Yan Long
Impact in
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- Advanced Combustion Engine Technologies
- Automotive Engineering top 5%
- Vehicle emissions and performance
Papers in
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- Advanced Combustion Engine Technologies 9
-
- Combustion and flame dynamics 5
- Co-authors
- Zhi Wang (8 shared papers)Jianxin Wang (6 shared papers)Hui Liu (6 shared papers)Xin He (2 shared papers)Hui Liu (1 shared paper)Scott W. Wagnon (1 shared paper)Yunliang Qi (3 shared papers)Mohammad Fatouraie (1 shared paper)
- Journals
- SAE technical papers on CD-ROM/SAE technical paper series (5 papers)Energy (2 papers)Fuel (2 papers)Journal of NeuroInterventional Surgery (2 papers)Applied Sciences (1 paper)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Yan Long
15 papers receiving 389 citations
Peers
Comparison fields: 5 of 43
- Fluid Flow and Transfer Processes 332
- Automotive Engineering 162
- Computational Mechanics 157
- Biomedical Engineering 163
- Aerospace Engineering 69
Countries citing papers authored by Yan Long
This map shows the geographic impact of Yan Long'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 Yan Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Long more than expected).
Fields of papers citing papers by Yan Long
This network shows the impact of papers produced by Yan Long. 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 Yan Long. The network helps show where Yan Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Long, 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 | 2015 | 83 | |
| 2 | 2015 | 63 | |
| 3 | 2015 | 62 | |
| 4 | 2015 | 55 | |
| 5 | 2015 | 41 | |
| 6 | 2016 | 30 | |
| 7 | 2021 | 19 | |
| 8 | 2016 | 18 | |
| 9 | 2020 | 13 | |
| 10 | 2016 | 5 | |
| 11 | 2023 | 3 | |
| 12 | 2015 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2016 | 1 |
About Yan Long
Yan Long is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics, Biomedical Engineering, Automotive Engineering and Materials Chemistry, having authored 15 papers that have together received 400 indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (9 papers), Combustion and flame dynamics (5 papers), Biodiesel Production and Applications (5 papers), Vehicle emissions and performance (3 papers), Catalytic Processes in Materials Science (2 papers), Space Science and Extraterrestrial Life (1 paper), Water-Energy-Food Nexus Studies (1 paper) and Energy and Environment Impacts (1 paper). The work is most often cited by research in Fluid Flow and Transfer Processes (332 citations), Automotive Engineering (162 citations), Computational Mechanics (157 citations), Biomedical Engineering (163 citations) and Aerospace Engineering (69 citations). Yan Long has collaborated with scholars based in China, United States and India. Frequent co-authors include Zhi Wang, Jianxin Wang, Hui Liu, Xin He, Hui Liu, Scott W. Wagnon, Yunliang Qi, Mohammad Fatouraie, Yinhui Wang and Ashutosh Gupta. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Energy, Fuel, Journal of NeuroInterventional Surgery and Applied Sciences.
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.