Yuh‐Show Tsai

56 total papers · 1.7k total citations
42 papers, 612 citations indexed

About

Yuh‐Show Tsai is a scholar working on Molecular Biology, Artificial Intelligence and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Yuh‐Show Tsai has authored 42 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Artificial Intelligence and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Yuh‐Show Tsai's work include Heart Rate Variability and Autonomic Control (6 papers), Cell Image Analysis Techniques (5 papers) and semigroups and automata theory (5 papers). Yuh‐Show Tsai is often cited by papers focused on Heart Rate Variability and Autonomic Control (6 papers), Cell Image Analysis Techniques (5 papers) and semigroups and automata theory (5 papers). Yuh‐Show Tsai collaborates with scholars based in Taiwan, United States and Hungary. Yuh‐Show Tsai's co-authors include Cheng‐Deng Kuo, Yung‐Hsien Chang, Chung‐Chih Lin, Shaou-Gang Miaou, Chin-Ming Hsu, Chin‐Yu Chen, Jane Wang, Guan‐Yu Chen, King‐Jen Chang and Chia‐Yu Hsu and has published in prestigious journals such as Bioinformatics, Sensors and BMC Bioinformatics.

In The Last Decade

Yuh‐Show Tsai

41 papers receiving 574 citations

Author Peers

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

Author Last Decade Papers Cites
Yuh‐Show Tsai 157 100 70 69 61 42 612
Tatsuhisa Takahashi 211 1.3× 75 0.8× 183 2.6× 125 1.8× 55 0.9× 50 676
Zhong Zhang 164 1.0× 71 0.7× 46 0.7× 22 0.3× 50 0.8× 34 565
Yanru Bai 115 0.7× 98 1.0× 18 0.3× 10 0.1× 64 1.0× 55 680
Kazuhiro Homma 39 0.2× 55 0.6× 261 3.7× 12 0.2× 51 0.8× 47 648
Shin-ichi Nitta 155 1.0× 26 0.3× 151 2.2× 159 2.3× 36 0.6× 31 652
A. H. Goodman 173 1.1× 110 1.1× 30 0.4× 66 1.0× 161 2.6× 34 607
Tatjana Lončar-Turukalo 120 0.8× 53 0.5× 36 0.5× 6 0.1× 30 0.5× 50 612
Herbert Jelinek 33 0.2× 84 0.8× 96 1.4× 33 0.5× 46 0.8× 22 523
Jean‐Marc Girault 118 0.8× 39 0.4× 138 2.0× 7 0.1× 47 0.8× 66 594
Peter Rask 177 1.1× 16 0.2× 37 0.5× 19 0.3× 121 2.0× 33 602

Countries citing papers authored by Yuh‐Show Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Yuh‐Show Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuh‐Show 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 Yuh‐Show Tsai. The network helps show where Yuh‐Show Tsai may publish in the future.

Co-authorship network of co-authors of Yuh‐Show Tsai

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