10 citations as recorded by crossref.

1. A review of physical and numerical modeling techniques for horizontal-axis wind turbine wakes M. Amiri et al. https://doi.org/10.1016/j.rser.2024.114279
2. A physics-informed neural network solver for RANS simulation of wind turbine wakes J. Zhang https://doi.org/10.1088/1742-6596/3224/3/032007
3. RANS simulation of a wind turbine wake in the neutral atmospheric pressure-driven boundary layer M. Baungaard et al. https://doi.org/10.1088/1742-6596/2505/1/012028
4. Entrainment model for wind turbine wakes considering blockage effect N. Li et al. https://doi.org/10.1088/1742-6596/2505/1/012004
5. From bluff bodies to optimal airfoils: Numerically stabilized RANS solvers for reliable shape optimization A. Dicholkar et al. https://doi.org/10.1016/j.ast.2025.110153
6. Discovery of a Physically Interpretable Data-Driven Wind-Turbine Wake Model K. Jigjid et al. https://doi.org/10.1007/s10494-025-00679-y
7. Numerical modelling of offshore wind-farm cluster wakes P. Ouro et al. https://doi.org/10.1016/j.rser.2025.115526
8. Beyond the First Generation of Wind Modeling for Resource Assessment and Siting: From Meteorology to Uncertainty Quantification M. Kelly https://doi.org/10.3390/en18071589
9. A simple steady-state inflow model of the neutral and stable atmospheric boundary layer applied to wind turbine wake simulations M. van der Laan et al. https://doi.org/10.5194/wes-9-1985-2024
10. Evolution of eddy viscosity in the wake of a wind turbine R. Scott et al. https://doi.org/10.5194/wes-8-449-2023