Shuangyan Yi

25 total papers · 716 total citations
20 papers, 566 citations indexed

About

Shuangyan Yi is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Signal Processing. According to data from OpenAlex, Shuangyan Yi has authored 20 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 11 papers in Computational Mechanics and 5 papers in Signal Processing. Recurrent topics in Shuangyan Yi's work include Face and Expression Recognition (11 papers), Sparse and Compressive Sensing Techniques (11 papers) and Blind Source Separation Techniques (5 papers). Shuangyan Yi is often cited by papers focused on Face and Expression Recognition (11 papers), Sparse and Compressive Sensing Techniques (11 papers) and Blind Source Separation Techniques (5 papers). Shuangyan Yi collaborates with scholars based in China, Hong Kong and United States. Shuangyan Yi's co-authors include Zhenyu He, Yiu‐ming Cheung, Xinge You, Yuan Yan Tang, Zhihui Lai, Yang Liu, Yongsheng Liang, Wen-Sheng Chen, Feiping Nie and Xiao‐Yuan Jing and has published in prestigious journals such as Pattern Recognition, IEEE Transactions on Cybernetics and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Shuangyan Yi

17 papers receiving 554 citations

Author Peers

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

Author						Papers	Cites
Shuangyan Yi	438	142	119	99	70	20	566
Jiajun Wen	458 1.0×	214 1.5×	133 1.1×	116 1.2×	74 1.1×	51	641
Yanwei Pang	429 1.0×	105 0.7×	90 0.8×	110 1.1×	108 1.5×	11	544
S.Z. Li	516 1.2×	123 0.9×	76 0.6×	119 1.2×	107 1.5×	12	669
A. Ertüzün	288 0.7×	65 0.5×	150 1.3×	192 1.9×	65 0.9×	40	580
Tingkai Sun	436 1.0×	196 1.4×	34 0.3×	123 1.2×	66 0.9×	20	644
Yan Cui	316 0.7×	147 1.0×	35 0.3×	58 0.6×	43 0.6×	32	603
Haitao Zhao	362 0.8×	134 0.9×	35 0.3×	138 1.4×	58 0.8×	34	575
Jie Li	458 1.0×	52 0.4×	66 0.6×	48 0.5×	81 1.2×	39	618
A. Carmona-Poyato	488 1.1×	81 0.6×	42 0.4×	76 0.8×	33 0.5×	38	639
Ke-Kun Huang	392 0.9×	169 1.2×	43 0.4×	132 1.3×	93 1.3×	33	616

Countries citing papers authored by Shuangyan Yi

Since Specialization

Citations

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

Fields of papers citing papers by Shuangyan Yi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuangyan Yi

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