Kai Cui
Impact in
- Nuclear Energy and Engineering top 10%
- Applied Mathematics top 5%
- Gas Dynamics and Kinetic Theory
Papers in
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- Plasma and Flow Control in Aerodynamics 11
-
- Computational Fluid Dynamics and Aerodynamics 19
- Fluid Dynamics and Turbulent Flows 13
- Co-authors
- Jun Chang (1 shared paper)Ting Jiang (1 shared paper)Guowei Yang (6 shared papers)Jun Chang (6 shared papers)Cheuk Lun Chow (1 shared paper)Chao Gao (6 shared papers)Luciano Feo (1 shared paper)Denvid Lau (1 shared paper)
- Journals
- ACS Sustainable Chemistry & Engineering (3 papers)Construction and Building Materials (3 papers)Acta Astronautica (2 papers)Aerospace Science and Technology (2 papers)Microgravity Science and Technology (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Kai Cui
48 papers receiving 471 citations
Peers
Comparison fields: 5 of 67
- Nuclear Energy and Engineering 6
- Applied Mathematics 67
- Civil and Structural Engineering 139
- Computational Mechanics 125
- Aerospace Engineering 128
Countries citing papers authored by Kai Cui
This map shows the geographic impact of Kai Cui'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 Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Cui more than expected).
Fields of papers citing papers by Kai Cui
This network shows the impact of papers produced by Kai Cui. 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 Cui. The network helps show where Kai Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Cui, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 98 | |
| 2 | 2022 | 49 | |
| 3 | 2017 | 28 | |
| 4 | 2010 | 25 | |
| 5 | 2007 | 18 | |
| 6 | 2017 | 18 | |
| 7 | 2008 | 18 | |
| 8 | 2013 | 17 | |
| 9 | 2019 | 16 | |
| 10 | 2020 | 14 | |
| 11 | 2022 | 13 | |
| 12 | 2009 | 13 | |
| 13 | 2017 | 13 | |
| 14 | 2025 | 11 | |
| 15 | 2010 | 11 | |
| 16 | 2024 | 10 | |
| 17 | 2010 | 10 | |
| 18 | 2007 | 10 | |
| 19 | 2005 | 8 | |
| 20 | 2010 | 6 |
About Kai Cui
Kai Cui is a scholar working on Aerospace Engineering, Computational Mechanics, Materials Chemistry, Applied Mathematics and Astronomy and Astrophysics, having authored 54 papers that have together received 477 indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (19 papers), Fluid Dynamics and Turbulent Flows (13 papers), Plasma and Flow Control in Aerodynamics (11 papers), Gas Dynamics and Kinetic Theory (10 papers), Luminescence Properties of Advanced Materials (6 papers), Concrete and Cement Materials Research (5 papers), Magnesium Oxide Properties and Applications (4 papers) and Plasma Diagnostics and Applications (4 papers). The work is most often cited by research in Nuclear Energy and Engineering (6 citations), Applied Mathematics (67 citations), Civil and Structural Engineering (139 citations), Computational Mechanics (125 citations) and Aerospace Engineering (128 citations). Kai Cui has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jun Chang, Ting Jiang, Guowei Yang, Jun Chang, Cheuk Lun Chow, Chao Gao, Luciano Feo, Denvid Lau, Bo Peng and Daren Yu. Their work appears in journals such as ACS Sustainable Chemistry & Engineering, Construction and Building Materials, Acta Astronautica, Aerospace Science and Technology and Microgravity 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.