Yu Yin

82 total papers · 585 total citations
32 papers, 321 citations indexed

About

Yu Yin is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Yu Yin has authored 32 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 5 papers in Biomedical Engineering and 4 papers in Cognitive Neuroscience. Recurrent topics in Yu Yin's work include Face recognition and analysis (5 papers), Advanced Image Processing Techniques (3 papers) and EEG and Brain-Computer Interfaces (2 papers). Yu Yin is often cited by papers focused on Face recognition and analysis (5 papers), Advanced Image Processing Techniques (3 papers) and EEG and Brain-Computer Interfaces (2 papers). Yu Yin collaborates with scholars based in United States, China and Mexico. Yu Yin's co-authors include Yun Fu, Joseph P. Robinson, Sarah Ostadabbas, Songyao Jiang, Jolie B. Wormwood, Lisa Feldman Barrett, Karen S. Quigley, Xiaopeng Dong, Xiangde Zhang and Qi Wang and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Yu Yin

30 papers receiving 313 citations

Author Peers

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

Author						Papers	Cites
Yu Yin	148	65	48	35	32	32	321
Y. V. Srinivasa Murthy	71 0.5×	135 2.1×	71 1.5×	21 0.6×	44 1.4×	27	341
Ruban Nersisson	69 0.5×	47 0.7×	34 0.7×	19 0.5×	26 0.8×	38	304
Bilei Zhu	86 0.6×	155 2.4×	35 0.7×	33 0.9×	56 1.8×	26	333
S.H. Park	58 0.4×	81 1.2×	27 0.6×	22 0.6×	35 1.1×	28	305
Ana Rita Teixeira	57 0.4×	112 1.7×	31 0.6×	127 3.6×	28 0.9×	46	296
Yan Li	99 0.7×	24 0.4×	23 0.5×	54 1.5×	27 0.8×	38	291
Hao Xiong	63 0.4×	26 0.4×	38 0.8×	27 0.8×	10 0.3×	32	270
Xuehai Ding	52 0.4×	18 0.3×	26 0.5×	49 1.4×	9 0.3×	24	262
Patricia Nava	42 0.3×	43 0.7×	67 1.4×	71 2.0×	29 0.9×	32	366
Hossein Nejati	94 0.6×	53 0.8×	22 0.5×	38 1.1×	5 0.2×	22	285

Countries citing papers authored by Yu Yin

Since Specialization

Citations

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

Fields of papers citing papers by Yu Yin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Yin

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