Minjun Peng

1.7k citations
128 papers · 1.2k · 1 hit paper · h-index 21

Impact in

Papers in

Minjun Peng

114 papers receiving 1.2k citations

Minjun Peng's Hit Papers

Interpretability study of a typical fault diagnosis model for nuclear power plant primary circuit based on a graph neural network 2025 · 25 citations
250Years since publication510152025

Peers

Minjun Peng
Comparison fields: 5 of 84
  • Statistics, Probability and Uncertainty 164
  • Aerospace Engineering 540
  • Control and Systems Engineering 303
  • Computational Mechanics 241
  • Mechanical Engineering 332
Replace Shuiting Ding with:
Shuiting Ding China
Y. G. Li United Kingdom
Xiaojin Huang China
Koroush Shirvan United States
A. Zolfaghari Iran
Riti Singh United Kingdom
Hadi Davilu Iran
Xiao Cai China
Shilie Weng China
Minjun Peng relative to Shuiting Ding China Shuiting Ding's profile →
Citations per field
00.5×1.5×2.5×
Shuiting Ding · 1×
Citations per year

Countries citing papers authored by Minjun Peng

Since Specialization
Citations

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

Fields of papers citing papers by Minjun Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201359
2 201853
3 201952
4 201749
5 202043
6 201241
7 202035
8 201431
9 201830
10 201728
11 201828
12 201927
13 201226
14
Interpretability study of a typical fault diagnosis model for nuclear power plant primary circuit based on a graph neural network
Hit paper breakdown →
202525
15 201823
16 201923
17 201723
18 202521
19 201621
20 202520

About Minjun Peng

Minjun Peng is a scholar working on Aerospace Engineering, Control and Systems Engineering, Materials Chemistry, Mechanical Engineering and Statistics, Probability and Uncertainty, having authored 128 papers that have together received 1.2k indexed citations. Recurring topics across this work include Nuclear Engineering Thermal-Hydraulics (66 papers), Nuclear reactor physics and engineering (51 papers), Fault Detection and Control Systems (27 papers), Nuclear Materials and Properties (25 papers), Risk and Safety Analysis (18 papers), Heat Transfer and Boiling Studies (16 papers), Heat transfer and supercritical fluids (15 papers) and Fluid Dynamics and Mixing (9 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (164 citations), Aerospace Engineering (540 citations), Control and Systems Engineering (303 citations), Computational Mechanics (241 citations) and Mechanical Engineering (332 citations). Minjun Peng has collaborated with scholars based in China, Saudi Arabia and Hong Kong. Frequent co-authors include Genglei Xia, Wei Li, Qingzhong Wang, Tenglong Cong, Hang Wang, Yuandong Zhang, Salah Ud‐Din Khan, G.H. Su, Xing Lv and Shahab Ud‐Din Khan. Their work appears in journals such as Annals of Nuclear Energy, Nuclear Engineering and Design, Progress in Nuclear Energy, Nuclear Engineering and Technology and Applied Thermal 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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