Yao Sun
Impact in
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- Advanced Combustion Engine Technologies
- Automotive Engineering top 2%
- Vehicle emissions and performance
Papers in
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- Vehicle emissions and performance 17
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- Advanced Combustion Engine Technologies 17
- Co-authors
- Xiumin Yu (10 shared papers)Yaodong Du (4 shared papers)Haiming Wu (3 shared papers)Wei Dong (3 shared papers)Linlin Jiang (1 shared paper)Lin Liu (1 shared paper)Arvind Malhotra (5 shared papers)Ann Majchrzak (5 shared papers)
- Journals
- Fuel (4 papers)International Journal of Hydrogen Energy (3 papers)Journal of the Association for Information Systems (2 papers)Applied Thermal Engineering (2 papers)IEEE Transactions on Intelligent Vehicles (2 papers)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Yao Sun
34 papers receiving 562 citations
Peers
Comparison fields: 5 of 56
- Fluid Flow and Transfer Processes 429
- Automotive Engineering 315
- Computer Science Applications 32
- Energy Engineering and Power Technology 17
- Computational Mechanics 111
Countries citing papers authored by Yao Sun
This map shows the geographic impact of Yao Sun'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 Yao Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yao Sun more than expected).
Fields of papers citing papers by Yao Sun
This network shows the impact of papers produced by Yao Sun. 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 Yao Sun. The network helps show where Yao Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Yao Sun, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 125 | |
| 2 | 2017 | 83 | |
| 3 | 2016 | 57 | |
| 4 | 2016 | 43 | |
| 5 | 2018 | 41 | |
| 6 | 2020 | 34 | |
| 7 | 2020 | 28 | |
| 8 | 2017 | 26 | |
| 9 | 2018 | 23 | |
| 10 | 2022 | 15 | |
| 11 | 2018 | 13 | |
| 12 | 2014 | 12 | |
| 13 | 2023 | 9 | |
| 14 | 2023 | 7 | |
| 15 | 2016 | 7 | |
| 16 | 2023 | 5 | |
| 17 | 2024 | 5 | |
| 18 | 2024 | 5 | |
| 19 | 2024 | 5 | |
| 20 | 2024 | 3 |
About Yao Sun
Yao Sun is a scholar working on Automotive Engineering, Fluid Flow and Transfer Processes, Materials Chemistry, Computer Science Applications and Biomedical Engineering, having authored 40 papers that have together received 572 indexed citations. Recurring topics across this work include Vehicle emissions and performance (17 papers), Advanced Combustion Engine Technologies (17 papers), Catalytic Processes in Materials Science (12 papers), Open Source Software Innovations (6 papers), Biodiesel Production and Applications (5 papers), Mobile Crowdsensing and Crowdsourcing (4 papers), Knowledge Management and Sharing (3 papers) and Combustion and flame dynamics (3 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (429 citations), Automotive Engineering (315 citations), Computer Science Applications (32 citations), Energy Engineering and Power Technology (17 citations) and Computational Mechanics (111 citations). Yao Sun has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Xiumin Yu, Yaodong Du, Haiming Wu, Wei Dong, Linlin Jiang, Lin Liu, Arvind Malhotra, Ann Majchrzak, Hong Chen and Yang Tang. Their work appears in journals such as Fuel, International Journal of Hydrogen Energy, Journal of the Association for Information Systems, Applied Thermal Engineering and IEEE Transactions on Intelligent Vehicles.
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.