Shoou-I Yu

61 total papers · 1.8k total citations
31 papers, 904 citations indexed

About

Shoou-I Yu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Shoou-I Yu has authored 31 papers receiving a total of 904 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 3 papers in Information Systems. Recurrent topics in Shoou-I Yu's work include Advanced Image and Video Retrieval Techniques (15 papers), Video Analysis and Summarization (12 papers) and Multimodal Machine Learning Applications (8 papers). Shoou-I Yu is often cited by papers focused on Advanced Image and Video Retrieval Techniques (15 papers), Video Analysis and Summarization (12 papers) and Multimodal Machine Learning Applications (8 papers). Shoou-I Yu collaborates with scholars based in United States, China and Australia. Shoou-I Yu's co-authors include Alexander G. Hauptmann, Lu Jiang, Zhenzhong Lan, Deyu Meng, Alexander G. Hauptmann, Shiguang Shan, Yi Yang, Teruko Mitamura, Jianbo Shi and Lei Bao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and ACM Transactions on Graphics.

In The Last Decade

Shoou-I Yu

30 papers receiving 863 citations

Author Peers

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

Author Last Decade Papers Cites
Shoou-I Yu 704 317 80 62 57 31 904
Min Wang 515 0.7× 240 0.8× 76 0.9× 49 0.8× 21 0.4× 38 735
Changyou Chen 526 0.7× 506 1.6× 78 1.0× 94 1.5× 37 0.6× 55 987
Yanhao Zhang 532 0.8× 266 0.8× 55 0.7× 54 0.9× 23 0.4× 48 712
Chenglong Wang 315 0.4× 374 1.2× 118 1.5× 76 1.2× 138 2.4× 36 799
L. Zhao 568 0.8× 359 1.1× 57 0.7× 29 0.5× 31 0.5× 41 973
Yuhan Wang 552 0.8× 129 0.4× 164 2.0× 45 0.7× 23 0.4× 39 812
Ning Xie 572 0.8× 243 0.8× 35 0.4× 54 0.9× 24 0.4× 63 835
Yanbo Fan 518 0.7× 329 1.0× 91 1.1× 42 0.7× 10 0.2× 43 828
Wenhao Jiang 809 1.1× 331 1.0× 51 0.6× 29 0.5× 39 0.7× 37 1.1k
Ruoyu Li 218 0.3× 431 1.4× 58 0.7× 31 0.5× 93 1.6× 31 794

Countries citing papers authored by Shoou-I Yu

Since Specialization
Citations

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

Fields of papers citing papers by Shoou-I Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shoou-I Yu

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