Chunde Yao
Impact in
- Fluid Flow and Transfer Processes top 0.05%
- Advanced Combustion Engine Technologies
- Automotive Engineering top 0.2%
- Vehicle emissions and performance
Papers in
-
- Advanced Combustion Engine Technologies 72
-
- Vehicle emissions and performance 42
- Co-authors
- Anren Yao (35 shared papers)Pan Wang (9 shared papers)Quangang Wang (8 shared papers)Guopeng Han (8 shared papers)Lijiang Wei (4 shared papers)Junheng Liu (3 shared papers)Hongyuan Wei (10 shared papers)Taoyang Wu (14 shared papers)
- Journals
- Fuel (35 papers)Applied Energy (7 papers)Energy & Fuels (6 papers)Energy Conversion and Management (5 papers)Applied Thermal Engineering (4 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Chunde Yao
80 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 61
- Fluid Flow and Transfer Processes 3.1k
- Automotive Engineering 1.6k
- Computational Mechanics 1.2k
- Biomedical Engineering 1.8k
- Materials Chemistry 1.1k
Countries citing papers authored by Chunde Yao
This map shows the geographic impact of Chunde Yao'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 Chunde Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunde Yao more than expected).
Fields of papers citing papers by Chunde Yao
This network shows the impact of papers produced by Chunde Yao. 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 Chunde Yao. The network helps show where Chunde Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside Chunde Yao, 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 231 | |
| 2 | 2008 | 217 | |
| 3 | 2014 | 195 | |
| 4 | 2015 | 160 | |
| 5 | 2015 | 139 | |
| 6 | 2017 | 132 | |
| 7 | 2014 | 125 | |
| 8 | 2016 | 114 | |
| 9 | 2014 | 111 | |
| 10 | 2011 | 98 | |
| 11 | 2016 | 86 | |
| 12 | 2014 | 86 | |
| 13 | 2015 | 66 | |
| 14 | 2020 | 63 | |
| 15 | 2020 | 60 | |
| 16 | 2013 | 58 | |
| 17 | 2018 | 58 | |
| 18 | 2016 | 57 | |
| 19 | 2015 | 57 | |
| 20 | 2015 | 56 |
About Chunde Yao
Chunde Yao is a scholar working on Fluid Flow and Transfer Processes, Automotive Engineering, Computational Mechanics, Biomedical Engineering and Materials Chemistry, having authored 82 papers that have together received 3.5k indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (72 papers), Vehicle emissions and performance (42 papers), Combustion and flame dynamics (29 papers), Biodiesel Production and Applications (25 papers), Catalytic Processes in Materials Science (22 papers), Combustion and Detonation Processes (15 papers), Energetic Materials and Combustion (8 papers) and Heat transfer and supercritical fluids (5 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (3.1k citations), Automotive Engineering (1.6k citations), Computational Mechanics (1.2k citations), Biomedical Engineering (1.8k citations) and Materials Chemistry (1.1k citations). Chunde Yao has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Anren Yao, Pan Wang, Quangang Wang, Guopeng Han, Lijiang Wei, Junheng Liu, Hongyuan Wei, Taoyang Wu, Chao Chen and Jian Gao. Their work appears in journals such as Fuel, Applied Energy, Energy & Fuels, Energy Conversion and Management and Applied Thermal Engineering.
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.