F. Fang
Impact in
- Statistical and Nonlinear Physics top 0.5%
- Model Reduction and Neural Networks
-
- Probabilistic and Robust Engineering Design
Papers in
-
- Model Reduction and Neural Networks 37
-
- Fluid Dynamics and Vibration Analysis 21
- Advanced Numerical Methods in Computational Mathematics 21
- Computational Fluid Dynamics and Aerodynamics 18
- Lattice Boltzmann Simulation Studies 10
- Co-authors
- Christopher C. PainI. M. NavonCornelis W. OosterleeDunhui XiaoA.G. BuchanMeiling ChengRosemary MorrowGang Hu
- Journals
- International Journal for Numerical Methods in Fluids (13 papers)Computer Methods in Applied Mechanics and Engineering (7 papers)Journal of Computational Physics (7 papers)Atmosphere (5 papers)Computers & Fluids (5 papers)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
F. Fang
103 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Statistical and Nonlinear Physics 1.4k
- Statistics, Probability and Uncertainty 461
- Finance 642
- Computational Mechanics 1.2k
- Environmental Engineering 669
Countries citing papers authored by F. Fang
This map shows the geographic impact of F. Fang'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 F. Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Fang more than expected).
Fields of papers citing papers by F. Fang
This network shows the impact of papers produced by F. Fang. 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 F. Fang. The network helps show where F. Fang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside F. Fang, 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 | 1 | |
| 3 | 2023 | 22 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 12 | |
| 8 | 2021 | 0 | |
| 9 | 2019 | 36 | |
| 10 | 2019 | 53 | |
| 11 | 2018 | 38 | |
| 12 | Numerical Simulation of Attenuator Wave Energy Converter Using One-Fluid Formulation | 2018 | 1 |
| 13 | 2018 | 4 | |
| 14 | 2018 | 28 | |
| 15 | Goal-based sensitivity maps using time windows and ensemble perturbations | 2018 | 1 |
| 16 | 2017 | 169 | |
| 17 | 2015 | 72 | |
| 18 | An ensemble method for targeted adaptive observations applied to multiphase flows | 2013 | 1 |
| 19 | Pricing Early-Exercise and Discrete Barrier Options by Fourier-Cosine Series Expansions | 2008 | 0 |
| 20 | 2006 | 17 |
About F. Fang
F. Fang is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics, Atmospheric Science, Environmental Engineering and Statistics, Probability and Uncertainty, having authored 111 papers that have together received 3.8k indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (37 papers), Meteorological Phenomena and Simulations (28 papers), Fluid Dynamics and Vibration Analysis (21 papers), Advanced Numerical Methods in Computational Mathematics (21 papers), Computational Fluid Dynamics and Aerodynamics (18 papers), Lattice Boltzmann Simulation Studies (10 papers), Wind and Air Flow Studies (10 papers) and Probabilistic and Robust Engineering Design (10 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.4k citations), Statistics, Probability and Uncertainty (461 citations), Finance (642 citations), Computational Mechanics (1.2k citations) and Environmental Engineering (669 citations). F. Fang has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Christopher C. Pain, I. M. Navon, Cornelis W. Oosterlee, Dunhui Xiao, A.G. Buchan, Meiling Cheng, Rosemary Morrow, Gang Hu, Ruochen Hu and Matthew D. Piggott. Their work appears in journals such as International Journal for Numerical Methods in Fluids, Computer Methods in Applied Mechanics and Engineering, Journal of Computational Physics, Atmosphere and Computers & 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.