Kai Luo
- Computational Mechanics top 0.02%
- Combustion and flame dynamics 102
- Lattice Boltzmann Simulation Studies 89
- Fluid Dynamics and Heat Transfer 45
- Fluid Dynamics and Turbulent Flows 43
- Fluid Flow and Transfer Processes top 0.2%
- Advanced Combustion Engine Technologies 64
- Biomedical Engineering top 0.2%
- Thermochemical Biomass Conversion Processes 41
- Aerospace Engineering top 0.2%
- Ocean Engineering top 0.1%
- Particle Dynamics in Fluid Flows 40
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- Aerosol Filtration and Electrostatic Precipitation 50
Kai Luo
527 papers receiving 17.6k citations
Hit Papers
Peers
Comparison fields: 5 of 179
- Computational Mechanics 8.1k
- Fluid Flow and Transfer Processes 1.6k
- Biomedical Engineering 5.3k
- Aerospace Engineering 2.6k
- Ocean Engineering 1.6k
Countries citing papers authored by Kai Luo
This map shows the geographic impact of Kai Luo'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 Kai Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Luo more than expected).
Fields of papers citing papers by Kai Luo
This network shows the impact of papers produced by Kai Luo. 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 Kai Luo. The network helps show where Kai Luo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kai Luo, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 7 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 20 | |
| 13 | 2023 | 10 | |
| 14 | 2023 | 4 | |
| 15 | 2023 | 2 | |
| 16 | 2023 | 8 | |
| 17 | 2023 | 4 | |
| 18 | 2019 | 10 | |
| 19 | Modelling discrete incremental repetitive and/or simultaneous particle breakage | 2010 | 3 |
| 20 | Swirling effects on the dynamics of an annular non-premixed jet flame | 2008 | 1 |
About Kai Luo
Kai Luo is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes and Aerospace Engineering, having authored 560 papers that have together received 18.2k indexed citations. Recurring topics across this work include Combustion and flame dynamics (102 papers), Lattice Boltzmann Simulation Studies (89 papers), Advanced Combustion Engine Technologies (64 papers), Aerosol Filtration and Electrostatic Precipitation (50 papers), Fluid Dynamics and Heat Transfer (45 papers), Fluid Dynamics and Turbulent Flows (43 papers), Thermochemical Biomass Conversion Processes (41 papers) and Particle Dynamics in Fluid Flows (40 papers). The work is most often cited by research in Computational Mechanics (8.1k citations), Fluid Flow and Transfer Processes (1.6k citations) and Biomedical Engineering (5.3k citations). Kai Luo has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Dekui Shen, Qing Li, A.V. Bridgwater, Lingli Zhu, Konstantinos Papadikis, Linlin Fei, Guoqiang He, Zhiwei Hu, Qian Mao and Man Zhang. Their work appears in journals such as Fuel, Proceedings of the Combustion Institute, Combustion and Flame, International Journal of Hydrogen Energy and Physical review. E.
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.