Reconstruction and Nowcasting of Rainfall Field by Oblique Earth-Space Links Network: Preliminary Results from Numerical Simulation. - Minghao Xian; Xichuan Liu; Kun Song 002; Taichang Gao (Remote. Sens., 2020)

Rainfall Monitoring Based on Machine Learning by Earth-Space Link in the Ku Band. - Minghao Xian; Xichuan Liu; Min Yin; Kun Song 002; Shijun Zhao; Taichang Gao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Machine Learning Classification of Rainfall Types Based on the Differential Attenuation of Multiple Frequency Microwave Links. - Kang Pu; Xichuan Liu; Minghao Xian; Taichang Gao (IEEE Trans. Geosci. Remote. Sens., 2020)

Statistical Study of Rainfall Inversion Using the Earth-Space Link at the Ku Band: Optimization and Validation for 1 Year of Data. - Yingcheng Zhao; Xichuan Liu; Minghao Xian; Taichang Gao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

An Improvement to Precipitation Inversion Model Using Oblique Earth-Space Link Based on the Melting Layer Attenuation. - Minghao Xian; Xichuan Liu; Taichang Gao (IEEE Trans. Geosci. Remote. Sens., 2021)

Research on the Method of Rainfall Field Retrieval Based on the Combination of Earth-Space Links and Horizontal Microwave Links. - Yingcheng Zhao; Xichuan Liu; Kang Pu; Jin Ye 004; Minghao Xian (Remote. Sens., 2022)

Employing MS-UNets Networks for Multiscale 3-D Gravity Data Inversion: A Case Study in the Nordkapp Basin, Barents Sea. - Rui Wang 123; Yaming Ding; Zhengwei Xu 002; Michael S. Zhdanov; Minghao Xian; Yu Zhang 215; Jun Li; Chao Jiang; Ziqing Guo (IEEE Trans. Geosci. Remote. Sens., 2024)

3-D Basement Relief and Density Inversion Based on EfficientNetV2 Deep Learning Network. - Yu Zhang 215; Zhengwei Xu 002; Minghao Xian; Michael S. Zhdanov; Changjie Lai; Rui Wang 123; Lifeng Mao; Guangdong Zhao (IEEE Trans. Geosci. Remote. Sens., 2024)

ResDM-Net++: An Enhanced Diffusion Model for Gravity Inversion. - Minghao Xian; Zhengwei Xu 002; Yu Zhang 215; Michael S. Zhdanov; Xuben Wang (IEEE Trans. Geosci. Remote. Sens., 2025)