Jun Deng

2.0k citations
149 papers · 1.6k · h-index 21

Impact in

Papers in

Jun Deng

145 papers receiving 1.6k citations

Peers

Jun Deng
Comparison fields: 5 of 72
  • Fluid Flow and Transfer Processes 1.2k
  • Automotive Engineering 444
  • Computational Mechanics 711
  • Aerospace Engineering 260
  • Biomedical Engineering 441
Replace Zhijun Wu with:
Zhijun Wu China
Wenbin Yu Singapore
Wuqiang Long China
Ronald D. Matthews United States
Simona Silvia Merola Italy
Kwang Min Chun South Korea
Michele Battistoni Italy
Paolo Sementa Italy
Leilei Xu China
Jun Deng relative to Zhijun Wu China Zhijun Wu's profile →
Citations per field
00.5×1.5×
Zhijun Wu · 1×
Citations per year

Countries citing papers authored by Jun Deng

Since Specialization
Citations

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

Fields of papers citing papers by Jun Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 149 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009125
2 201460
3 200844
4 201735
5 201933
6 201832
7 201432
8 201531
9 202430
10 202028
11 200628
12 201227
13 201824
14 201522
15 201822
16 201522
17 201721
18 201321
19 201320
20 201620

About Jun Deng

Jun Deng is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics, Automotive Engineering, Biomedical Engineering and Materials Chemistry, having authored 149 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (110 papers), Combustion and flame dynamics (63 papers), Vehicle emissions and performance (35 papers), Biodiesel Production and Applications (32 papers), Catalytic Processes in Materials Science (24 papers), Combustion and Detonation Processes (17 papers), Heat transfer and supercritical fluids (13 papers) and Plasma Applications and Diagnostics (11 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (1.2k citations), Automotive Engineering (444 citations), Computational Mechanics (711 citations), Aerospace Engineering (260 citations) and Biomedical Engineering (441 citations). Jun Deng has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Liguang Li, Zhijun Wu, Zongjie Hu, Xiao Yu, Chunwang Li, Liming He, Yuan Gao, Zhehao Zhang, Yi Chen and Xusheng Zhang. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Fuel, International Journal of Hydrogen Energy, Applied Energy and Automotive Innovation.

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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