8 citations as recorded by crossref.

1. Tropical cyclone simulation models for resilience engineering – A review Y. Shi et al. https://doi.org/10.1016/j.ijdrr.2024.105042
2. Analyzing the sensitivity of a blowing snow model (SnowPappus) to precipitation forcing, blowing snow, and spatial resolution A. Haddjeri et al. https://doi.org/10.5194/tc-18-3081-2024
3. Hybrid CNN–ML System for Wind Speed Level Identification in Complex Terrain: A Case Study from Maden, Turkey H. Nogay https://doi.org/10.17694/bajece.1820323
4. Global drought impacts on hydropower integrating physically-based and machine learning modelling J. Shah et al. https://doi.org/10.1088/1748-9326/ae7b62
5. Probabilistic Wind Speed Forecasting Under at Site and Regional Frameworks: A Comparative Evaluation of BART, GPR, and QRF K. Haddad & A. Rahman https://doi.org/10.3390/cli14010021
6. Modeling probabilistic micro-scale wind field for risk forecasts of power transmission systems during tropical cyclones X. Huang & N. Wang https://doi.org/10.1016/j.strusafe.2025.102620
7. Enhancing power grid resilience during tropical cyclones: Deep learning-based real-time wind forecast corrections for dynamic risk prediction Y. Wu et al. https://doi.org/10.1016/j.ress.2025.111284
8. Deep Learning Algorithms for Wind Speed Prediction in Complex Terrain Using Meteorological Data D. Liu et al. https://doi.org/10.3390/atmos17010028