Mingjun Wei

1.2k citations
73 papers · 964 · h-index 16

Impact in

Papers in

Mingjun Wei

71 papers receiving 944 citations

Peers

Mingjun Wei
Comparison fields: 5 of 45
  • Statistical and Nonlinear Physics 283
  • Aerospace Engineering 530
  • Computational Mechanics 259
  • Fluid Flow and Transfer Processes 7
  • Applied Mathematics 13
Replace Jürgen Seidel with:
Jürgen Seidel United States
Yiyang Sun United States
Olivier Marquet France
Guillaume Daviller France
James R. DeBonis United States
Lutz Lesshafft France
Stefania Cherubini Italy
Andrew R. Crowell United States
Shivaji Medida United States
Fuyu Zhong China
Mingjun Wei relative to Jürgen Seidel United States Jürgen Seidel's profile →
Citations per field
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Jürgen Seidel · 1×
Citations per year

Countries citing papers authored by Mingjun Wei

Since Specialization
Citations

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

Fields of papers citing papers by Mingjun Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005146
2 2016101
3 201048
4 201037
5 201636
6 200835
7 201535
8 200731
9 200030
10 200628
11 201225
12 201525
13 202121
14 201219
15 201919
16 201417
17
Jet noise control by adjoint-based optimization
200416
18 201316
19 201015
20 201614

About Mingjun Wei

Mingjun Wei is a scholar working on Statistical and Nonlinear Physics, Aerospace Engineering, Computational Mechanics, Applied Mathematics and General Materials Science, having authored 73 papers that have together received 964 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (25 papers), Biomimetic flight and propulsion mechanisms (21 papers), Aerodynamics and Acoustics in Jet Flows (14 papers), Fluid Dynamics and Turbulent Flows (11 papers), Computational Fluid Dynamics and Aerodynamics (7 papers), Granular flow and fluidized beds (3 papers), Gas Dynamics and Kinetic Theory (3 papers) and Fluid Dynamics and Vibration Analysis (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (283 citations), Aerospace Engineering (530 citations), Computational Mechanics (259 citations), Fluid Flow and Transfer Processes (7 citations) and Applied Mathematics (13 citations). Mingjun Wei has collaborated with scholars based in United States, China and France. Frequent co-authors include Jonathan B. Freund, Mostafa Hassanalian, Abdessattar Abdelkefi, Saeed Ziaei‐Rad, Clarence W. Rowley, Haotian Gao, Haibo Dong, Hong Zhao, Peter Jordan and Bashar R. Qawasmeh. Their work appears in journals such as Journal of Fluid Mechanics, AIAA Journal, Physics of Fluids, Physical Review Fluids and International Journal for Numerical Methods in Engineering.

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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