Yu-Chuan Chen

49 total papers · 551 total citations
34 papers, 410 citations indexed

About

Yu-Chuan Chen is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Yu-Chuan Chen has authored 34 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electrical and Electronic Engineering, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Biomedical Engineering. Recurrent topics in Yu-Chuan Chen's work include Power System Optimization and Stability (4 papers), VLSI and FPGA Design Techniques (4 papers) and Quantum-Dot Cellular Automata (3 papers). Yu-Chuan Chen is often cited by papers focused on Power System Optimization and Stability (4 papers), VLSI and FPGA Design Techniques (4 papers) and Quantum-Dot Cellular Automata (3 papers). Yu-Chuan Chen collaborates with scholars based in Taiwan, China and Canada. Yu-Chuan Chen's co-authors include Mark Po-Hung Lin, Chih‐Cheng Hsu, Shinyi Lin, Chien‐Yeh Hsu, Li Liu, Sherry Yang, Hsiao‐Lung Chan, S.O. Faried, C. Y. Chung and Seyed Mahdi Mazhari and has published in prestigious journals such as Chemistry of Materials, IEEE Transactions on Power Systems and Expert Systems with Applications.

In The Last Decade

Yu-Chuan Chen

34 papers receiving 397 citations

Author Peers

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

Author Last Decade Papers Cites
Yu-Chuan Chen 138 77 47 41 41 34 410
Wenbo Jiang 61 0.4× 52 0.7× 184 3.9× 12 0.3× 42 1.0× 38 446
Jie Wang 71 0.5× 24 0.3× 25 0.5× 20 0.5× 39 1.0× 28 473
Shuo Yang 106 0.8× 49 0.6× 32 0.7× 18 0.4× 11 0.3× 24 434
Woo Young Jung 113 0.8× 34 0.4× 24 0.5× 118 2.9× 63 1.5× 49 440
Fei Li 169 1.2× 30 0.4× 78 1.7× 13 0.3× 15 0.4× 29 490
Semih Bilgen 127 0.9× 34 0.4× 59 1.3× 8 0.2× 18 0.4× 50 442
Woocheol Kim 57 0.4× 59 0.8× 26 0.6× 37 0.9× 18 0.4× 45 461
Qin Wan 117 0.8× 62 0.8× 49 1.0× 23 0.6× 59 1.4× 40 372
Kuo‐Chi Lin 102 0.7× 53 0.7× 30 0.6× 14 0.3× 53 1.3× 52 489
Xing Tong 326 2.4× 28 0.4× 35 0.7× 39 1.0× 21 0.5× 38 468

Countries citing papers authored by Yu-Chuan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yu-Chuan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu-Chuan Chen

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