Yu Zhou
Impact in
- Computational Mechanics top 0.5%
- Fluid Dynamics and Vibration Analysis
- Fluid Dynamics and Turbulent Flows
- Environmental Engineering top 1%
- Wind and Air Flow Studies
Papers in
-
- Topic Modeling 59
- Natural Language Processing Techniques 52
-
- Fluid Dynamics and Vibration Analysis 66
- Fluid Dynamics and Turbulent Flows 60
- Co-authors
- Md. Mahbub Alam (27 shared papers)Weiping Wang (28 shared papers)Dongbao Yang (13 shared papers)Chengqing Zong (31 shared papers)Longjun Wang (14 shared papers)Lin Gui (8 shared papers)Jiajun Zhang (15 shared papers)R. A. Antonia (19 shared papers)
- Journals
- Journal of Fluid Mechanics (21 papers)Experiments in Fluids (10 papers)Journal of Fluids and Structures (10 papers)Physics of Fluids (9 papers)Neurocomputing (4 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yu Zhou
318 papers receiving 5.3k citations
Peers
Comparison fields: 5 of 168
- Computational Mechanics 1.9k
- Environmental Engineering 991
- Computer Vision and Pattern Recognition 1.4k
- Aerospace Engineering 1.2k
- Artificial Intelligence 1.7k
Countries citing papers authored by Yu Zhou
This map shows the geographic impact of Yu Zhou'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 Yu Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Zhou more than expected).
Fields of papers citing papers by Yu Zhou
This network shows the impact of papers produced by Yu Zhou. 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 Yu Zhou. The network helps show where Yu Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Zhou, 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 350 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 251 | |
| 2 | 2020 | 205 | |
| 3 | 2014 | 141 | |
| 4 | 2020 | 133 | |
| 5 | 2016 | 122 | |
| 6 | 2017 | 121 | |
| 7 | 2020 | 110 | |
| 8 | 2017 | 101 | |
| 9 | 2014 | 88 | |
| 10 | 2019 | 82 | |
| 11 | 2015 | 77 | |
| 12 | 2020 | 75 | |
| 13 | 2014 | 72 | |
| 14 | 2014 | 70 | |
| 15 | 2021 | 65 | |
| 16 | 2011 | 63 | |
| 17 | 2015 | 59 | |
| 18 | 2011 | 59 | |
| 19 | 2017 | 58 | |
| 20 | 2021 | 57 |
About Yu Zhou
Yu Zhou is a scholar working on Artificial Intelligence, Computational Mechanics, Computer Vision and Pattern Recognition, Aerospace Engineering and Environmental Engineering, having authored 350 papers that have together received 5.4k indexed citations. Recurring topics across this work include Fluid Dynamics and Vibration Analysis (66 papers), Fluid Dynamics and Turbulent Flows (60 papers), Topic Modeling (59 papers), Natural Language Processing Techniques (52 papers), Wind and Air Flow Studies (43 papers), Handwritten Text Recognition Techniques (39 papers), Aerodynamics and Fluid Dynamics Research (32 papers) and Multimodal Machine Learning Applications (25 papers). The work is most often cited by research in Computational Mechanics (1.9k citations), Environmental Engineering (991 citations), Computer Vision and Pattern Recognition (1.4k citations), Aerospace Engineering (1.2k citations) and Artificial Intelligence (1.7k citations). Yu Zhou has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Md. Mahbub Alam, Weiping Wang, Dongbao Yang, Chengqing Zong, Longjun Wang, Lin Gui, Jiajun Zhang, R. A. Antonia, Qin Lu and Zhi Qiao. Their work appears in journals such as Journal of Fluid Mechanics, Experiments in Fluids, Journal of Fluids and Structures, Physics of Fluids and Neurocomputing.
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.