8 citations as recorded by crossref.

1. Deep-learning-driven simulations of boundary layer clouds over the Southern Great Plains T. Su & Y. Zhang
2. Estimating Planetary Boundary Layer Height over Central Amazonia Using Random Forest P. Silva et al.
3. Thermodynamics-guided machine learning model for predicting convective boundary layer height and its multi-site applicability Y. Chu et al.
4. Mixed layer height retrievals using MicroPulse Differential Absorption Lidar L. Colberg et al.
5. Improved estimation of diurnal variations in near-global PBLH through a hybrid WCT and transfer learning approach Y. Li et al.
6. Best estimate of the planetary boundary layer height from multiple remote sensing measurements D. Zhang et al.
7. Hybrid CNN–LGBM Model for Planetary Boundary Layer Height Estimation Combined With Temporal–Height–Spatial Features D. Zhao et al.
8. Integrating Thermodynamic Priors and Spatiotemporal Features into a Physics-Guided Deep Learning Framework for Cloud Radar Clear-Air Echo Identification J. Wang et al.