25 citations as recorded by crossref.

1. Prediction of a Pilot’s Invisible Foe: The Severe Low-Level Wind Shear A. Khattak et al. https://doi.org/10.3390/atmos14010037
2. LIDAR Observation and Numerical Simulation of Building-Induced Airflow Disturbances and Their Potential Impact on Aircraft Operation at an Operating Airport K. Lo et al. https://doi.org/10.3390/app16010404
3. Study on the influence of topography on wind shear numerical simulations based on WRF–CALMET X. Wang et al. https://doi.org/10.5194/gi-13-277-2024
4. Impact of Lidar Data Assimilation on Low-Level Wind Shear Simulation at Lanzhou Zhongchuan International Airport, China: A Case Study L. Li et al. https://doi.org/10.3390/atmos11121342
5. Observation and Numerical Simulation of a Windshear Case at an Airport in the Qinghai-Tibet Plateau P. Chan et al. https://doi.org/10.3390/app142310981
6. Improving Lidar Windshear Detection Efficiency by Removal of “Gentle Ramps” K. Hon & P. Chan https://doi.org/10.3390/atmos12111539
7. Relief or Aggravation? A 31-Year study of sea-Land Breezes and Their Impacts on Coastal Heat Stress C. Di Napoli et al. https://doi.org/10.1007/s41748-025-00917-3
8. Inter-Comparison of Ensemble Forecasts for Low Level Wind Shear against Local Analyses Data over Jeju Area Y. Lee et al. https://doi.org/10.3390/atmos11020198
9. Characterization of Low-Level Wind Shear Induced by Convective Weather J. Pan & L. Feng https://doi.org/10.69928/AS2024000232
10. Evidence of Terrain-Induced Windshear Due to Lantau Island over the Third Runway of the Hong Kong International Airport—Examples and Numerical Simulations P. Chan & K. Lai https://doi.org/10.3390/app15010083
11. Observation and Numerical Simulation of Terrain-Induced Windshear at the Hong Kong International Airport in a Planetary Boundary Layer without Temperature Inversions P. Chan & K. Hon https://doi.org/10.1155/2016/1454513
12. A Machine Learning-Based Model for Flight Turbulence Identification Using LiDAR Data Z. Zhuang et al. https://doi.org/10.3390/atmos14050797
13. Wind Shear Prediction from Light Detection and Ranging Data Using Machine Learning Methods J. Huang et al. https://doi.org/10.3390/atmos12050644
14. LIDAR observations of building wakes at the Hong Kong International Airport and their numerical simulations K. Lo et al. https://doi.org/10.1016/j.uclim.2025.102720
15. Low-Level Wind Shear Characteristics in the Qinghai-Tibet Plateau by Long-Term Wind Lidar Observations and the Improved Algorithm H. Ding et al. https://doi.org/10.3390/atmos17010006
16. Assessing wind field characteristics along the airport runway glide slope: an explainable boosting machine-assisted wind tunnel study A. Khattak et al. https://doi.org/10.1038/s41598-023-36495-5
17. Historical analysis (2001–2019) of low‐level wind shear at the Hong Kong International Airport K. Hon & P. Chan https://doi.org/10.1002/met.2063
18. Estimating Wind Shear Magnitude Near Runways at Hong Kong International Airport Using an Interpretable Local Cascade Ensemble Strategy A. Khattak et al. https://doi.org/10.1007/s13143-024-00351-x
19. Wind speed vector restoration algorithm N. Baranov et al. https://doi.org/10.1051/epjconf/201817606012
20. High-Resolution Numerical Weather Simulation of Three Windshear Events at an Airport on the Qinghai–Tibet Plateau X. Huang et al. https://doi.org/10.3390/app15179442
21. Explainable Boosting Machine: A Contemporary Glass-Box Strategy for the Assessment of Wind Shear Severity in the Runway Vicinity Based on the Doppler Light Detection and Ranging Data A. Khattak et al. https://doi.org/10.3390/atmos15010020
22. Low-Level Wind Shear Characteristics and Lidar-Based Alerting at Lanzhou Zhongchuan International Airport, China L. Li et al. https://doi.org/10.1007/s13351-020-9134-6
23. Assessment of Crosswind Speed over the Runway Glide Path Using an Interpretable Local Cascade Ensemble Approach Aided by Wind Tunnel Experiments A. Khattak et al. https://doi.org/10.3390/atmos14101561
24. Deep ResNet Strategy for the Classification of Wind Shear Intensity Near Airport Runway A. Khattak et al. https://doi.org/10.32604/cmes.2025.059914
25. Prediction of Low Level Wind Shear Using High Resolution Numerical Weather Prediction Model at the Jeju International Airport, Korea G. Kim et al. https://doi.org/10.12985/ksaa.2021.29.4.088