Junli Liu

50 papers and 723 indexed citations i.

About

Junli Liu is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Genetics. According to data from OpenAlex, Junli Liu has authored 50 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Public Health, Environmental and Occupational Health, 26 papers in Modeling and Simulation and 20 papers in Genetics. Recurrent topics in Junli Liu’s work include Mathematical and Theoretical Epidemiology and Ecology Models (37 papers), Evolution and Genetic Dynamics (20 papers) and COVID-19 epidemiological studies (17 papers). Junli Liu is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (37 papers), Evolution and Genetic Dynamics (20 papers) and COVID-19 epidemiological studies (17 papers). Junli Liu collaborates with scholars based in China, Canada and United States. Junli Liu's co-authors include Tailei Zhang, Zhidong Teng, Yicang Zhou, Jian Wu, Zhidong Teng, Huaiping Zhu, Jinqian Feng, Xiao‐Qiang Zhao, Guihong Fan and Fuxiang Li and has published in prestigious journals such as Journal of Theoretical Biology, Frontiers in Psychology and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Co-authorship network of co-authors of Junli Liu i

Fields of papers citing papers by Junli Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Junli Liu

Since Specialization
Citations

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