Linqi Yu
Impact in
- Computational Mechanics top 5%
- Fluid Dynamics and Turbulent Flows
- Fluid Dynamics and Vibration Analysis
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- Model Reduction and Neural Networks
Papers in
-
- Fluid Dynamics and Turbulent Flows 14
- Fluid Dynamics and Vibration Analysis 2
- Lattice Boltzmann Simulation Studies 2
-
- Model Reduction and Neural Networks 8
- Co-authors
- Hee-Chang Lim (16 shared papers)Mustafa Z. Yousif (16 shared papers)Ricardo Vinuesa (4 shared papers)Meng Zhang (10 shared papers)Sergio Hoyas (2 shared papers)Jean Rabault (1 shared paper)Dan Zhou (2 shared papers)Haifeng Zhou (1 shared paper)
- Journals
- Physics of Fluids (7 papers)Journal of Fluid Mechanics (3 papers)Results in Engineering (2 papers)Journal of Fluids Engineering (1 paper)Physical Review Fluids (1 paper)
- Partner nations
- South KoreaSwedenSpain
In The Last Decade
Linqi Yu
16 papers receiving 408 citations
Peers
Comparison fields: 5 of 44
- Computational Mechanics 295
- Statistical and Nonlinear Physics 165
- Computer Vision and Pattern Recognition 105
- Environmental Engineering 62
- Aerospace Engineering 100
Countries citing papers authored by Linqi Yu
This map shows the geographic impact of Linqi Yu'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 Linqi Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linqi Yu more than expected).
Fields of papers citing papers by Linqi Yu
This network shows the impact of papers produced by Linqi Yu. 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 Linqi Yu. The network helps show where Linqi Yu may publish in the future.
Co-authors
The 13 scholars most cited alongside Linqi Yu, 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 | 2021 | 77 | |
| 2 | 2023 | 69 | |
| 3 | 2023 | 62 | |
| 4 | 2022 | 52 | |
| 5 | 2022 | 52 | |
| 6 | 2022 | 50 | |
| 7 | 2023 | 14 | |
| 8 | 2023 | 13 | |
| 9 | 2023 | 12 | |
| 10 | 2023 | 6 | |
| 11 | 2024 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2024 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 1 |
About Linqi Yu
Linqi Yu is a scholar working on Computational Mechanics, Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition, Aerospace Engineering and Environmental Engineering, having authored 16 papers that have together received 416 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (14 papers), Model Reduction and Neural Networks (8 papers), Advanced Image Processing Techniques (3 papers), Wind and Air Flow Studies (2 papers), Aerodynamics and Acoustics in Jet Flows (2 papers), Heat Transfer Mechanisms (2 papers), Fluid Dynamics and Vibration Analysis (2 papers) and Lattice Boltzmann Simulation Studies (2 papers). The work is most often cited by research in Computational Mechanics (295 citations), Statistical and Nonlinear Physics (165 citations), Computer Vision and Pattern Recognition (105 citations), Environmental Engineering (62 citations) and Aerospace Engineering (100 citations). Linqi Yu has collaborated with scholars based in South Korea, Sweden and Spain. Frequent co-authors include Hee-Chang Lim, Mustafa Z. Yousif, Ricardo Vinuesa, Meng Zhang, Sergio Hoyas, Jean Rabault, Dan Zhou, Haifeng Zhou, Jung Sub Lee and Chinsuk Hong. Their work appears in journals such as Physics of Fluids, Journal of Fluid Mechanics, Results in Engineering, Journal of Fluids Engineering and Physical Review Fluids.
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.