Using digital imagers to characterize the dependence of energy and area distributions of SEUs on elevation. - Glenn H. Chapman; Rohan Thomas; Klinsmann J. Coelho Silva Meneses; Ruoyi Zhao; Israel Koren; Zahava Koren (DFT, 2020)

Analysis of Land Surface Performance Differences and Uncertainty in Multiple Versions of MODIS LST Products. - Ruoyi Zhao; Wenping Yu; Xiangyi Deng; Yajun Huang; Wen Yang; Wei Zhou (Remote. Sens., 2024)

An AI Framework to Obtain High-Accurate and Fine-Resolution LST From Passive Microwave Remote Sensing. - Xiangyi Deng; Wenping Yu; Wei Zhou; Jinan Shi; Yinping Long; Junlei Tan; Yajun Huang; Ruoyi Zhao; Wen Yang; Xiao-Jing Han (IEEE Trans. Geosci. Remote. Sens., 2024)

Evaluating Spatial Representativeness Across Multiple Scales for a Comprehensive Ground Validation Network Using Landsat Land Surface Temperature Data and Random Forest. - Xuanwei He; Xiangyang Liu; Chen Ru; Xiangyi Deng; Ruoyi Zhao; Wenping Yu (IEEE Trans. Geosci. Remote. Sens., 2025)

Converting T1-weighted MRI from 3T to 7T quality using deep learning. - Malo Gicquel; Ruoyi Zhao; Anika Wuestefeld; Nicola Spotorno; Olof Strandberg; Kalle Åström; Yu Xiao; Laura E. M. Wisse; Danielle van Westen; Rik Ossenkoppele; Niklas Mattsson-Carlgren; David Berron; et al. (CoRR, 2025)