Min Ou
Impact in
- Computational Mechanics top 2%
- Computational Fluid Dynamics and Aerodynamics
- Fluid Dynamics and Turbulent Flows
- Combustion and flame dynamics
- Applied Mathematics top 5%
- Gas Dynamics and Kinetic Theory
Papers in
-
- Computational Fluid Dynamics and Aerodynamics 6
- Fluid Dynamics and Turbulent Flows 5
- Heat transfer and supercritical fluids 1
-
- Gas Dynamics and Kinetic Theory 3
- Co-authors
- Wei Huang (6 shared papers)Li Yan (4 shared papers)Shi-bin Li (3 shared papers)Ruirui Zhang (3 shared papers)Lang-quan Li (1 shared paper)Xi-wan Sun (1 shared paper)Tian-tian Zhang (1 shared paper)Rasoul Moradi (1 shared paper)
- Journals
- Acta Astronautica (3 papers)International Journal of Heat and Mass Transfer (2 papers)Chinese Journal of Aeronautics (1 paper)Brain and Behavior (1 paper)
- Partner nations
- ChinaAzerbaijan
In The Last Decade
Min Ou
7 papers receiving 451 citations
Peers
Comparison fields: 5 of 28
- Computational Mechanics 404
- Applied Mathematics 163
- Aerospace Engineering 326
- Fluid Flow and Transfer Processes 13
- Statistics, Probability and Uncertainty 11
Countries citing papers authored by Min Ou
This map shows the geographic impact of Min Ou'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 Min Ou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Ou more than expected).
Fields of papers citing papers by Min Ou
This network shows the impact of papers produced by Min Ou. 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 Min Ou. The network helps show where Min Ou may publish in the future.
Co-authors
The 16 scholars most cited alongside Min Ou, 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 | 2018 | 176 | |
| 2 | 2019 | 125 | |
| 3 | 2018 | 55 | |
| 4 | 2018 | 53 | |
| 5 | 2016 | 22 | |
| 6 | 2019 | 22 | |
| 7 | 2021 | 3 |
About Min Ou
Min Ou is a scholar working on Computational Mechanics, Applied Mathematics, Aerospace Engineering, Neurology and Cognitive Neuroscience, having authored 7 papers that have together received 456 indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (6 papers), Fluid Dynamics and Turbulent Flows (5 papers), Gas Dynamics and Kinetic Theory (3 papers), Plasma and Flow Control in Aerodynamics (2 papers), Traumatic Brain Injury and Neurovascular Disturbances (1 paper), Heat transfer and supercritical fluids (1 paper), Traumatic Brain Injury Research (1 paper) and Rocket and propulsion systems research (1 paper). The work is most often cited by research in Computational Mechanics (404 citations), Applied Mathematics (163 citations), Aerospace Engineering (326 citations), Fluid Flow and Transfer Processes (13 citations) and Statistics, Probability and Uncertainty (11 citations). Min Ou has collaborated with scholars based in China and Azerbaijan. Frequent co-authors include Wei Huang, Li Yan, Shi-bin Li, Ruirui Zhang, Lang-quan Li, Xi-wan Sun, Tian-tian Zhang, Rasoul Moradi, Xiaoqian Chen and Jin Zhou. Their work appears in journals such as Acta Astronautica, International Journal of Heat and Mass Transfer, Chinese Journal of Aeronautics and Brain and Behavior.
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.