Run Hong
Impact in
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- Advanced Combustion Engine Technologies
- Computational Mechanics top 10%
- Combustion and flame dynamics
Papers in
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- Advanced Combustion Engine Technologies 11
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- Catalytic Processes in Materials Science 6
- Carbon Nanotubes in Composites 5
- Graphene research and applications 4
- Co-authors
- Huaqiang Chu (17 shared papers)Bingbing Qiu (7 shared papers)Wenlong Dong (7 shared papers)Fen Qiao (2 shared papers)Longfei Chen (1 shared paper)Weiwei Han (1 shared paper)Xianyao Yan (1 shared paper)Dongyang Wang (3 shared papers)
- Journals
- Fuel (7 papers)Journal of the Energy Institute (2 papers)International Journal of RF and Microwave Computer-Aided Engineering (1 paper)International Journal of Heat and Fluid Flow (1 paper)Combustion and Flame (1 paper)
- Partner nations
- ChinaSouth KoreaBelgium
In The Last Decade
Run Hong
16 papers receiving 258 citations
Peers
Comparison fields: 5 of 32
- Fluid Flow and Transfer Processes 168
- Computational Mechanics 100
- Automotive Engineering 54
- Materials Chemistry 116
- Aerospace Engineering 41
Countries citing papers authored by Run Hong
This map shows the geographic impact of Run Hong'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 Run Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Run Hong more than expected).
Fields of papers citing papers by Run Hong
This network shows the impact of papers produced by Run Hong. 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 Run Hong. The network helps show where Run Hong may publish in the future.
Co-authors
The 20 scholars most cited alongside Run Hong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 63 | |
| 2 | 2023 | 54 | |
| 3 | 2023 | 39 | |
| 4 | 2024 | 29 | |
| 5 | 2024 | 19 | |
| 6 | 2024 | 10 | |
| 7 | 2025 | 10 | |
| 8 | 2024 | 8 | |
| 9 | 2024 | 7 | |
| 10 | 2022 | 7 | |
| 11 | 2024 | 6 | |
| 12 | 2025 | 4 | |
| 13 | 2025 | 3 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 0 | |
| 18 | 2022 | 0 | |
| 19 | 2025 | 0 |
About Run Hong
Run Hong is a scholar working on Fluid Flow and Transfer Processes, Materials Chemistry, Organic Chemistry, Computational Mechanics and Automotive Engineering, having authored 19 papers that have together received 262 indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (11 papers), Catalytic Processes in Materials Science (6 papers), Combustion and flame dynamics (5 papers), Fullerene Chemistry and Applications (5 papers), Carbon Nanotubes in Composites (5 papers), Vehicle emissions and performance (4 papers), Atmospheric chemistry and aerosols (4 papers) and Graphene research and applications (4 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (168 citations), Computational Mechanics (100 citations), Automotive Engineering (54 citations), Materials Chemistry (116 citations) and Aerospace Engineering (41 citations). Run Hong has collaborated with scholars based in China, South Korea and Belgium. Frequent co-authors include Huaqiang Chu, Bingbing Qiu, Wenlong Dong, Fen Qiao, Longfei Chen, Weiwei Han, Xianyao Yan, Longfei Chen, Dongyang Wang and Hanfang Zhang. Their work appears in journals such as Fuel, Journal of the Energy Institute, International Journal of RF and Microwave Computer-Aided Engineering, International Journal of Heat and Fluid Flow and Combustion and Flame.
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.