158 2.7×	14 0.3×	10 0.3×	9 0.3×	21	263
Subarna Tripathi	226 1.0×	95 1.6×	15 0.4×	72 2.3×	11 0.4×	20	304

Countries citing papers authored by Shengye Yan

Since Specialization

Citations

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

Fields of papers citing papers by Shengye Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengye Yan

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