Kun Du
Impact in
- Aerospace Engineering top 5%
- Turbomachinery Performance and Optimization
- Computational Mechanics top 5%
- Fluid Dynamics and Turbulent Flows
- Combustion and flame dynamics
- Computational Fluid Dynamics and Aerodynamics
- Radiative Heat Transfer Studies
Papers in
-
- Turbomachinery Performance and Optimization 39
- Spacecraft Design and Technology 3
-
- Heat Transfer Mechanisms 33
- Tribology and Lubrication Engineering 6
- Heat Transfer and Optimization 3
- Co-authors
- Jun Li (12 shared papers)Bengt Sundén (25 shared papers)Zhigang Li (7 shared papers)Cunliang Liu (29 shared papers)Liming Song (3 shared papers)Qihao Chen (7 shared papers)Xian-long Meng (5 shared papers)Xiaohui Bai (4 shared papers)
In The Last Decade
Kun Du
46 papers receiving 467 citations
Peers
Comparison fields: 5 of 39
- Aerospace Engineering 394
- Computational Mechanics 273
- Mechanical Engineering 344
- Mechanics of Materials 29
- Statistics, Probability and Uncertainty 7
Countries citing papers authored by Kun Du
This map shows the geographic impact of Kun Du'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 Kun Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Du more than expected).
Fields of papers citing papers by Kun Du
This network shows the impact of papers produced by Kun Du. 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 Kun Du. The network helps show where Kun Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Du, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 66 | |
| 2 | 2016 | 51 | |
| 3 | 2017 | 31 | |
| 4 | 2022 | 26 | |
| 5 | 2017 | 20 | |
| 6 | 2024 | 17 | |
| 7 | 2016 | 15 | |
| 8 | 2016 | 15 | |
| 9 | 2018 | 15 | |
| 10 | 2000 | 14 | |
| 11 | 2017 | 14 | |
| 12 | 2023 | 13 | |
| 13 | 2024 | 11 | |
| 14 | 2019 | 11 | |
| 15 | 2024 | 9 | |
| 16 | 2024 | 9 | |
| 17 | 2024 | 9 | |
| 18 | 2023 | 8 | |
| 19 | 2024 | 8 | |
| 20 | 2024 | 8 |
About Kun Du
Kun Du is a scholar working on Aerospace Engineering, Mechanical Engineering, Computational Mechanics, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment, having authored 48 papers that have together received 474 indexed citations. Recurring topics across this work include Turbomachinery Performance and Optimization (39 papers), Heat Transfer Mechanisms (33 papers), Fluid Dynamics and Turbulent Flows (15 papers), Combustion and flame dynamics (8 papers), Tribology and Lubrication Engineering (6 papers), solar cell performance optimization (4 papers), Heat Transfer and Optimization (3 papers) and Spacecraft Design and Technology (3 papers). The work is most often cited by research in Aerospace Engineering (394 citations), Computational Mechanics (273 citations), Mechanical Engineering (344 citations), Mechanics of Materials (29 citations) and Statistics, Probability and Uncertainty (7 citations). Kun Du has collaborated with scholars based in China, Sweden and India. Frequent co-authors include Jun Li, Bengt Sundén, Zhigang Li, Cunliang Liu, Liming Song, Qihao Chen, Xian-long Meng, Xiaohui Bai, Lei Chen and Lin Ye. Their work appears in journals such as International Journal of Heat and Mass Transfer, International Journal of Thermal Sciences, International Journal of Heat and Fluid Flow, Applied Thermal Engineering and Numerical Heat Transfer Part A Applications.
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.