15 citations as recorded by crossref.

1. Offshore wind profile characteristics and their impact on floating wind turbine power production N. Angelou & C. Dubreuil-Boisclair https://doi.org/10.5194/wes-11-3745-2026
2. Experimental Evaluation of the Motion-Induced Effects for Turbulent Fluctuations Measurement on Floating Lidar Systems M. Thiébaut et al. https://doi.org/10.3390/rs16081337
3. Motion-Induced Errors in Buoy-Based Wind Measurements: Mechanisms, Compensation Methods, and Future Perspectives for Offshore Applications D. Cao et al. https://doi.org/10.3390/s26030920
4. Wind field estimation for lidar-assisted control: a comparison of proper orthogonal decomposition and interpolation techniques E. Soto Sagredo et al. https://doi.org/10.5194/wes-11-1705-2026
5. Catch the wind: Optimizing wind turbine power generation by addressing wind veer effects L. Gao et al. https://doi.org/10.1093/pnasnexus/pgae480
6. Machine-learning-based virtual load sensors for mooring lines using simulated motion and lidar measurements M. Gräfe et al. https://doi.org/10.5194/wes-9-2175-2024
7. Prediction of the dynamic response of a 20 MW spar-type offshore wind turbine under level ice loads using LSTM networks Y. Gu et al. https://doi.org/10.1016/j.rineng.2026.113769
8. 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
9. AI-enhanced diagnostics for manufacturer-independent validation of wind turbine performance: Results from the WindKI project L. Osterbrink et al. https://doi.org/10.1088/1742-6596/3224/6/062040
10. Health Monitoring of Offshore Wind Structures: Sensing Technology, Uncertainty, and Artificial Intelligence R. Li et al. https://doi.org/10.3390/s26154697
11. Evaluating the Performance of Pulsed and Continuous-Wave Lidar Wind Profilers with a Controlled Motion Experiment S. Malekmohammadi et al. https://doi.org/10.3390/rs16173191
12. Impact of motions on floating wind turbine power production A. Garcia-Sagrado et al. https://doi.org/10.1088/1742-6596/2767/6/062034
13. Wind speed estimation using second-order sliding-mode observers: simulation and experimental validation on a floating offshore wind turbine M. Sarbandi et al. https://doi.org/10.5194/wes-11-2405-2026
14. Impact of floating turbine motion on nacelle lidar turbulence measurements A. Peña et al. https://doi.org/10.1088/1742-6596/2767/4/042003
15. Loads and responses of a 22 MW floating wind turbine concept under a one-blade-detachment event Q. Song et al. https://doi.org/10.1016/j.oceaneng.2026.128942