Yu‐Lin Tai

15 papers and 411 indexed citations i.

About

Yu‐Lin Tai is a scholar working on Infectious Diseases, Clinical Psychology and Modeling and Simulation. According to data from OpenAlex, Yu‐Lin Tai has authored 15 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 4 papers in Clinical Psychology and 4 papers in Modeling and Simulation. Recurrent topics in Yu‐Lin Tai’s work include SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 epidemiological studies (4 papers) and COVID-19 Clinical Research Studies (4 papers). Yu‐Lin Tai is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 epidemiological studies (4 papers) and COVID-19 Clinical Research Studies (4 papers). Yu‐Lin Tai collaborates with scholars based in Taiwan. Yu‐Lin Tai's co-authors include Chien‐Yu Lin, Hsin Chi, Nan-Chang Chiu, Cheng-Yin Tseng, Chung-Chu Chen, Chun-Chih Peng, Boon‐Fatt Tan, Daniel Tsung‐Ning Huang, Shun-Long Weng and Nan‐Chang Chiu and has published in prestigious journals such as Journal of Medical Internet Research, PeerJ and Frontiers in Public Health.

In The Last Decade

Co-authorship network of co-authors of Yu‐Lin Tai i

Fields of papers citing papers by Yu‐Lin Tai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Lin Tai. 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‐Lin Tai. The network helps show where Yu‐Lin Tai may publish in the future.

Countries citing papers authored by Yu‐Lin Tai

Since Specialization
Citations

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

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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2025