Reconstructing All-Weather Land Surface Temperature Using the Bayesian Maximum Entropy Method Over the Tibetan Plateau and Heihe River Basin. - Shuo Xu 002; Jie Cheng 001; Quan Zhang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

A Stepwise Downscaling Method for Generating High-Resolution Land Surface Temperature From AMSR-E Data. - Quan Zhang; Ninglian Wang; Jie Cheng 001; Shuo Xu 002 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

A Random Forest-Based Data Fusion Method for Obtaining All-Weather Land Surface Temperature with High Spatial Resolution. - Shuo Xu 002; Jie Cheng 001; Quan Zhang (Remote. Sens., 2021)

Assessing the Reliability of the MODIS LST Product to Detect Temporal Variability. - Shuo Xu 002; Dongdong Wang 001; Shunlin Liang; Yuling Liu; Aolin Jia (IEEE Geosci. Remote. Sens. Lett., 2023)

Assessment of gridded datasets of various near surface temperature variables over Heihe River Basin: Uncertainties, spatial heterogeneity and clear-sky bias. - Shuo Xu 002; Dongdong Wang 001; Shunlin Liang; Yuling Liu; Aolin Jia (Int. J. Appl. Earth Obs. Geoinformation, 2023)

SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models. - Zhihao Wang; Yiqun Xie; Zhili Li; Xiaowei Jia; Zhe Jiang 001; Aolin Jia; Shuo Xu 002 (AAAI, 2024)