Ming Mei

2.8k citations
111 papers · 2.0k · h-index 25

Impact in

Papers in

    • Navier-Stokes equation solutions 61
    • Nonlinear Partial Differential Equations 13
    • Gas Dynamics and Kinetic Theory 12
    • Advanced Mathematical Physics Problems 40

Ming Mei

100 papers receiving 1.8k citations

Peers

Ming Mei
Comparison fields: 5 of 82
  • Applied Mathematics 1.3k
  • Mathematical Physics 824
  • Modeling and Simulation 357
  • Numerical Analysis 328
  • Computational Mechanics 477
Replace Nikolaï Nadirashvili with:
Nikolaï Nadirashvili France
Jean‐Michel Roquejoffre France
Jacek Banasiak South Africa
Jingxue Yin China
Chi-Kun Lin Taiwan
Andrej Zlatoš United States
Julio Daniel Rossi Spain
Alberto Tesei Italy
Jong‐Shenq Guo Taiwan
Régis Monneau France
Ming Mei relative to Nikolaï Nadirashvili France Nikolaï Nadirashvili's profile →
Citations per field
00.5×2×3.2×
Nikolaï Nadirashvili · 1×
Citations per year

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).

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.

Co-authors

The 25 scholars most cited alongside Ming Mei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ming Mei Line = papers co-authored together Ming Mei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009112
2 2009112
3 1999108
4 200276
5 200065
6 200864
7 201463
8 201156
9 200055
10 201154
11 201054
12 201550
13 200550
14 201248
15 201244
16 201042
17 199939
18 199839
19 201339
20 201938

About Ming Mei

Ming Mei is a scholar working on Applied Mathematics, Mathematical Physics, Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics, having authored 111 papers that have together received 2.0k indexed citations. Recurring topics across this work include Navier-Stokes equation solutions (61 papers), Advanced Mathematical Physics Problems (40 papers), Computational Fluid Dynamics and Aerodynamics (23 papers), Advanced Mathematical Modeling in Engineering (21 papers), Mathematical and Theoretical Epidemiology and Ecology Models (20 papers), Differential Equations and Numerical Methods (19 papers), Nonlinear Partial Differential Equations (13 papers) and Gas Dynamics and Kinetic Theory (12 papers). The work is most often cited by research in Applied Mathematics (1.3k citations), Mathematical Physics (824 citations), Modeling and Simulation (357 citations), Numerical Analysis (328 citations) and Computational Mechanics (477 citations). Ming Mei has collaborated with scholars based in Canada, China and Italy. Frequent co-authors include Chi-Kun Lin, Joseph W.-H. So, Chi-Tien Lin, Yong Wang, Akitaka Matsumura, Feimin Huang, Bruno Rubino, Kai‐Jun Zhang, Pierangelo Marcati and Hai-Liang Li. Their work appears in journals such as Journal of Differential Equations, SIAM Journal on Mathematical Analysis, Applied Mathematics Letters, Communications in Mathematical Sciences and Journal of Nonlinear Science.

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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