Vulnerability analysis of an urban gas pipeline network considering pipeline-road dependency. - Kai Liu 027; Ming Wang; Weihua Zhu; Jinshan Wu; Xiaoyong Yan (Int. J. Crit. Infrastructure Prot., 2018)

Seasonal and Interannual Variations in China's Groundwater Based on GRACE Data and Multisource Hydrological Models. - Jianxin Zhang 002; Kai Liu 027; Ming Wang (Remote. Sens., 2020)

Robustness of the Chinese power grid to cascading failures under attack and defense strategies. - Kaiwen Li; Kai Liu 027; Ming Wang (Int. J. Crit. Infrastructure Prot., 2021)

Landslide and Wildfire Susceptibility Assessment in Southeast Asia Using Ensemble Machine Learning Methods. - Qian He; Ziyu Jiang; Ming Wang; Kai Liu 027 (Remote. Sens., 2021)

Downscaling Groundwater Storage Data in China to a 1-km Resolution Using Machine Learning Methods. - Jianxin Zhang 002; Kai Liu 027; Ming Wang (Remote. Sens., 2021)

Global Dynamic Rainfall-Induced Landslide Susceptibility Mapping Using Machine Learning. - Bohao Li; Kai Liu 027; Ming Wang; Qian He; Ziyu Jiang; Weihua Zhu; Ningning Qiao (Remote. Sens., 2022)

Drivers of Groundwater Change in China and Future Projections. - Kai Liu 027; Jianxin Zhang 002; Ming Wang (Remote. Sens., 2022)

Comparisons of Convolutional Neural Network and Other Machine Learning Methods in Landslide Susceptibility Assessment: A Case Study in Pingwu. - Ziyu Jiang; Ming Wang; Kai Liu 027 (Remote. Sens., 2023)

High-spatiotemporal-resolution dynamic water monitoring using LightGBM model and Sentinel-2 MSI data. - Bohao Li; Kai Liu 027; Ming Wang; Yanfang Wang; Qian He; Linmei Zhuang; Weihua Zhu (Int. J. Appl. Earth Obs. Geoinformation, 2023)

A Residual Neural Network Integrated with a Hydrological Model for Global Flood Susceptibility Mapping Based on Remote Sensing Datasets. - Junfei Liu; Kai Liu 027; Ming Wang (Remote. Sens., 2023)