Kun Ye
Impact in
- Biological Psychiatry top 10%
- Computational Mechanics top 5%
- Computational Fluid Dynamics and Aerodynamics
- Fluid Dynamics and Turbulent Flows
Papers in ⓘ
-
- Computational Fluid Dynamics and Aerodynamics 29
- Fluid Dynamics and Turbulent Flows 24
- Fluid Dynamics and Vibration Analysis 10
- Co-authors
- Zhengyin Ye (42 shared papers)Jie Wu (4 shared papers)Zhiyong Wang (11 shared papers)Wanbo Li (12 shared papers)Shasha Xiang (6 shared papers)Chunna Li (2 shared papers)Yuewen Chen (3 shared papers)Zhaofang Han (7 shared papers)
- Journals
- Aerospace Science and Technology (10 papers)Aquaculture (8 papers)Acta Astronautica (5 papers)Frontiers in Microbiology (5 papers)Scientific Reports (3 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Kun Ye
140 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 142
- Biological Psychiatry 46
- Computational Mechanics 310
- Aquatic Science 107
- Molecular Medicine 72
- Physiology 60
Countries citing papers authored by Kun Ye
This map shows the geographic impact of Kun Ye'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 Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Ye more than expected).
Fields of papers citing papers by Kun Ye
This network shows the impact of papers produced by Kun Ye. 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 Ye. The network helps show where Kun Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Ye, 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 154 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 145 | |
| 2 | 2020 | 101 | |
| 3 | 2021 | 82 | |
| 4 | 2018 | 67 | |
| 5 | 2017 | 64 | |
| 6 | 2018 | 63 | |
| 7 | 2017 | 51 | |
| 8 | 2020 | 42 | |
| 9 | 2017 | 41 | |
| 10 | 2018 | 36 | |
| 11 | 2020 | 32 | |
| 12 | 2021 | 32 | |
| 13 | 2017 | 32 | |
| 14 | 2021 | 31 | |
| 15 | 2022 | 31 | |
| 16 | 2015 | 30 | |
| 17 | 2013 | 28 | |
| 18 | 2008 | 28 | |
| 19 | 2024 | 27 | |
| 20 | 2021 | 26 |
About Kun Ye
Kun Ye is a scholar working on Computational Mechanics, Endocrinology, Molecular Medicine, Aerospace Engineering and Cancer Research, having authored 154 papers that have together received 2.0k indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (29 papers), Fluid Dynamics and Turbulent Flows (24 papers), Aerodynamics and Fluid Dynamics Research (12 papers), Gut microbiota and health (11 papers), Fluid Dynamics and Vibration Analysis (10 papers), Plasma and Flow Control in Aerodynamics (9 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (9 papers) and Antibiotic Resistance in Bacteria (8 papers). The work is most often cited by research in Biological Psychiatry (46 citations), Computational Mechanics (310 citations), Aquatic Science (107 citations), Molecular Medicine (72 citations) and Physiology (60 citations). Kun Ye has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Zhengyin Ye, Jie Wu, Zhiyong Wang, Wanbo Li, Shasha Xiang, Chunna Li, Yuewen Chen, Zhaofang Han, Feng Xiao and Sha Sun. Their work appears in journals such as Aerospace Science and Technology, Aquaculture, Acta Astronautica, Frontiers in Microbiology and Scientific Reports.
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.