Xingyu Su
Impact in
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- Advanced Combustion Engine Technologies
- Computational Mechanics top 10%
- Combustion and flame dynamics
- Heat transfer and supercritical fluids
Papers in
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- Advanced Combustion Engine Technologies 13
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- Combustion and flame dynamics 11
- Heat transfer and supercritical fluids 2
- Co-authors
- Zhuyin Ren (15 shared papers)Weiqi Ji (3 shared papers)Tony Jun Huang (3 shared papers)Peiran Zhang (3 shared papers)Zhenhua Tian (2 shared papers)D. John (2 shared papers)Hua Zhou (8 shared papers)Yuyang Gu (2 shared papers)
- Journals
- Combustion and Flame (8 papers)Combustion Theory and Modelling (2 papers)Science Advances (2 papers)AIAA Journal (2 papers)Engineering Structures (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Xingyu Su
22 papers receiving 305 citations
Peers
Comparison fields: 5 of 54
- Fluid Flow and Transfer Processes 74
- Computational Mechanics 106
- Biomedical Engineering 126
- Aerospace Engineering 38
- Statistics, Probability and Uncertainty 10
Countries citing papers authored by Xingyu Su
This map shows the geographic impact of Xingyu Su'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 Xingyu Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xingyu Su more than expected).
Fields of papers citing papers by Xingyu Su
This network shows the impact of papers produced by Xingyu Su. 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 Xingyu Su. The network helps show where Xingyu Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Xingyu Su, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 65 | |
| 2 | 2021 | 49 | |
| 3 | 2023 | 25 | |
| 4 | 2020 | 25 | |
| 5 | 2022 | 24 | |
| 6 | 2022 | 16 | |
| 7 | 2021 | 15 | |
| 8 | 2020 | 15 | |
| 9 | 2022 | 13 | |
| 10 | 2024 | 10 | |
| 11 | 2023 | 10 | |
| 12 | 2023 | 7 | |
| 13 | 2022 | 6 | |
| 14 | 2022 | 6 | |
| 15 | 2022 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2024 | 4 | |
| 19 | 2024 | 2 | |
| 20 | 2025 | 2 |
About Xingyu Su
Xingyu Su is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics, Atmospheric Science, Building and Construction and Biomedical Engineering, having authored 24 papers that have together received 310 indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (13 papers), Combustion and flame dynamics (11 papers), Atmospheric chemistry and aerosols (5 papers), Microfluidic and Bio-sensing Technologies (3 papers), Electrowetting and Microfluidic Technologies (3 papers), Structural Behavior of Reinforced Concrete (2 papers), Heat transfer and supercritical fluids (2 papers) and Chemical Thermodynamics and Molecular Structure (2 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (74 citations), Computational Mechanics (106 citations), Biomedical Engineering (126 citations), Aerospace Engineering (38 citations) and Statistics, Probability and Uncertainty (10 citations). Xingyu Su has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Zhuyin Ren, Weiqi Ji, Tony Jun Huang, Peiran Zhang, Zhenhua Tian, D. John, Hua Zhou, Yuyang Gu, Zhanwei Zhong and Krishnendu Chakrabarty. Their work appears in journals such as Combustion and Flame, Combustion Theory and Modelling, Science Advances, AIAA Journal and Engineering Structures.
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.