Xiaoping Wen

67 papers receiving 829 citations

Peers

Xiaoping Wen
Comparison fields: 5 of 72
  • Safety, Risk, Reliability and Quality 279
  • Fluid Flow and Transfer Processes 174
  • Statistics, Probability and Uncertainty 176
  • Aerospace Engineering 476
  • Computational Mechanics 272
Replace Chi Keung Man with:
Chi Keung Man United Kingdom
Dehai Yu China
Farid Christo Australia
Yu Xia China
Takamasa Ito Japan
Shintaro Takahashi Japan
Seyyed Mohammad Jokar Iran
Yeseul Park South Korea
Daniel E. Dedrick United States
Kuniaki Gotoh Japan
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Citations per field
00.5×10.7×
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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 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201876
2 202258
3 201545
4 202044
5 202042
6 201640
7 202338
8 202328
9 202226
10 202126
11 202325
12 202323
13 202221
14 200320
15 202218
16 202115
17 202215
18 201615
19 202114
20 202314

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 72 papers that have together received 835 indexed citations. Recurring topics across this work include Combustion and Detonation Processes (30 papers), Combustion and flame dynamics (30 papers), Advanced Combustion Engine Technologies (19 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 Catalytic Processes in Materials Science (4 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (279 citations), Fluid Flow and Transfer Processes (174 citations), Statistics, Probability and Uncertainty (176 citations), Aerospace Engineering (476 citations) and Computational Mechanics (272 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, Fahui Wang, Minggao Yu, Anchao Zhang, Sumei Zhang, Siyu Zhang and Ligang 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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