Yu-Chen Tsai

76 total papers · 3.0k total citations
69 papers, 2.6k citations indexed

About

Yu-Chen Tsai is a scholar working on Electrical and Electronic Engineering, Electrochemistry and Polymers and Plastics. According to data from OpenAlex, Yu-Chen Tsai has authored 69 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Electrical and Electronic Engineering, 36 papers in Electrochemistry and 22 papers in Polymers and Plastics. Recurrent topics in Yu-Chen Tsai's work include Electrochemical Analysis and Applications (36 papers), Electrochemical sensors and biosensors (36 papers) and Conducting polymers and applications (21 papers). Yu-Chen Tsai is often cited by papers focused on Electrochemical Analysis and Applications (36 papers), Electrochemical sensors and biosensors (36 papers) and Conducting polymers and applications (21 papers). Yu-Chen Tsai collaborates with scholars based in Taiwan, United Kingdom and Spain. Yu-Chen Tsai's co-authors include Chien‐Shiun Liao, Jieming Chen, Hao‐Hsiang Chang, Han-Wei Chang, Frank Marken, Barry A. Coles, Richard G. Compton, F. Javier del Campo, Tzong‐Ming Wu and Yen‐Wen Lin and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and The Journal of Physical Chemistry B.

In The Last Decade

Yu-Chen Tsai

68 papers receiving 2.5k 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-Chen Tsai 1.7k 1.0k 769 599 553 69 2.6k
P. Santhosh 1.9k 1.1× 836 0.8× 1.1k 1.4× 531 0.9× 579 1.0× 76 2.9k
Yu Ding 1.7k 1.0× 891 0.9× 926 1.2× 551 0.9× 426 0.8× 81 2.6k
Yang‐Rae Kim 1.5k 0.9× 1.1k 1.1× 637 0.8× 635 1.1× 304 0.5× 46 2.6k
Balasubramanian Sriram 1.9k 1.1× 1.1k 1.1× 401 0.5× 448 0.7× 482 0.9× 79 2.5k
Rajkumar Devasenathipathy 1.6k 0.9× 958 0.9× 472 0.6× 574 1.0× 346 0.6× 84 2.2k
A.T. Ezhil Vilian 1.9k 1.1× 1.0k 1.0× 676 0.9× 785 1.3× 375 0.7× 72 3.1k
Pramod K. Kalambate 1.6k 0.9× 611 0.6× 385 0.5× 577 1.0× 411 0.7× 51 2.5k
Dimitrios K. Kampouris 2.0k 1.2× 1.1k 1.0× 600 0.8× 395 0.7× 474 0.9× 37 2.9k
Frank N. Crespilho 1.9k 1.1× 796 0.8× 719 0.9× 1.0k 1.7× 407 0.7× 143 3.3k
Balamurugan Thirumalraj 3.0k 1.8× 1.2k 1.1× 594 0.8× 483 0.8× 443 0.8× 76 3.7k

Countries citing papers authored by Yu-Chen Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Yu-Chen Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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