Zhenyang Ming
Impact in
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- Advanced Combustion Engine Technologies
- Computational Mechanics top 5%
- Combustion and flame dynamics
- Heat transfer and supercritical fluids
Papers in
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- Advanced Combustion Engine Technologies 20
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- Combustion and flame dynamics 15
- Heat transfer and supercritical fluids 3
- Co-authors
- Yanqing Cui (17 shared papers)Haifeng Liu (19 shared papers)Mingsheng Wen (17 shared papers)Mingfa Yao (17 shared papers)Lei Feng (8 shared papers)Zunqing Zheng (5 shared papers)Zongyu Yue (5 shared papers)Chao Jin (6 shared papers)
- Journals
- Fuel (4 papers)Combustion and Flame (3 papers)Energy (3 papers)Fuel Processing Technology (3 papers)Physics of Fluids (1 paper)
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Zhenyang Ming
19 papers receiving 392 citations
Peers
Comparison fields: 5 of 59
- Fluid Flow and Transfer Processes 303
- Computational Mechanics 187
- Automotive Engineering 106
- Materials Chemistry 122
- Biomedical Engineering 112
Countries citing papers authored by Zhenyang Ming
This map shows the geographic impact of Zhenyang Ming'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 Zhenyang Ming with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenyang Ming more than expected).
Fields of papers citing papers by Zhenyang Ming
This network shows the impact of papers produced by Zhenyang Ming. 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 Zhenyang Ming. The network helps show where Zhenyang Ming may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhenyang Ming, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 71 | |
| 2 | 2021 | 53 | |
| 3 | 2022 | 40 | |
| 4 | 2023 | 34 | |
| 5 | 2022 | 31 | |
| 6 | 2023 | 30 | |
| 7 | 2022 | 27 | |
| 8 | 2021 | 26 | |
| 9 | 2024 | 20 | |
| 10 | 2023 | 16 | |
| 11 | 2023 | 12 | |
| 12 | 2021 | 11 | |
| 13 | 2022 | 7 | |
| 14 | 2024 | 6 | |
| 15 | 2024 | 6 | |
| 16 | 2024 | 6 | |
| 17 | 2024 | 5 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 0 |
About Zhenyang Ming
Zhenyang Ming is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics, Automotive Engineering, Aerospace Engineering and Materials Chemistry, having authored 21 papers that have together received 403 indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (20 papers), Combustion and flame dynamics (15 papers), Catalytic Processes in Materials Science (5 papers), Vehicle emissions and performance (5 papers), Biodiesel Production and Applications (4 papers), Heat transfer and supercritical fluids (3 papers), Combustion and Detonation Processes (3 papers) and Fire dynamics and safety research (2 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (303 citations), Computational Mechanics (187 citations), Automotive Engineering (106 citations), Materials Chemistry (122 citations) and Biomedical Engineering (112 citations). Zhenyang Ming has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Yanqing Cui, Haifeng Liu, Mingsheng Wen, Mingfa Yao, Lei Feng, Zunqing Zheng, Zongyu Yue, Chao Jin, Zhao Zhang and Long Liu. Their work appears in journals such as Fuel, Combustion and Flame, Energy, Fuel Processing Technology and Physics of Fluids.
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.