33 citations as recorded by crossref.

1. An accurate detection method for turbine icing issues using LSTM network M. Li & X. He https://doi.org/10.1088/1755-1315/237/3/032109
2. Measurement of Atmospheric Icing and Droplets S. Rydblom & B. Thornberg https://doi.org/10.1109/TIM.2020.2966313
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5. Analysis of upper air detection above frozen wind turbine in high-altitude mountains T. Feng et al. https://doi.org/10.1051/e3sconf/202126003008
6. Design and durability study of environmental-friendly room-temperature processable icephobic coatings X. Wu et al. https://doi.org/10.1016/j.cej.2018.07.204
7. Modification of Airfoil Thickness and Maximum Camber by Inverse Design for Operation Under Icing Conditions I. Rotich & L. Kollár https://doi.org/10.3390/modelling6030064
8. Ice protection systems for wind turbines in cold climate: characteristics, comparisons and analysis O. Fakorede et al. https://doi.org/10.1016/j.rser.2016.06.080
9. Wind turbine blade ice accretion: A correlation with nacelle ice accretion N. Jolin et al. https://doi.org/10.1016/j.coldregions.2018.10.009
10. A Survey of the Quasi-3D Modeling of Wind Turbine Icing F. Martini et al. https://doi.org/10.3390/en15238998
11. Superhydrophobic Fabrics with Mechanical Durability Prepared by a Two-Step Plasma Processing Method K. Ellinas et al. https://doi.org/10.3390/coatings8100351
12. Wind and solar generation may reduce the inter-annual variability of peak residual load in certain electricity systems T. Ruggles & K. Caldeira https://doi.org/10.1016/j.apenergy.2021.117773
13. Coupled Atmospheric–Ice Load Model for Evaluation of Wind Plant Power Loss J. Yang et al. https://doi.org/10.1175/JAMC-D-14-0125.1
14. Icing Models and Mitigation Methods for Offshore Wind in Cold Climate Regions: A Review Y. Gu et al. https://doi.org/10.70322/mer.2024.10002
15. Investigation of wettability and icing on the steel surface using laser surface treatment S. Baek & D. Lee https://doi.org/10.1016/j.matchemphys.2024.130079
16. Flow and heat transfer characteristics during frosting on horizontal cold plate under forced convection conditions L. Dong et al. https://doi.org/10.1016/j.applthermaleng.2026.130634
17. Evaluation of operational strategies on wind turbine power production during short icing events S. Hildebrandt & Q. Sun https://doi.org/10.1016/j.jweia.2021.104795
18. An effect assessment and prediction method of ultrasonic de-icing for composite wind turbine blades Y. Wang et al. https://doi.org/10.1016/j.renene.2017.10.074
19. Microwave-Assisted Rapid Deicing of Metallic Wire Stitched GFRP Composites H. Kim et al. https://doi.org/10.1016/j.compositesb.2026.114139
20. Ice friction: A brief review of the influencing factors and experimental methods E. Jansons et al. https://doi.org/10.26599/FRICT.2025.9441076
21. A Hybrid Model Based on Back-Propagation Neural Network and Optimized Support Vector Machine with Particle Swarm Algorithm for Assessing Blade Icing on Wind Turbines X. Li et al. https://doi.org/10.32604/EE.2021.015542
22. Production of a Numerical Icing Atlas for Finland K. Hämäläinen & S. Niemelä https://doi.org/10.1002/we.1998
23. Wind turbine performance in high-alpine terrain as influenced by temperature, snow cover and turbulence J. Gasser et al. https://doi.org/10.1016/j.egyr.2026.109322
24. Research on wind turbine icing prediction data processing and accuracy of machine learning algorithm L. Zhang et al. https://doi.org/10.1016/j.renene.2024.121566
25. Review of Wind Turbine Icing Modelling Approaches F. Martini et al. https://doi.org/10.3390/en14165207
26. Progress in Icephobic Coatings for Wind Turbine Protection: Merging Chemical Innovation with Practical Implementation G. Minoofar et al. https://doi.org/10.3390/cryst15020139
27. Advances in wind power forecasting and power loss mitigation for cold climate operation R. Kilpatrick et al. https://doi.org/10.1088/1742-6596/1452/1/012079
28. An Investigation of Atmospheric Icing Effects on Wind Turbine Blade Aerodynamics and Power Output: A Case Study of the NREL 5 MW Turbine B. Öztürk & E. Koçak https://doi.org/10.3390/app16062991
29. Experimental Study on Anti-Icing and Deicing for Model Wind Turbine Blades with Continuous Carbon Fiber Sheets B. Xu et al. https://doi.org/10.1061/(ASCE)CR.1943-5495.0000150
30. Analysis of derating and anti-icing strategies for wind turbines in cold climates D. Stoyanov et al. https://doi.org/10.1016/j.apenergy.2021.116610
31. Research progress of pavement icing status recognition and icing sensor P. Guo et al. https://doi.org/10.1016/j.jtte.2024.09.016
32. Numerical simulations on static Vertical Axis Wind Turbine blade icing R. Manatbayev et al. https://doi.org/10.1016/j.renene.2021.02.023
33. Machine- and deep-learning models for wind turbine icing prediction across multiple horizons: the influence of ice sensors and weather forecasts A. Kallarappayi et al. https://doi.org/10.1016/j.coldregions.2026.104940