Shu Shi

36 total papers · 596 total citations
29 papers, 441 citations indexed

About

Shu Shi is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Sociology and Political Science. According to data from OpenAlex, Shu Shi has authored 29 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 13 papers in Signal Processing and 7 papers in Sociology and Political Science. Recurrent topics in Shu Shi's work include Image and Video Quality Assessment (21 papers), Video Coding and Compression Technologies (13 papers) and Multimedia Communication and Technology (7 papers). Shu Shi is often cited by papers focused on Image and Video Quality Assessment (21 papers), Video Coding and Compression Technologies (13 papers) and Multimedia Communication and Technology (7 papers). Shu Shi collaborates with scholars based in United States, China and Taiwan. Shu Shi's co-authors include Klara Nahrstedt, Roy H. Campbell, Cheng-Hsin Hsu, Rittwik Jana, Ahsan Arefin, Raoul Rivas, Wanmin Wu, Zixia Huang, Pooja Agarwal and John C. Hart and has published in prestigious journals such as ACM Computing Surveys, IEEE Multimedia and ACM Transactions on Multimedia Computing Communications and Applications.

In The Last Decade

Shu Shi

28 papers receiving 428 citations

Author Peers

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

Author Last Decade Papers Cites
Shu Shi 353 132 108 83 82 29 441
Ahsan Arefin 262 0.7× 236 1.8× 74 0.7× 29 0.3× 23 0.3× 30 470
Hwai-Jung Hsu 222 0.6× 151 1.1× 37 0.3× 72 0.9× 15 0.2× 22 405
Shaoxuan Wang 225 0.6× 243 1.8× 64 0.6× 76 0.9× 11 0.1× 16 412
Leonardo Chiariglione 246 0.7× 86 0.7× 164 1.5× 23 0.3× 17 0.2× 45 372
Mengbai Xiao 326 0.9× 214 1.6× 194 1.8× 12 0.1× 8 0.1× 43 461
J. Robert Ensor 65 0.2× 227 1.7× 16 0.1× 105 1.3× 10 0.1× 24 437
Hua-Jun Hong 168 0.5× 300 2.3× 17 0.2× 64 0.8× 6 0.1× 20 406
Bin Yu 300 0.8× 58 0.4× 58 0.5× 4 0.0× 12 0.1× 17 391
Nikolaos Zioulis 325 0.9× 58 0.4× 24 0.2× 3 0.0× 59 0.7× 33 442
Florian Metzger 96 0.3× 271 2.1× 32 0.3× 33 0.4× 4 0.0× 36 388

Countries citing papers authored by Shu Shi

Since Specialization
Citations

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

Fields of papers citing papers by Shu Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shu Shi

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