Mingjun Xu

495 citations
28 papers · 375 · h-index 14

Impact in

Papers in

Mingjun Xu

27 papers receiving 364 citations

Peers

Mingjun Xu
Comparison fields: 5 of 55
  • Safety, Risk, Reliability and Quality 125
  • Computational Mechanics 212
  • Surfaces, Coatings and Films 57
  • Statistics, Probability and Uncertainty 38
  • Aerospace Engineering 120
Replace Céline Lapuerta with:
Céline Lapuerta France
Rui Gu China
J. Lee United States
Ali Heidari United Kingdom
J.E.R. Coney United Kingdom
S. S. Abdurakipov Russia
C. E. Polymeropoulos United States
Mingjun Xu relative to Céline Lapuerta France Céline Lapuerta's profile →
Citations per field
00.5×10×15×19×
Céline Lapuerta · 1×
Citations per year

Countries citing papers authored by Mingjun Xu

Since Specialization
Citations

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

Fields of papers citing papers by Mingjun Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201838
2 201630
3 202328
4 201627
5 202126
6 201725
7 201725
8 201722
9 201921
10 201820
11 201918
12 202316
13 201715
14 202313
15 20249
16 20178
17 20186
18 20235
19 20225
20 20233

About Mingjun Xu

Mingjun Xu is a scholar working on Computational Mechanics, Safety, Risk, Reliability and Quality, Electrical and Electronic Engineering, Aerospace Engineering and Computer Vision and Pattern Recognition, having authored 28 papers that have together received 375 indexed citations. Recurring topics across this work include Fluid Dynamics and Heat Transfer (11 papers), Combustion and flame dynamics (8 papers), Fluid Dynamics Simulations and Interactions (7 papers), Fire dynamics and safety research (7 papers), Combustion and Detonation Processes (4 papers), Advanced Combustion Engine Technologies (3 papers), Surface Modification and Superhydrophobicity (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (125 citations), Computational Mechanics (212 citations), Surfaces, Coatings and Films (57 citations), Statistics, Probability and Uncertainty (38 citations) and Aerospace Engineering (120 citations). Mingjun Xu has collaborated with scholars based in China, Canada and Singapore. Frequent co-authors include Shouxiang Lu, Changjian Wang, Jiaqing Zhang, Ruiyu Chen, Xuxu Sun, Shiliang Pu, Lei Zhang, Weijie Chen, Quan Li and G. Ciccarelli. Their work appears in journals such as International Journal of Heat and Mass Transfer, Experimental Thermal and Fluid Science, International Journal of Hydrogen Energy, International Journal of Thermal Sciences and IEEE Transactions on Image Processing.

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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