14 citations as recorded by crossref.

1. Alignment calibration and correction for offshore wind measurements using scanning lidars K. Gramitzky et al. https://doi.org/10.1088/1742-6596/2767/4/042014
2. Offshore wakes measured by an adaptive dual-Doppler scanning lidar system T. Hildebrand et al. https://doi.org/10.1088/1742-6596/3025/1/012005
3. Assessment of position accuracy for scanning dual-Doppler X-band wind radar systems L. Hung & J. Gottschall https://doi.org/10.1088/1742-6596/3224/2/022058
4. Accounting for Instrument Tilt to Improve Doppler Lidar-Based Boundary-Layer Wind Estimates M. Moeini & D. Romanic https://doi.org/10.1007/s10546-026-00966-9
5. Experimental validation of the Sea Surface Calibration for scanning lidar static elevation offset determination P. Meyer et al. https://doi.org/10.1088/1742-6596/3224/2/022049
6. Measurement of flow deflection effects around an offshore wind farm caused by global blockage J. Schneemann et al. https://doi.org/10.1088/1742-6596/3016/1/012012
7. Comparing triple and single Doppler lidar wind measurements with sonic anemometer data based on a new filter strategy for virtual tower measurements K. Wolz et al. https://doi.org/10.5194/gi-13-205-2024
8. Investigating Coastal Effects on Offshore Wind Conditions in Japan Using Unmanned Aerial Vehicles K. Goto et al. https://doi.org/10.3390/en18051131
9. Validation of Dual Scanning LiDAR for Wind Field Reconstruction Under Coastal Atmospheric Conditions G. Kissas et al. https://doi.org/10.3390/wind6030033
10. Offshore wind farm cluster wakes as observed by long-range-scanning wind lidar measurements and mesoscale modeling B. Cañadillas et al. https://doi.org/10.5194/wes-7-1241-2022
11. Observer-based power forecast of individual and aggregated offshore wind turbines F. Theuer et al. https://doi.org/10.5194/wes-7-2099-2022
12. Alignment of scanning lidars in offshore campaigns – an extension of the sea surface levelling method K. Gramitzky et al. https://doi.org/10.5194/wes-11-861-2026
13. Low-level jets' influence on the power conversion efficiency of offshore wind turbines J. Paulsen et al. https://doi.org/10.5194/wes-11-321-2026
14. Comparison of classical and drone based hard-target methodologies applied to scanning lidar for offshore wind A. Oldroyd et al. https://doi.org/10.1088/1742-6596/2875/1/012041