Ming Wang

1.7k citations
109 papers · 1.2k · h-index 20

Impact in

Papers in

Ming Wang

97 papers receiving 1.1k citations

Peers

Ming Wang
Comparison fields: 5 of 114
  • Numerical Analysis 173
  • Mathematical Physics 243
  • Computational Theory and Mathematics 315
  • Computational Mechanics 406
  • Applied Mathematics 163
Replace Yanren Hou with:
Yanren Hou China
Roland Herzog Germany
Marián Slodička Belgium
Boris Vexler Germany
Eun‐Jae Park South Korea
Philip Schaefer United States
E. W. Sachs Germany
José Francisco Rodrigues Portugal
Shu Wang China
David Yang Gao United States
Ming Wang relative to Yanren Hou China Yanren Hou's profile →
Citations per field
00.5×1.5×2.3×
Yanren Hou · 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 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006103
2 202167
3 202159
4 200153
5 200751
6 201249
7 202437
8
SOME n-RECTANGLE NONCONFORMING ELEMENTS FOR FOURTH ORDER ELLIPTIC EQUATIONS
200737
9 201934
10
Modified Morley element method for a fourth order elliptic singular perturbation problem
200631
11 200630
12 201330
13 202227
14 201426
15 201224
16 202323
17 201423
18 201422
19 202222
20 201320

About Ming Wang

Ming Wang is a scholar working on Control and Systems Engineering, Mathematical Physics, Applied Mathematics, Computational Theory and Mathematics and Mechanics of Materials, having authored 109 papers that have together received 1.2k indexed citations. Recurring topics across this work include Stability and Controllability of Differential Equations (33 papers), Advanced Mathematical Physics Problems (33 papers), Navier-Stokes equation solutions (15 papers), Advanced Mathematical Modeling in Engineering (14 papers), Advanced Numerical Methods in Computational Mathematics (12 papers), Numerical methods in engineering (6 papers), Metallurgy and Material Forming (4 papers) and Numerical methods in inverse problems (4 papers). The work is most often cited by research in Numerical Analysis (173 citations), Mathematical Physics (243 citations), Computational Theory and Mathematics (315 citations), Computational Mechanics (406 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, Zhong‐Ci Shi, Jinchao Xu, Long Chen, Gengsheng Wang, Dongping He, Huidong Xu, Tao Wang and Zhifu Li. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Applied Mathematics Letters, Mathematical Methods in the Applied Sciences, Applied Mathematics and Mechanics and Journal of Differential Equations.

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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