Shannon Chen

37 total papers · 413 total citations
27 papers, 223 citations indexed

About

Shannon Chen is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Sociology and Political Science. According to data from OpenAlex, Shannon Chen has authored 27 papers receiving a total of 223 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 9 papers in Signal Processing and 8 papers in Sociology and Political Science. Recurrent topics in Shannon Chen's work include Image and Video Quality Assessment (10 papers), Multimedia Communication and Technology (8 papers) and Corporate Taxation and Avoidance (7 papers). Shannon Chen is often cited by papers focused on Image and Video Quality Assessment (10 papers), Multimedia Communication and Technology (8 papers) and Corporate Taxation and Avoidance (7 papers). Shannon Chen collaborates with scholars based in United States, Taiwan and United Kingdom. Shannon Chen's co-authors include Bridget Stomberg, Klara Nahrstedt, Lisa De Simone, Michelle Hanlon, Rebecca Lester, Indranil Gupta, Kathleen Powers, Hao-Hua Chu, Michael Cheng and Polly Huang and has published in prestigious journals such as The Accounting Review, IEEE/ACM Transactions on Networking and ACM Transactions on Multimedia Computing Communications and Applications.

In The Last Decade

Shannon Chen

25 papers receiving 213 citations

Author Peers

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

Author Last Decade Papers Cites
Shannon Chen 132 111 65 39 28 27 223
Sungho Park 12 0.1× 93 0.8× 62 1.0× 19 0.5× 11 0.4× 32 303
Konstantinos E. Zachariadis 158 1.2× 41 0.4× 15 0.2× 6 0.2× 10 0.4× 24 255
Sebastian Heise 8 0.1× 59 0.5× 44 0.7× 16 0.4× 44 1.6× 25 154
Marianne Cherrington 16 0.1× 12 0.1× 17 0.3× 7 0.2× 11 0.4× 27 226
Jinliang Li 88 0.7× 178 1.6× 10 0.2× 12 0.3× 8 0.3× 20 284
Masayuki Hirukawa 146 1.1× 126 1.1× 9 0.1× 2 0.1× 6 0.2× 22 325
Pooja Nagpal 6 0.0× 18 0.2× 22 0.3× 9 0.2× 15 0.5× 28 167
Zhentao Shi 6 0.0× 193 1.7× 13 0.2× 10 0.3× 11 0.4× 28 302
K. S. Nathan 12 0.1× 9 0.1× 161 2.5× 65 1.7× 58 2.1× 38 319
Bobo Li 10 0.1× 7 0.1× 30 0.5× 20 0.5× 10 0.4× 36 328

Countries citing papers authored by Shannon Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shannon Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shannon Chen

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