Xiaoping Wen

65 papers receiving 751 citations

Peers

Xiaoping Wen
Comparison fields: 5 of 71
  • Safety, Risk, Reliability and Quality 273
  • Fluid Flow and Transfer Processes 161
  • Statistics, Probability and Uncertainty 171
  • Aerospace Engineering 444
  • Computational Mechanics 254
Replace Dehai Yu with:
Dehai Yu China
Yu Xia China
Norimichi Watanabe Japan
Remi Trottier Canada
Takamasa Ito Japan
Lucas Rye United Kingdom
Jiliang Ma China
Pedro R. Resende Portugal
Guansheng Qi China
David J. Bayless United States
Xiaoping Wen relative to Dehai Yu China Dehai Yu's profile →
Citations per field
00.5×10×17.1×
Dehai Yu · 1×
Citations per year

Countries citing papers authored by Xiaoping Wen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoping Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201876
2 202251
3 201545
4 202043
5 202042
6 201639
7 202334
8 202327
9 202226
10 202123
11 202321
12 202320
13 202220
14 200319
15 202115
16 202215
17 202114
18 202214
19 201614
20 202313

About Xiaoping Wen

Xiaoping Wen is a scholar working on Aerospace Engineering, Computational Mechanics, Fluid Flow and Transfer Processes, Safety, Risk, Reliability and Quality and Biomedical Engineering, having authored 70 papers that have together received 760 indexed citations. Recurring topics across this work include Combustion and Detonation Processes (30 papers), Combustion and flame dynamics (29 papers), Advanced Combustion Engine Technologies (18 papers), Fire dynamics and safety research (17 papers), Thermochemical Biomass Conversion Processes (7 papers), Risk and Safety Analysis (6 papers), Energetic Materials and Combustion (5 papers) and Lung Cancer Treatments and Mutations (5 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (273 citations), Fluid Flow and Transfer Processes (161 citations), Statistics, Probability and Uncertainty (171 citations), Aerospace Engineering (444 citations) and Computational Mechanics (254 citations). Xiaoping Wen has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Haoxin Deng, Guoyan Chen, Wentao Ji, Zhidong Guo, Minggao Yu, Fahui Wang, Anchao Zhang, Sumei Zhang, Ligang Zheng and Kai Zheng. Their work appears in journals such as International Journal of Hydrogen Energy, ACS Omega, Journal of the Energy Institute, Fuel and Process Safety and Environmental Protection.

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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