Kuan‐Chung Chen

98 total papers · 2.4k total citations
80 papers, 2.0k citations indexed

About

Kuan‐Chung Chen is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Kuan‐Chung Chen has authored 80 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 15 papers in Electrical and Electronic Engineering and 12 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Kuan‐Chung Chen's work include Computational Drug Discovery Methods (6 papers), Toxic Organic Pollutants Impact (6 papers) and Advanced oxidation water treatment (5 papers). Kuan‐Chung Chen is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Toxic Organic Pollutants Impact (6 papers) and Advanced oxidation water treatment (5 papers). Kuan‐Chung Chen collaborates with scholars based in Taiwan, United States and India. Kuan‐Chung Chen's co-authors include Yu‐Hsiang Wang, Calvin Yu‐Chian Chen, Calvin Yu‐Chian Chen, Ching‐Ping Liu, How‐Ran Chao, Hsin‐Yi Chen, Te‐Haw Wu, Chia‐Yeh Liu, Shu‐Yi Lin and Kai‐Wei Chang and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Water Research.

In The Last Decade

Kuan‐Chung Chen

79 papers receiving 2.0k citations

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 492 364 361 324 226 80 2.0k
Zhigang Li 744 1.5× 360 1.0× 474 1.3× 344 1.1× 163 0.7× 147 3.0k
Zhixiang Xu 779 1.6× 356 1.0× 243 0.7× 275 0.8× 138 0.6× 89 2.3k
Hui Ge 730 1.5× 360 1.0× 297 0.8× 120 0.4× 248 1.1× 116 2.3k
Yanjun Fang 417 0.8× 438 1.2× 404 1.1× 418 1.3× 348 1.5× 148 2.3k
Fabrizio Ruggieri 316 0.6× 184 0.5× 533 1.5× 279 0.9× 112 0.5× 64 2.0k
Geovani C. Brandão 415 0.8× 255 0.7× 196 0.5× 567 1.8× 279 1.2× 35 3.2k
Sergio Manzetti 219 0.4× 651 1.8× 663 1.8× 379 1.2× 610 2.7× 59 3.3k
Yuting Zhou 672 1.4× 155 0.4× 498 1.4× 253 0.8× 77 0.3× 89 2.1k
Reena Singh 397 0.8× 277 0.8× 295 0.8× 355 1.1× 71 0.3× 61 2.0k
Ying Xiong 620 1.3× 301 0.8× 278 0.8× 315 1.0× 115 0.5× 100 2.0k

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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2026