Shu‐Yuan Chen

120 total papers · 1.8k total citations
72 papers, 1.3k citations indexed

About

Shu‐Yuan Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Shu‐Yuan Chen has authored 72 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 10 papers in Media Technology. Recurrent topics in Shu‐Yuan Chen's work include Image Retrieval and Classification Techniques (14 papers), Advanced Image and Video Retrieval Techniques (13 papers) and Handwritten Text Recognition Techniques (6 papers). Shu‐Yuan Chen is often cited by papers focused on Image Retrieval and Classification Techniques (14 papers), Advanced Image and Video Retrieval Techniques (13 papers) and Handwritten Text Recognition Techniques (6 papers). Shu‐Yuan Chen collaborates with scholars based in China, Taiwan and Hong Kong. Shu‐Yuan Chen's co-authors include David Ahlström, Amber Yun‐Ping Lee, Liang‐Chih Huang, Chaojie Ji, Ye Li, Ruxin Wang, Jianping Fan, Wen‐Hsiang Tsai, Weiyuan Chen and Jian Gao and has published in prestigious journals such as Journal of Cleaner Production, Chemical Engineering Journal and Expert Systems with Applications.

In The Last Decade

Shu‐Yuan Chen

67 papers receiving 1.2k citations

Hit Papers

Boundary-aware context ne... 2022 2026 2023 2024 2022 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Shu‐Yuan Chen 500 192 147 135 112 72 1.3k
Zheng Huang 236 0.5× 45 0.2× 92 0.6× 77 0.6× 158 1.4× 76 1.2k
Simon Watson 187 0.4× 76 0.4× 74 0.5× 71 0.5× 246 2.2× 96 1.4k
Víctor Murray 385 0.8× 492 2.6× 86 0.6× 46 0.3× 29 0.3× 97 1.8k
Wonjoon Kim 198 0.4× 35 0.2× 333 2.3× 42 0.3× 80 0.7× 65 1.5k
Zhou Zhang 112 0.2× 47 0.2× 47 0.3× 139 1.0× 220 2.0× 83 1.1k
Chih‐Cheng Chen 173 0.3× 43 0.2× 64 0.4× 54 0.4× 427 3.8× 138 1.5k
Sai Hong Tang 149 0.3× 31 0.2× 64 0.4× 77 0.6× 134 1.2× 78 1.3k
Yu Liu 358 0.7× 43 0.2× 383 2.6× 37 0.3× 74 0.7× 130 1.8k
Michael Weeks 258 0.5× 48 0.3× 88 0.6× 36 0.3× 143 1.3× 75 1.2k
Yi Zhang 56 0.1× 132 0.7× 77 0.5× 54 0.4× 76 0.7× 134 1.5k

Countries citing papers authored by Shu‐Yuan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shu‐Yuan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shu‐Yuan Chen

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