Chunkan Yu
Impact in
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- Advanced Combustion Engine Technologies
- Computational Mechanics top 5%
- Combustion and flame dynamics
Papers in
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- Advanced Combustion Engine Technologies 38
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- Combustion and flame dynamics 37
- Co-authors
- Ulrich Maas (34 shared papers)Agustín Valera-Medina (9 shared papers)Syed Mashruk (5 shared papers)Sven Eckart (7 shared papers)Hua Xiao (1 shared paper)V. Bykov (7 shared papers)Hartmut Krause (5 shared papers)Mohammad Alnajideen (3 shared papers)
- Journals
- Proceedings of the Combustion Institute (7 papers)Energy & Fuels (5 papers)Flow Turbulence and Combustion (4 papers)Combustion Theory and Modelling (4 papers)Combustion Science and Technology (3 papers)
- Partner nations
- GermanyChinaUnited Kingdom
In The Last Decade
Chunkan Yu
42 papers receiving 512 citations
Peers
Comparison fields: 5 of 42
- Fluid Flow and Transfer Processes 345
- Computational Mechanics 331
- Catalysis 38
- Aerospace Engineering 113
- Atmospheric Science 72
Countries citing papers authored by Chunkan Yu
This map shows the geographic impact of Chunkan Yu'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 Chunkan Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunkan Yu more than expected).
Fields of papers citing papers by Chunkan Yu
This network shows the impact of papers produced by Chunkan Yu. 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 Chunkan Yu. The network helps show where Chunkan Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chunkan Yu, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 111 | |
| 2 | 2024 | 71 | |
| 3 | 2024 | 56 | |
| 4 | 2021 | 30 | |
| 5 | 2023 | 19 | |
| 6 | 2018 | 16 | |
| 7 | 2023 | 15 | |
| 8 | 2023 | 15 | |
| 9 | 2023 | 12 | |
| 10 | 2021 | 11 | |
| 11 | 2025 | 11 | |
| 12 | 2023 | 11 | |
| 13 | 2024 | 10 | |
| 14 | 2020 | 10 | |
| 15 | 2024 | 10 | |
| 16 | 2019 | 10 | |
| 17 | 2020 | 10 | |
| 18 | 2020 | 9 | |
| 19 | 2020 | 9 | |
| 20 | 2024 | 8 |
About Chunkan Yu
Chunkan Yu is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics, Aerospace Engineering, Atmospheric Science and Safety, Risk, Reliability and Quality, having authored 46 papers that have together received 519 indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (38 papers), Combustion and flame dynamics (37 papers), Combustion and Detonation Processes (13 papers), Atmospheric chemistry and aerosols (11 papers), Fire dynamics and safety research (6 papers), Catalytic Processes in Materials Science (5 papers), Rocket and propulsion systems research (4 papers) and Chemical Thermodynamics and Molecular Structure (3 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (345 citations), Computational Mechanics (331 citations), Catalysis (38 citations), Aerospace Engineering (113 citations) and Atmospheric Science (72 citations). Chunkan Yu has collaborated with scholars based in Germany, China and United Kingdom. Frequent co-authors include Ulrich Maas, Agustín Valera-Medina, Syed Mashruk, Sven Eckart, Hua Xiao, V. Bykov, Hartmut Krause, Mohammad Alnajideen, Hao Shi and Michael Pfitzner. Their work appears in journals such as Proceedings of the Combustion Institute, Energy & Fuels, Flow Turbulence and Combustion, Combustion Theory and Modelling and Combustion Science and Technology.
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.