Wei-Chih Tsai

28 total papers · 1.2k total citations
22 papers, 1.0k citations indexed

About

Wei-Chih Tsai is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Wei-Chih Tsai has authored 22 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electrical and Electronic Engineering, 14 papers in Materials Chemistry and 8 papers in Biomedical Engineering. Recurrent topics in Wei-Chih Tsai's work include Semiconductor materials and devices (8 papers), Nanowire Synthesis and Applications (7 papers) and ZnO doping and properties (7 papers). Wei-Chih Tsai is often cited by papers focused on Semiconductor materials and devices (8 papers), Nanowire Synthesis and Applications (7 papers) and ZnO doping and properties (7 papers). Wei-Chih Tsai collaborates with scholars based in Taiwan, China and United States. Wei-Chih Tsai's co-authors include Yi Huang, Ming‐Ta Hsu, Jaw‐Ching Wu, Hsien‐Da Huang, Michael Hsiao, Ann‐Ping Tsou, Roger Shen, Shu-Jen Chen, Sheng‐Da Hsu and Tsung‐Ching Lai and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Applied Physics Letters.

In The Last Decade

Wei-Chih Tsai

19 papers receiving 997 citations

Hit Papers

MicroRNA-122 plays a crit... 2012 2026 2016 2021 2012 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Wei-Chih Tsai 607 493 169 145 112 22 1.0k
Yingshan Chen 662 1.1× 171 0.3× 175 1.0× 86 0.6× 49 0.4× 38 1.1k
Mengyao Qin 432 0.7× 217 0.4× 101 0.6× 163 1.1× 46 0.4× 33 1.2k
Tianrui Chen 461 0.8× 377 0.8× 98 0.6× 95 0.7× 34 0.3× 25 1.1k
Yufei Pan 427 0.7× 185 0.4× 142 0.8× 60 0.4× 42 0.4× 47 861
Xinke Zhou 685 1.1× 416 0.8× 97 0.6× 85 0.6× 41 0.4× 41 1.1k
Jingyuan Sun 530 0.9× 296 0.6× 45 0.3× 122 0.8× 116 1.0× 25 879
Bo Yuan 443 0.7× 305 0.6× 73 0.4× 285 2.0× 52 0.5× 43 1.1k
Gavinella Latte 582 1.0× 300 0.6× 99 0.6× 44 0.3× 219 2.0× 14 969
Can Cao 659 1.1× 330 0.7× 65 0.4× 103 0.7× 91 0.8× 50 1.2k
Mengtao Zhou 387 0.6× 230 0.5× 160 0.9× 49 0.3× 23 0.2× 45 917

Countries citing papers authored by Wei-Chih Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Wei-Chih Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei-Chih Tsai

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