Ming Wang

1.7k citations
110 papers · 1.2k · h-index 19

Impact in

Papers in

Ming Wang

95 papers receiving 1.1k citations

Peers

Ming Wang
Comparison fields: 5 of 113
  • Mathematical Physics 263
  • Numerical Analysis 139
  • Computational Mechanics 363
  • Computational Theory and Mathematics 294
  • Applied Mathematics 163
Replace Roland Herzog with:
Roland Herzog Germany
Marián Slodička Belgium
Yanren Hou China
Gérard Michaille France
Eun‐Jae Park South Korea
E. W. Sachs Germany
Huaian Diao China
Paul T. Nelson United States
Stephen Montgomery-Smith United States
Walter Zulehner Austria
Ming Wang relative to Roland Herzog Germany Roland Herzog's profile →
Citations per field
00.5×2×4×5.5×
Roland Herzog · 1×
Citations per year

Countries citing papers authored by Ming Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ming Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ming Wang, 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 Wang Line = papers co-authored together Ming Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006115
2 202170
3 202162
4 200755
5 201254
6 200153
7 201946
8 202440
9 201335
10 202231
11 200629
12 201426
13 202326
14 201225
15 202224
16 201423
17 201422
18 202522
19 201319
20 201918

About Ming Wang

Ming Wang is a scholar working on Mathematical Physics, Control and Systems Engineering, Applied Mathematics, Computational Theory and Mathematics and Mechanics of Materials, having authored 110 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Mathematical Physics Problems (35 papers), Stability and Controllability of Differential Equations (34 papers), Navier-Stokes equation solutions (15 papers), Advanced Mathematical Modeling in Engineering (13 papers), Advanced Numerical Methods in Computational Mathematics (10 papers), Numerical methods in engineering (6 papers), Metallurgy and Material Forming (4 papers) and Vibration and Dynamic Analysis (4 papers). The work is most often cited by research in Mathematical Physics (263 citations), Numerical Analysis (139 citations), Computational Mechanics (363 citations), Computational Theory and Mathematics (294 citations) and Applied Mathematics (163 citations). Ming Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jinchao Xu, Yanbin Tang, Long Chen, Gengsheng Wang, Huidong Xu, Zhong‐Ci Shi, Dongping He, Zhifu Li, Tao Wang and Jinchao Xu. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Mathematical Methods in the Applied Sciences, Applied Mathematics Letters, Journal of Differential Equations and Applied Mathematics and Mechanics.

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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