Mingxin Wang

6.8k citations
256 papers · 5.1k · h-index 40

Impact in

Papers in

Mingxin Wang

235 papers receiving 4.8k citations

Peers

Mingxin Wang
Comparison fields: 5 of 124
  • Modeling and Simulation 2.2k
  • Applied Mathematics 1.5k
  • Public Health, Environmental and Occupational Health 3.8k
  • Mathematical Physics 873
  • Numerical Analysis 425
Replace Yihong Du with:
Yihong Du Australia
Wenxian Shen United States
Jong‐Shenq Guo Taiwan
C. V. Pao United States
Zhigui Lin China
Rui Peng China
G. Ladas United States
Joseph W.-H. So Canada
Julián López-Gómez Spain
Sze‐Bi Hsu Taiwan
Mingxin Wang relative to Yihong Du Australia Yihong Du's profile →
Citations per field
00.5×1.5×
Yihong Du · 1×
Citations per year

Countries citing papers authored by Mingxin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Mingxin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 256 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004187
2 2003143
3 2008138
4 2014131
5 2003120
6 2014118
7 2015108
8 2004106
9 2015105
10 2008105
11 199694
12 200490
13 200588
14 201486
15 201385
16 201977
17 200576
18 200776
19 200669
20 201669

About Mingxin Wang

Mingxin Wang is a scholar working on Public Health, Environmental and Occupational Health, Applied Mathematics, Modeling and Simulation, Mathematical Physics and Computational Theory and Mathematics, having authored 256 papers that have together received 5.1k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (139 papers), Nonlinear Differential Equations Analysis (61 papers), Mathematical Biology Tumor Growth (59 papers), Nonlinear Partial Differential Equations (59 papers), Evolution and Genetic Dynamics (56 papers), Advanced Mathematical Modeling in Engineering (56 papers), Stability and Controllability of Differential Equations (50 papers) and Advanced Mathematical Physics Problems (33 papers). The work is most often cited by research in Modeling and Simulation (2.2k citations), Applied Mathematics (1.5k citations), Public Health, Environmental and Occupational Health (3.8k citations), Mathematical Physics (873 citations) and Numerical Analysis (425 citations). Mingxin Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Peter Y. H. Pang, Rui Peng, Jingfu Zhao, Guangying Lv, Yihong Du, Jianping Wang, Junping Shi, Wenjie Ni, Yuan-Ming Wang and Yuanwei Qi. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Nonlinear Analysis Real World Applications, Journal of Differential Equations, Discrete and Continuous Dynamical Systems - B and Zeitschrift für angewandte Mathematik und Physik.

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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