Shangbing Ai

32 papers and 510 indexed citations i.

About

Shangbing Ai is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Genetics. According to data from OpenAlex, Shangbing Ai has authored 32 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Public Health, Environmental and Occupational Health, 11 papers in Modeling and Simulation and 9 papers in Genetics. Recurrent topics in Shangbing Ai’s work include Mathematical and Theoretical Epidemiology and Ecology Models (14 papers), Mathematical Biology Tumor Growth (9 papers) and Nonlinear Dynamics and Pattern Formation (8 papers). Shangbing Ai is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (14 papers), Mathematical Biology Tumor Growth (9 papers) and Nonlinear Dynamics and Pattern Formation (8 papers). Shangbing Ai collaborates with scholars based in United States, China and Canada. Shangbing Ai's co-authors include Jia Li, Liming Cai, Wenzhang Huang, S. P. Hastings, Jia Li, Guihong Fan, Liming Cai, Rui Peng, Yihong Du and Jia Li and has published in prestigious journals such as Physica D Nonlinear Phenomena, Journal of Mathematical Analysis and Applications and Transactions of the American Mathematical Society.

In The Last Decade

Co-authorship network of co-authors of Shangbing Ai i

Fields of papers citing papers by Shangbing Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shangbing Ai

Since Specialization
Citations

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