16 citations as recorded by crossref.

1. A GNSS ZTD enhancement framework integrating physical constraints and hybrid neural networks H. Li et al. https://doi.org/10.1016/j.asr.2026.05.078
2. A GNSS PWV filling and short-term forecasting framework fused hybrid neural network H. Li et al. https://doi.org/10.1016/j.atmosres.2025.108508
3. 基于机器学习的风云三号中分辨率光谱成像仪-II陆地气溶胶产品偏差校正方法（特邀） 李. Li Mengnan et al. https://doi.org/10.3788/AOS252008
4. Accuracy evolution of precipitable water vapor products from Medium Resolution Spectral Imager (MERSI) on Fengyun-3 series satellites H. Sun et al. https://doi.org/10.1016/j.asr.2026.06.028
5. Evaluation of oceanic precipitable water vapor products from Microwave Radiation Imager (MWRI) onboard the Fengyun-3D satellite Y. Zhou et al. https://doi.org/10.1016/j.asr.2023.02.033
6. Novel Validation and Calibration Strategy for Total Precipitable Water Products of Fengyun-2 Geostationary Satellites Z. Du et al. https://doi.org/10.1109/TGRS.2023.3295091
7. Evolution of Atmospheric Water Vapor and Cloud Liquid Water During Non- and Pre-Precipitation Conditions over the Middle Yangtze River Basin in the Warm Season W. Zhang et al. https://doi.org/10.3390/rs18101642
8. Improving Fengyun-3D satellite atmospheric precipitable water vapor products through machine learning-based post-processing correction M. Li et al. https://doi.org/10.1016/j.atmosres.2025.108133
9. Constructing High-Precision and Spatial Resolution Precipitable Water Vapor Product Using Multiple Fusion Models Y. Zhou et al. https://doi.org/10.1109/JSTARS.2024.3459051
10. Comprehensive evaluation of the precipitable water vapor products of Fengyun satellites via GNSS data over mainland China Y. Zhou et al. https://doi.org/10.1016/j.atmosres.2024.107235
11. Precipitable water vapor estimation from Himawari-8/AHI observations using a stacking machine learning model Z. Du et al. https://doi.org/10.1016/j.atmosres.2024.107281
12. An Empirical Grid Model for Precipitable Water Vapor X. Wang et al. https://doi.org/10.3390/rs14236174
13. Global total precipitable water variations and trends over the period 1958–2021 N. Wan et al. https://doi.org/10.5194/hess-28-2123-2024
14. Independent Validation of Total Precipitable Water From Morphed Integrated Microwave Imagery at CIMSS: A Global Study Using GNSS and Radiosonde Measurements J. Xu et al. https://doi.org/10.1109/TGRS.2026.3656168
15. Machine Learning-Based Calibration Study of MERSI-II Atmospheric Precipitable Water Vapor Product M. Li https://doi.org/10.54097/xnwft166
16. Research on generating high-precision and high-resolution atmospheric PWV products over mainland China based on multi-source data fusion H. Li et al. https://doi.org/10.1016/j.asr.2026.09.052