Chun‐Yu Chen

78 total papers · 1.4k total citations
50 papers, 946 citations indexed

About

Chun‐Yu Chen is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Chun‐Yu Chen has authored 50 papers receiving a total of 946 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Networks and Communications, 16 papers in Computer Vision and Pattern Recognition and 15 papers in Artificial Intelligence. Recurrent topics in Chun‐Yu Chen's work include Anomaly Detection Techniques and Applications (7 papers), Network Security and Intrusion Detection (7 papers) and Video Surveillance and Tracking Methods (6 papers). Chun‐Yu Chen is often cited by papers focused on Anomaly Detection Techniques and Applications (7 papers), Network Security and Intrusion Detection (7 papers) and Video Surveillance and Tracking Methods (6 papers). Chun‐Yu Chen collaborates with scholars based in Taiwan, China and United States. Chun‐Yu Chen's co-authors include Yenchun Jim Wu, Wen‐Hsiung Wu, Che-Hung Lin, Hao-Yun Kao, Xiaojun Bi, Cheng-Ting Lin, Jun-Wei Hsieh, Yun‐Ru Chen, Mai Suan Li and Chin‐Kun Hu and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and Computers & Education.

In The Last Decade

Chun‐Yu Chen

46 papers receiving 867 citations

Hit Papers

Review of trends from mob... 2012 2026 2016 2021 2012 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Chun‐Yu Chen 551 284 189 128 111 50 946
Monica Divitini 293 0.5× 169 0.6× 125 0.7× 121 0.9× 181 1.6× 96 1.0k
Po‐Sheng Chiu 361 0.7× 293 1.0× 134 0.7× 61 0.5× 134 1.2× 39 809
Prathamesh Churi 267 0.5× 212 0.7× 127 0.7× 91 0.7× 125 1.1× 72 984
Samir Abou El-Seoud 345 0.6× 317 1.1× 72 0.4× 84 0.7× 146 1.3× 91 1.0k
Wan Fatimah Wan Ahmad 335 0.6× 215 0.8× 109 0.6× 102 0.8× 84 0.8× 135 944
Norjihan Abdul Ghani 585 1.1× 144 0.5× 238 1.3× 92 0.7× 41 0.4× 55 1.2k
Mohamed Sarrab 655 1.2× 254 0.9× 232 1.2× 36 0.3× 155 1.4× 59 1.1k
Joseph F. McCarthy 313 0.6× 131 0.5× 220 1.2× 138 1.1× 82 0.7× 42 1.1k
Muneera Bano 706 1.3× 196 0.7× 130 0.7× 35 0.3× 181 1.6× 63 1.2k
David Parsons 641 1.2× 403 1.4× 176 0.9× 104 0.8× 170 1.5× 97 1.1k

Countries citing papers authored by Chun‐Yu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chun‐Yu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chun‐Yu Chen

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