Yuan Bai

76 papers and 607 indexed citations i.

About

Yuan Bai is a scholar working on Epidemiology, Modeling and Simulation and Infectious Diseases. According to data from OpenAlex, Yuan Bai has authored 76 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Epidemiology, 25 papers in Modeling and Simulation and 25 papers in Infectious Diseases. Recurrent topics in Yuan Bai’s work include COVID-19 epidemiological studies (25 papers), SARS-CoV-2 and COVID-19 Research (21 papers) and Congenital Heart Disease Studies (14 papers). Yuan Bai is often cited by papers focused on COVID-19 epidemiological studies (25 papers), SARS-CoV-2 and COVID-19 Research (21 papers) and Congenital Heart Disease Studies (14 papers). Yuan Bai collaborates with scholars based in China, Hong Kong and United Kingdom. Yuan Bai's co-authors include Zhanwei Du, Benjamin J. Cowling, Lin Wang, Lauren Ancel Meyers, Eric H. Y. Lau, Yongwen Qin, Alison P. Galvani, Matteo Chinazzi, Alessandro Vespignani and Abhishek Pandey and has published in prestigious journals such as The Lancet, Nature Medicine and Clinical Infectious Diseases.

In The Last Decade

Co-authorship network of co-authors of Yuan Bai i

Fields of papers citing papers by Yuan Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuan Bai. 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 Yuan Bai. The network helps show where Yuan Bai may publish in the future.

Countries citing papers authored by Yuan Bai

Since Specialization
Citations

This map shows the geographic impact of Yuan Bai'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 Yuan Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuan Bai 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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