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[1]第一作者，Interpretable semi-supervised clustering enables universal detection and intensity assessment of diverse aviation hazardous winds.Nature Communications（Nature子刊, 中科院一区TOP期刊, IF: 14.7）, 2024, 15 (1) : 7347.
[2]第一作者，High-Order Taylor Expansion for Wind Field Retrieval Based on Ground-Based Scanning Lidar.IEEE Transactions on Geoscience and Remote Sensing（中科院一区期刊, IF: 7.5）, 2022, 60: 4107914.
[3]第一作者，A Hybrid Method for Fine-Scale Wind Field Retrieval Based on Machine Learning and Data Assimilation.IEEE Transactions on Geoscience and Remote Sensing （中科院一区期刊, IF: 7.5）, 2022, 60: 4107012.
[4]第一作者，Enhancing Aviation Safety: A Feature Fusion Approach for Hazardous Wind Identification.IEEE Transactions on Aerospace and Electronic Systems（JCR一区期刊，IF: 5.7）, 2026
[5]第一作者，A Spatio-Temporal Neural Network for Fine-Scale Wind Field Nowcasting Based on Lidar Observation.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing （JCR一区期刊, IF: 4.7）, 2022, 15: 5596-5606.
[6]第一作者，A Deep Learning-Based Wind Field Nowcasting Method With Extra Attention on Highly Variable Events.IEEE Geoscience and Remote Sensing Letters （JCR二区期刊, IF: 4.0）, 2022, 19: 1006405.
[7]第一作者，Parameter-retrieval of Dry-air Wake Vortices with a Scanning Doppler Lidar.Optics Express, 2018, 26 (13) : 16377.
[8]第一作者，Parameter Retrieval of Aircraft Wake Vortex based on Its Max–Min Distribution of Doppler Velocities Measured by a Lidar.The Journal of Engineering, 2019 (20) : 6852–6855.
[9]第一作者，基于激光雷达探测的三维风场变分反演算法.光学学报, 2021, 41 (20) : 2028002.
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