Kuan‐Chung Chen

20 total papers · 1.2k total citations
14 papers, 856 citations indexed

About

Kuan‐Chung Chen is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Kuan‐Chung Chen has authored 14 papers receiving a total of 856 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 4 papers in Hardware and Architecture and 3 papers in Information Systems. Recurrent topics in Kuan‐Chung Chen's work include Parallel Computing and Optimization Techniques (4 papers), Interconnection Networks and Systems (4 papers) and Online and Blended Learning (2 papers). Kuan‐Chung Chen is often cited by papers focused on Parallel Computing and Optimization Techniques (4 papers), Interconnection Networks and Systems (4 papers) and Online and Blended Learning (2 papers). Kuan‐Chung Chen collaborates with scholars based in Taiwan and United States. Kuan‐Chung Chen's co-authors include Syh‐Jong Jang, You‐Chiun Wang, Robert Maribe Branch, Chung‐Ho Chen, Wei‐Guang Teng, Susan J. Masten and Yu‐Cheng Chen and has published in prestigious journals such as Computers in Human Behavior, IEEE Transactions on Mobile Computing and Journal of Engineering Education.

In The Last Decade

Kuan‐Chung Chen

14 papers receiving 787 citations

Hit Papers

Motivation in online lear... 2010 2026 2015 2020 2010 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Kuan‐Chung Chen 459 217 178 169 164 14 856
Yan Dong 597 1.3× 168 0.8× 186 1.0× 112 0.7× 117 0.7× 42 981
M’hammed Abdous 482 1.1× 126 0.6× 81 0.5× 119 0.7× 193 1.2× 28 898
Cherng‐Jyh Yen 569 1.2× 225 1.0× 84 0.5× 156 0.9× 238 1.5× 31 897
Harvey Mellar 472 1.0× 228 1.1× 162 0.9× 76 0.4× 153 0.9× 40 845
Ji-Hye Park 469 1.0× 118 0.5× 121 0.7× 167 1.0× 231 1.4× 37 937
Rasheed Abubakar Rasheed 652 1.4× 140 0.6× 50 0.3× 75 0.4× 251 1.5× 13 1.0k
Shuang Geng 480 1.0× 139 0.6× 70 0.4× 207 1.2× 172 1.0× 29 945
Suparna Sinha 689 1.5× 375 1.7× 127 0.7× 43 0.3× 118 0.7× 27 1.0k
Jacqueline Bichsel 307 0.7× 93 0.4× 127 0.7× 147 0.9× 86 0.5× 20 769
Kai‐Hsin Tai 365 0.8× 344 1.6× 131 0.7× 191 1.1× 182 1.1× 53 1.0k

Countries citing papers authored by Kuan‐Chung Chen

Since Specialization
Citations

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

Fields of papers citing papers by Kuan‐Chung Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kuan‐Chung Chen

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