Lin Fu
- Computational Mechanics top 0.5%
- Fluid Dynamics and Turbulent Flows 67
- Computational Fluid Dynamics and Aerodynamics 59
- Fluid Dynamics Simulations and Interactions 18
- Lattice Boltzmann Simulation Studies 16
- Combustion and flame dynamics 12
- Applied Mathematics top 1%
- Gas Dynamics and Kinetic Theory 25
- Numerical Analysis top 5%
- Building and Construction top 2%
- Mechanical Engineering top 5%
- Heat Transfer Mechanisms 14
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- Wind and Air Flow Studies 16
- Co-authors
- Nikolaus A. AdamsXiangyu HuMihailo R. JovanovićMakan FardadYi JiangKevin P. GriffinParviz MoinCheng Cheng
- Journals
- Journal of Computational Physics (20 papers)Journal of Fluid Mechanics (17 papers)Physical Review Fluids (10 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Lin Fu
210 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Computational Mechanics 1.9k
- Applied Mathematics 553
- Numerical Analysis 105
- Building and Construction 257
- Mechanical Engineering 631
Countries citing papers authored by Lin Fu
This map shows the geographic impact of Lin Fu'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 Lin Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Fu more than expected).
Fields of papers citing papers by Lin Fu
This network shows the impact of papers produced by Lin Fu. 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 Lin Fu. The network helps show where Lin Fu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lin Fu, 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 | 2025 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 2 | |
| 11 | 2024 | 5 | |
| 12 | 2023 | 5 | |
| 13 | 2023 | 8 | |
| 14 | 2023 | 12 | |
| 15 | 2023 | 24 | |
| 16 | 2022 | 22 | |
| 17 | 2022 | 9 | |
| 18 | A new parallel framework for SPH method with adaptive smoothing-length | 2017 | 1 |
| 19 | Explicit reinitialization and extending algorithms for levelset based sharp-interface method | 2015 | 1 |
| 20 | 2014 | 1 |
About Lin Fu
Lin Fu is a scholar working on Computational Mechanics, Computer Graphics and Computer-Aided Design and Applied Mathematics, having authored 230 papers that have together received 3.5k indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (67 papers), Computational Fluid Dynamics and Aerodynamics (59 papers), Gas Dynamics and Kinetic Theory (25 papers), Fluid Dynamics Simulations and Interactions (18 papers), Wind and Air Flow Studies (16 papers), Lattice Boltzmann Simulation Studies (16 papers), Heat Transfer Mechanisms (14 papers) and Combustion and flame dynamics (12 papers). The work is most often cited by research in Computational Mechanics (1.9k citations), Applied Mathematics (553 citations) and Numerical Analysis (105 citations). Lin Fu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Nikolaus A. Adams, Xiangyu Hu, Mihailo R. Jovanović, Makan Fardad, Yi Jiang, Kevin P. Griffin, Parviz Moin, Cheng Cheng, Zhe Ji and Baoping Xu. Their work appears in journals such as Journal of Computational Physics, Journal of Fluid Mechanics, Physical Review Fluids, Computer Methods in Applied Mechanics and Engineering and Computer Physics Communications.
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.