Chaolei Dang
Impact in
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- Advanced Combustion Engine Technologies
- Computational Mechanics top 5%
- Heat transfer and supercritical fluids
- Combustion and flame dynamics
- Computational Fluid Dynamics and Aerodynamics
Papers in
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- Heat transfer and supercritical fluids 16
- Computational Fluid Dynamics and Aerodynamics 7
- Combustion and flame dynamics 4
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- Rocket and propulsion systems research 17
- Co-authors
- Kunlin Cheng (19 shared papers)Jiang Qin (16 shared papers)Silong Zhang (6 shared papers)Wen Bao (4 shared papers)Jing Xu (8 shared papers)Hongchuang Sun (3 shared papers)Guodong Liu (4 shared papers)Wuxing Jing (2 shared papers)
In The Last Decade
Chaolei Dang
23 papers receiving 397 citations
Peers
Comparison fields: 5 of 29
- Fluid Flow and Transfer Processes 101
- Computational Mechanics 226
- Aerospace Engineering 215
- Energy Engineering and Power Technology 15
- Mechanical Engineering 113
Countries citing papers authored by Chaolei Dang
This map shows the geographic impact of Chaolei Dang'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 Chaolei Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaolei Dang more than expected).
Fields of papers citing papers by Chaolei Dang
This network shows the impact of papers produced by Chaolei Dang. 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 Chaolei Dang. The network helps show where Chaolei Dang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chaolei Dang, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 51 | |
| 2 | 2018 | 39 | |
| 3 | 2019 | 36 | |
| 4 | 2022 | 32 | |
| 5 | 2022 | 30 | |
| 6 | 2019 | 29 | |
| 7 | 2023 | 27 | |
| 8 | 2023 | 26 | |
| 9 | 2019 | 23 | |
| 10 | 2024 | 18 | |
| 11 | 2022 | 16 | |
| 12 | 2022 | 15 | |
| 13 | 2024 | 14 | |
| 14 | 2023 | 10 | |
| 15 | 2024 | 9 | |
| 16 | 2024 | 8 | |
| 17 | 2024 | 7 | |
| 18 | 2025 | 7 | |
| 19 | 2018 | 4 | |
| 20 | 2024 | 3 |
About Chaolei Dang
Chaolei Dang is a scholar working on Computational Mechanics, Aerospace Engineering, Mechanical Engineering, Materials Chemistry and Fluid Flow and Transfer Processes, having authored 26 papers that have together received 410 indexed citations. Recurring topics across this work include Rocket and propulsion systems research (17 papers), Heat transfer and supercritical fluids (16 papers), Computational Fluid Dynamics and Aerodynamics (7 papers), Advanced Combustion Engine Technologies (5 papers), Advanced Thermodynamic Systems and Engines (4 papers), Thermodynamic and Exergetic Analyses of Power and Cooling Systems (4 papers), Combustion and flame dynamics (4 papers) and Catalytic Processes in Materials Science (2 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (101 citations), Computational Mechanics (226 citations), Aerospace Engineering (215 citations), Energy Engineering and Power Technology (15 citations) and Mechanical Engineering (113 citations). Chaolei Dang has collaborated with scholars based in China and India. Frequent co-authors include Kunlin Cheng, Jiang Qin, Silong Zhang, Wen Bao, Jing Xu, Hongchuang Sun, Guodong Liu, Wuxing Jing, Xiaoyong Liu and Peng Dong. Their work appears in journals such as Energy, Aerospace Science and Technology, Applied Thermal Engineering, International Journal of Hydrogen Energy and Thermal Science and Engineering Progress.
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.