Shining Chan
Impact in
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- Advanced Combustion Engine Technologies
- Computational Mechanics top 5%
- Combustion and flame dynamics
- Computational Fluid Dynamics and Aerodynamics
Papers in
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- Fluid Dynamics and Heat Transfer 3
- Combustion and flame dynamics 3
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- Combustion and Detonation Processes 8
- Spacecraft and Cryogenic Technologies 3
- Co-authors
- John E. Mottershead (4 shared papers)Fei Xing (9 shared papers)Matthew P. Cartmell (3 shared papers)Can Ruan (1 shared paper)Yue Huang (1 shared paper)Sai Gu (1 shared paper)Xiaolei Fan (1 shared paper)Arvind Kumar (1 shared paper)
- Journals
- Journal of vibration and acoustics (2 papers)Journal of Engineering for Gas Turbines and Power (2 papers)Energies (2 papers)Applied Energy (1 paper)Energy Conversion and Management (1 paper)
- Partner nations
- ChinaUnited KingdomIndia
In The Last Decade
Shining Chan
17 papers receiving 330 citations
Peers
Comparison fields: 5 of 33
- Fluid Flow and Transfer Processes 96
- Computational Mechanics 162
- Automotive Engineering 91
- Aerospace Engineering 85
- Safety, Risk, Reliability and Quality 24
Countries citing papers authored by Shining Chan
This map shows the geographic impact of Shining Chan'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 Shining Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shining Chan more than expected).
Fields of papers citing papers by Shining Chan
This network shows the impact of papers produced by Shining Chan. 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 Shining Chan. The network helps show where Shining Chan may publish in the future.
Co-authors
The 18 scholars most cited alongside Shining Chan, 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 | 2017 | 125 | |
| 2 | 1994 | 44 | |
| 3 | 1995 | 41 | |
| 4 | 2017 | 21 | |
| 5 | 2022 | 20 | |
| 6 | 2016 | 17 | |
| 7 | 1995 | 16 | |
| 8 | 2016 | 12 | |
| 9 | 2021 | 12 | |
| 10 | 2022 | 9 | |
| 11 | 2014 | 5 | |
| 12 | 2022 | 4 | |
| 13 | 2022 | 4 | |
| 14 | 2018 | 3 | |
| 15 | 1995 | 3 | |
| 16 | 2022 | 2 | |
| 17 | 2022 | 1 |
About Shining Chan
Shining Chan is a scholar working on Computational Mechanics, Aerospace Engineering, Automotive Engineering, Ocean Engineering and Renewable Energy, Sustainability and the Environment, having authored 17 papers that have together received 339 indexed citations. Recurring topics across this work include Combustion and Detonation Processes (8 papers), Tribology and Lubrication Engineering (3 papers), Fluid Dynamics and Heat Transfer (3 papers), Oil, Gas, and Environmental Issues (3 papers), Spacecraft and Cryogenic Technologies (3 papers), Particle Dynamics in Fluid Flows (3 papers), Combustion and flame dynamics (3 papers) and Brake Systems and Friction Analysis (3 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (96 citations), Computational Mechanics (162 citations), Automotive Engineering (91 citations), Aerospace Engineering (85 citations) and Safety, Risk, Reliability and Quality (24 citations). Shining Chan has collaborated with scholars based in China, United Kingdom and India. Frequent co-authors include John E. Mottershead, Fei Xing, Matthew P. Cartmell, Can Ruan, Yue Huang, Sai Gu, Xiaolei Fan, Arvind Kumar, Huoxing Liu and Hongmei Liu. Their work appears in journals such as Journal of vibration and acoustics, Journal of Engineering for Gas Turbines and Power, Energies, Applied Energy and Energy Conversion and Management.
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.