38 citations as recorded by crossref.

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4. Dynamic Graph Advanced Air Mobility Trajectory Optimization Under Weather Forecast Uncertainty E. Pensado et al. https://doi.org/10.2514/1.G007971
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6. A hierarchical classification/regression algorithm for improving extreme wind speed events prediction C. Peláez-Rodríguez et al. https://doi.org/10.1016/j.renene.2022.11.042
7. AI-driven ensemble forecasting of extreme wind gusts: Random Forest modeling and case studies from the western Mediterranean G. Guerrero-Navarro et al. https://doi.org/10.1080/20964471.2025.2593745
8. Influence of Topography and the Underlying Surface of the Bohai Sea on Wind and Gust Forecasts K. Wang et al. https://doi.org/10.1029/2022EA002705
9. Instantaneous 2D extreme wind speed prediction using the novel Wind Gust Prediction Net based on purely convolutional neural mechanism Z. Zhang & J. Yin https://doi.org/10.1080/19942060.2024.2305318
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12. UAV Shore-to-Ship Parcel Delivery: Gust-Aware Trajectory Planning E. Pensado et al. https://doi.org/10.1109/TAES.2024.3400767
13. Physics-Informed Learning for Predicting Transient Voltage Angles in Renewable Power Systems Under Gusty Conditions R. Yin & L. Varga https://doi.org/10.3390/electricity6020034
14. An improvement of wind gust estimate (WGE) method for squall lines Z. Lu et al. https://doi.org/10.1080/19475705.2022.2064773
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20. Numerical Simulations of the Impacts of Coherent Vortices on Wind Hazards in Urban Blocks D. Yang et al. https://doi.org/10.1007/s10546-025-00935-8
21. LiDAR-based detection of wind gusts: An experimental study of gust propagation speed and impact on wind power ramps M. Pichault et al. https://doi.org/10.1016/j.jweia.2021.104864
22. Adaptive Wind Gust and Associated Gust-factor Model for the Gust-producing Weather over the Northern South China Sea L. HUANG et al. https://doi.org/10.3724/j.1006-8775.2023.029
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24. Current Challenges in Orographic Flow Dynamics: Turbulent Exchange Due to Low-Level Gravity-Wave Processes S. Vosper et al. https://doi.org/10.3390/atmos9090361
25. Do Machine Learning Approaches Offer Skill Improvement for Short-Term Forecasting of Wind Gust Occurrence and Magnitude? J. Coburn & S. Pryor https://doi.org/10.1175/WAF-D-21-0118.1
26. Physics and Modeling of Large Flow Disturbances: Discrete Gust Encounters for Modern Air Vehicles A. Jones et al. https://doi.org/10.1146/annurev-fluid-031621-085520
27. Effect of cooling roofs on gust wind speed over an urban agglomeration in Southern China X. Wang et al. https://doi.org/10.1088/2515-7620/ad0362
28. Improving ERA5 maritime gust forecasts in East China using objective synoptic weather classification and random forest models Z. Lu et al. https://doi.org/10.1080/19475705.2025.2564362
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35. Convective-gust nowcasting based on radar reflectivity and a deep learning algorithm H. Xiao et al. https://doi.org/10.5194/gmd-16-3611-2023
36. Wind Power Forecasting Under Extreme Weather: A Novel Few-Shot Learning Architecture C. Xu et al. https://doi.org/10.1109/TSTE.2025.3598029
37. The Gust Factor Models Involving Wind Speed and Temperature Profiles for Wind Gust Estimation H. Hu et al. https://doi.org/10.1155/2024/9970264
38. Super-scaling of wind gusts with thermal downdrafts in cloud-resolving simulations A. Isaza et al. https://doi.org/10.1016/j.wace.2026.100936