Chong Yao
Impact in
-
- Advanced Combustion Engine Technologies
- Automotive Engineering top 10%
- Vehicle emissions and performance
Papers in
-
- Advanced Combustion Engine Technologies 22
-
- Fault Detection and Control Systems 10
- Machine Fault Diagnosis Techniques 9
- Co-authors
- Enzhe Song (18 shared papers)Quan Dong (11 shared papers)Liping Yang (8 shared papers)Shun-Liang Ding (9 shared papers)Enzhe Song (15 shared papers)Yun Ke (12 shared papers)Xiuzhen Ma (5 shared papers)Liyun Fan (5 shared papers)
In The Last Decade
Chong Yao
34 papers receiving 373 citations
Peers
Comparison fields: 5 of 49
- Fluid Flow and Transfer Processes 178
- Automotive Engineering 83
- Computational Mechanics 119
- Control and Systems Engineering 112
- Analytical Chemistry 21
Countries citing papers authored by Chong Yao
This map shows the geographic impact of Chong 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 Chong Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chong Yao more than expected).
Fields of papers citing papers by Chong Yao
This network shows the impact of papers produced by Chong 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 Chong Yao. The network helps show where Chong Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside Chong 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 37 | |
| 2 | 2019 | 33 | |
| 3 | 2021 | 28 | |
| 4 | 2021 | 27 | |
| 5 | 2017 | 27 | |
| 6 | 2016 | 24 | |
| 7 | 2017 | 20 | |
| 8 | 2021 | 18 | |
| 9 | 2017 | 18 | |
| 10 | 2021 | 16 | |
| 11 | 2021 | 15 | |
| 12 | 2020 | 14 | |
| 13 | 2018 | 14 | |
| 14 | 2012 | 11 | |
| 15 | 2018 | 10 | |
| 16 | 2021 | 8 | |
| 17 | 2025 | 6 | |
| 18 | 2021 | 6 | |
| 19 | 2021 | 6 | |
| 20 | 2018 | 6 |
About Chong Yao
Chong Yao is a scholar working on Fluid Flow and Transfer Processes, Control and Systems Engineering, Computational Mechanics, Automotive Engineering and Mechanical Engineering, having authored 39 papers that have together received 378 indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (22 papers), Combustion and flame dynamics (11 papers), Fault Detection and Control Systems (10 papers), Machine Fault Diagnosis Techniques (9 papers), Vehicle emissions and performance (8 papers), Engineering Diagnostics and Reliability (5 papers), Spectroscopy and Chemometric Analyses (4 papers) and Catalytic Processes in Materials Science (4 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (178 citations), Automotive Engineering (83 citations), Computational Mechanics (119 citations), Control and Systems Engineering (112 citations) and Analytical Chemistry (21 citations). Chong Yao has collaborated with scholars based in China, Poland and Spain. Frequent co-authors include Enzhe Song, Quan Dong, Liping Yang, Shun-Liang Ding, Enzhe Song, Yun Ke, Xiuzhen Ma, Liyun Fan, Jun Sun and Grzegorz Litak. Their work appears in journals such as Journal of Vibration and Control, Applied Thermal Engineering, Fuel, Energy Conversion and Management and Experimental Thermal and Fluid Science.
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.