Ming Mei

110 papers and 1.9k indexed citations i.

About

Ming Mei is a scholar working on Applied Mathematics, Mathematical Physics and Computational Mechanics. According to data from OpenAlex, Ming Mei has authored 110 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Applied Mathematics, 44 papers in Mathematical Physics and 25 papers in Computational Mechanics. Recurrent topics in Ming Mei’s work include Mathematical Modeling of Fluid Dynamics (60 papers), Advanced Mathematical Physics Problems (38 papers) and Computational Fluid Dynamics and Aerodynamics (23 papers). Ming Mei is often cited by papers focused on Mathematical Modeling of Fluid Dynamics (60 papers), Advanced Mathematical Physics Problems (38 papers) and Computational Fluid Dynamics and Aerodynamics (23 papers). Ming Mei collaborates with scholars based in Canada, China and Italy. Ming Mei's co-authors include Chi-Kun Lin, Joseph W.-H. So, Chi-Tien Lin, Yong Wang, Akitaka Matsumura, Feimin Huang, Kai‐Jun Zhang, Bruno Rubino, Pierangelo Marcati and Hai-Liang Li and has published in prestigious journals such as Applied Physics Letters, Frontiers in Microbiology and Medicine.

In The Last Decade

Co-authorship network of co-authors of Ming Mei i

Fields of papers citing papers by Ming Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ming Mei

Since Specialization
Citations

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