20 citations as recorded by crossref.

1. 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 10.3390/app15010083
2. Prediction of a Pilot’s Invisible Foe: The Severe Low-Level Wind Shear A. Khattak et al. 10.3390/atmos14010037
3. 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 10.1155/2016/1454513
4. A Machine Learning-Based Model for Flight Turbulence Identification Using LiDAR Data Z. Zhuang et al. 10.3390/atmos14050797
5. Wind Shear Prediction from Light Detection and Ranging Data Using Machine Learning Methods J. Huang et al. 10.3390/atmos12050644
6. Assessing wind field characteristics along the airport runway glide slope: an explainable boosting machine-assisted wind tunnel study A. Khattak et al. 10.1038/s41598-023-36495-5
7. Study on the influence of topography on wind shear numerical simulations based on WRF–CALMET X. Wang et al. 10.5194/gi-13-277-2024
8. Historical analysis (2001–2019) of low‐level wind shear at the Hong Kong International Airport K. Hon & P. Chan 10.1002/met.2063
9. Estimating Wind Shear Magnitude Near Runways at Hong Kong International Airport Using an Interpretable Local Cascade Ensemble Strategy A. Khattak et al. 10.1007/s13143-024-00351-x
10. Wind speed vector restoration algorithm N. Baranov et al. 10.1051/epjconf/201817606012
11. Impact of Lidar Data Assimilation on Low-Level Wind Shear Simulation at Lanzhou Zhongchuan International Airport, China: A Case Study L. Li et al. 10.3390/atmos11121342
12. Observation and Numerical Simulation of a Windshear Case at an Airport in the Qinghai-Tibet Plateau P. Chan et al. 10.3390/app142310981
13. Improving Lidar Windshear Detection Efficiency by Removal of “Gentle Ramps” K. Hon & P. Chan 10.3390/atmos12111539
14. 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. 10.3390/atmos15010020
15. Low-Level Wind Shear Characteristics and Lidar-Based Alerting at Lanzhou Zhongchuan International Airport, China L. Li et al. 10.1007/s13351-020-9134-6
16. 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. 10.3390/atmos14101561
17. Deep ResNet Strategy for the Classification of Wind Shear Intensity Near Airport Runway A. Khattak et al. 10.32604/cmes.2025.059914
18. Inter-Comparison of Ensemble Forecasts for Low Level Wind Shear against Local Analyses Data over Jeju Area Y. Lee et al. 10.3390/atmos11020198
19. Characterization of Low-Level Wind Shear Induced by Convective Weather J. Pan & L. Feng 10.69928/AS2024000232
20. Prediction of Low Level Wind Shear Using High Resolution Numerical Weather Prediction Model at the Jeju International Airport, Korea G. Kim et al. 10.12985/ksaa.2021.29.4.088