Shuo Yu

53 total papers · 508 total citations
21 papers, 308 citations indexed

About

Shuo Yu is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shuo Yu has authored 21 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Information Systems, 5 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shuo Yu's work include Information and Cyber Security (3 papers), Context-Aware Activity Recognition Systems (3 papers) and Recommender Systems and Techniques (2 papers). Shuo Yu is often cited by papers focused on Information and Cyber Security (3 papers), Context-Aware Activity Recognition Systems (3 papers) and Recommender Systems and Techniques (2 papers). Shuo Yu collaborates with scholars based in China, United States and Macao. Shuo Yu's co-authors include Randall A. Brown, Hsinchun Chen, Hsinchun Chen, Sagar Samtani, Hongyi Zhu, Mark Patton, Hong Zhang, Yuan Tian, Scott J. Sherman and Yidong Chai and has published in prestigious journals such as SHILAP Revista de lepidopterología, MIS Quarterly and Information & Management.

In The Last Decade

Shuo Yu

20 papers receiving 297 citations

Author Peers

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

Author Last Decade Papers Cites
Shuo Yu 72 68 62 59 50 21 308
Vesa Kyllönen 67 0.9× 48 0.7× 23 0.4× 42 0.7× 38 0.8× 33 277
Daniel Cesarini 123 1.7× 81 1.2× 37 0.6× 25 0.4× 47 0.9× 26 327
Philip Asare 67 0.9× 35 0.5× 38 0.6× 30 0.5× 50 1.0× 36 306
SeongKi Kim 65 0.9× 55 0.8× 57 0.9× 29 0.5× 35 0.7× 32 260
Jonathan Gips 120 1.7× 77 1.1× 24 0.4× 30 0.5× 59 1.2× 12 290
Martin Magdin 40 0.6× 26 0.4× 52 0.8× 58 1.0× 17 0.3× 41 295
Pertti Huuskonen 102 1.4× 86 1.3× 31 0.5× 38 0.6× 24 0.5× 24 289
Gerrit Niezen 69 1.0× 62 0.9× 30 0.5× 18 0.3× 50 1.0× 22 308
Wolfgang Leister 65 0.9× 106 1.6× 29 0.5× 89 1.5× 15 0.3× 35 259
Eric Becker 111 1.5× 74 1.1× 26 0.4× 21 0.4× 69 1.4× 26 307

Countries citing papers authored by Shuo Yu

Since Specialization
Citations

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

Fields of papers citing papers by Shuo Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuo Yu

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