3-D Marine Controlled-Source Electromagnetic Modeling in Electrically Anisotropic Formations Using Scattered Scalar-Vector Potentials. - Ronghua Peng; Xiangyun Hu; Bin Chen 012; Jianhui Li (IEEE Geosci. Remote. Sens. Lett., 2018)

Deep Learning for Regularly Missing Data Reconstruction. - Xintao Chai; Genyang Tang; Shangxu Wang; Ronghua Peng; Wei Chen 031; Jingnan Li (IEEE Trans. Geosci. Remote. Sens., 2020)

Deep Learning for Irregularly and Regularly Missing 3-D Data Reconstruction. - Xintao Chai; Genyang Tang; Shangxu Wang; Kai Lin; Ronghua Peng (IEEE Trans. Geosci. Remote. Sens., 2021)

3-D Joint Inversion of MT and CSEM Data for Imaging a High-Temperature Geothermal System in Yanggao Region, Shanxi Province, China. - Weiyang Liao; Ronghua Peng; Xiangyun Hu; Wenlong Zhou; Guoshu Huang (IEEE Trans. Geosci. Remote. Sens., 2022)

Identification of Underground Artificial Cavities Based on the Bayesian Convolutional Neural Network. - Jigen Xia; Ronghua Peng; Zhiqiang Li; Junyi Li; Yizhuo He; Gang Li 031 (Sensors, 2023)

Multi-User Localization and Tracking with Spatiotemporal Correlation in Multi-RIS-Assisted Systems. - Ronghua Peng; Peng Gao; Jing You; Lixiang Lian (CoRR, 2024)

Deep Temperature-Field Prediction Utilizing the Temperature-Pressure-Coupled Resistivity Model: A Case Study in the Xiong'an New Area, China. - Guoshu Huang; Xiangyun Hu; Shuang Liu 008; Ronghua Peng; Junjun Zhou; Ningbo Bai; Liang Liu; Mangen Mu (IEEE Trans. Geosci. Remote. Sens., 2024)

Three-Dimensional Inversion of Time-Domain Electromagnetic Data Using Various Loop Source Configurations. - Yajun Liu; Pritam Yogeshwar; Ronghua Peng; Xiangyun Hu; Bo Han; Barbara Blanco-Arrué (IEEE Trans. Geosci. Remote. Sens., 2024)