15 citations as recorded by crossref.

1. Comparison of horizontal wind speed and direction measurements from dual-Doppler radar and profiling lidars A. Vöhringer et al. 10.1088/1742-6596/2767/9/092101
2. Identification of the energy contributions associated with wall-attached eddies and very-large-scale motions in the near-neutral atmospheric surface layer through wind LiDAR measurements M. Puccioni et al. 10.1017/jfm.2022.1080
3. Numerical study of the effect of tip-speed ratio on hydrokinetic turbine wake recovery O. El Fajri et al. 10.1016/j.renene.2021.10.030
4. Pseudo-2D RANS: A LiDAR-driven mid-fidelity model for simulations of wind farm flows S. Letizia & G. Iungo 10.1063/5.0076739
5. LiSBOA (LiDAR Statistical Barnes Objective Analysis) for optimal design of lidar scans and retrieval of wind statistics – Part 1: Theoretical framework S. Letizia et al. 10.5194/amt-14-2065-2021
6. LiDAR Measurements to Investigate Farm-to-Farm Interactions at the AWAKEN Experiment M. Puccioni et al. 10.1088/1742-6596/2505/1/012045
7. Machine-learning identification of the variability of mean velocity and turbulence intensity for wakes generated by onshore wind turbines: Cluster analysis of wind LiDAR measurements G. Iungo et al. 10.1063/5.0070094
8. Effects of the thrust force induced by wind turbine rotors on the incoming wind field: A wind LiDAR experiment S. Letizia et al. 10.1088/1742-6596/2265/2/022033
9. Holistic scan optimization of nacelle-mounted lidars for inflow and wake characterization at the RAAW and AWAKEN field campaigns S. Letizia et al. 10.1088/1742-6596/2505/1/012048
10. Blockage and speedup in the proximity of an onshore wind farm: A scanning wind LiDAR experiment M. Puccioni et al. 10.1063/5.0157937
11. Profiling wind LiDAR measurements to quantify blockage for onshore wind turbines C. Moss et al. 10.1002/we.2877
12. Reconstruction of dynamic wind turbine wake flow fields from virtual Lidar measurements via physics-informed neural networks J. Zhang & X. Zhao 10.1088/1742-6596/2767/9/092017
13. Characterization of wind turbine flow through nacelle-mounted lidars: a review S. Letizia et al. 10.3389/fmech.2023.1261017
14. Coupling wind LiDAR fixed and volumetric scans for enhanced characterization of wind turbulence and flow three‐dimensionality M. Puccioni et al. 10.1002/we.2865
15. Optimal tuning of engineering wake models through lidar measurements L. Zhan et al. 10.5194/wes-5-1601-2020