Pengfei Song

19 papers and 677 indexed citations i.

About

Pengfei Song is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, Pengfei Song has authored 19 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Modeling and Simulation, 9 papers in Public Health, Environmental and Occupational Health and 6 papers in Genetics. Recurrent topics in Pengfei Song’s work include COVID-19 epidemiological studies (10 papers), Mathematical and Theoretical Epidemiology and Ecology Models (9 papers) and Evolution and Genetic Dynamics (6 papers). Pengfei Song is often cited by papers focused on COVID-19 epidemiological studies (10 papers), Mathematical and Theoretical Epidemiology and Ecology Models (9 papers) and Evolution and Genetic Dynamics (6 papers). Pengfei Song collaborates with scholars based in China, United States and Canada. Pengfei Song's co-authors include Besim Öğretmen, Sahar A. Saddoughi, Yanni Xiao, Yuan Lou, Can E. Senkal, Rosalie C. Sears, Hugh Arnold, Suriyan Ponnusamy, Iyad Sultan and C.F. Snook and has published in prestigious journals such as The FASEB Journal, Sensors and Actuators B Chemical and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Pengfei Song i

Fields of papers citing papers by Pengfei Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pengfei Song

Since Specialization
Citations

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