| De-noising of transient electromagnetic data based on the long short-term memory-autoencoder S Wu, Q Huang, L Zhao Geophysical Journal International 224 (1), 669-681, 2021 | 63 | 2021 |
| Instantaneous inversion of airborne electromagnetic data based on deep learning S Wu, Q Huang, L Zhao Geophysical Research Letters 49 (10), e2021GL097165, 2022 | 50 | 2022 |
| Convolutional neural network inversion of airborne transient electromagnetic data S Wu, Q Huang, L Zhao Geophysical Prospecting 69 (8-9), 1761-1772, 2021 | 47 | 2021 |
| Application of long short-term memory neural network in geoelectric field data processing KX WANG, QH HUANG, SH WU Chinese Journal of Geophysics 63 (8), 3015-3024, 2020 | 29 | 2020 |
| A deep learning-based network for the simulation of airborne electromagnetic responses S Wu, Q Huang, L Zhao Geophysical Journal International 233 (1), 253-263, 2023 | 19 | 2023 |
| LSTM-autoencoder network for the detection of seismic electric signals J Xue, Q Huang, S Wu, T Nagao IEEE Transactions on Geoscience and Remote Sensing 60, 1-12, 2022 | 14 | 2022 |
| Fast Bayesian inversion of airborne electromagnetic data based on the invertible neural network S Wu, Q Huang, L Zhao IEEE Transactions on Geoscience and Remote Sensing 61, 1-11, 2023 | 11 | 2023 |
| RASE: a real-time automatic search engine for anomalous seismic electric signals in geoelectric data J Xue, S Wu, Q Huang, L Zhao, NV Sarlis, PA Varotsos IEEE Transactions on Geoscience and Remote Sensing 61, 1-11, 2023 | 7 | 2023 |
| Physics-guided deep learning-based inversion for airborne electromagnetic data S Wu, Q Huang, L Zhao Geophysical Journal International 238 (3), 1774-1789, 2024 | 2 | 2024 |
| Real-time dual-parameter full-waveform inversion of GPR data based on robust deep learning J Xue, Q Huang, S Wu, L Zhao, B Ma Geophysical Journal International 238 (3), 1755-1771, 2024 | 1 | 2024 |
| Detection of ULF Geomagnetic Anomalies Prior to the Tohoku-Oki Earthquake by the Multi-reference Station Method J Xue, Q Huang, S Wu, L Zhao IEEE Transactions on Geoscience and Remote Sensing, 2024 | 1 | 2024 |
| Characterizing marine magnetic anomalies: A machine learning approach to advancing the understanding of oceanic crust formation S Wu, S Thoram, J Sun, WW Sager, J Chen Journal of Geophysical Research: Solid Earth 130 (2), e2024JB030682, 2025 | | 2025 |
| Identifying Natural Hydrogen Reservoirs Through Integrated 3D Aeromagnetic and Gravity Data Inversion in Bartlett Springs Fault Zone in Northern California Y Su, S Wu, J Sun, L Lu, X Wu, Y Huang, J Chen AGU24, 2024 | | 2024 |
| Advances in Multimethod Geophysical Data Interpretation and Other Applications of Machine Learning I Oral D Ntarlagiannis, AF Orozco, E Van De Vijver, A Parsekian, A Plattner, ... AGU24, 2024 | | 2024 |
| Fast model uncertainty evaluation of airborne frequency-domain electromagnetic data inversion based on deep learning S Wu, J Sun, J Chen AGU24, 2024 | | 2024 |
| Transforming the interpretation of marine magnetic anomalies through a machine learning-based framework S Wu, S Thoram, J Sun, WW Sager, J Chen AGU24, 2024 | | 2024 |
| Leveraging Machine Learning for Mineral Exploration: Invertible Neural Network in Magnetotelluric Data Inversion and Quantifying Uncertainties D Kalu, S Wu, J Sun AGU24, 2024 | | 2024 |
| Bayesian inference of airborne electromagnetic data based on normalizing flows J Sun, S Wu, Z Yin, J Chen AGU24, 2024 | | 2024 |
| Airborne electromagnetic data interpretation with deep learning-based stochastic inversion and posterior distribution clustering with application to salinization detection S Wu, J Sun, J Chen International Workshop on Gravity, Electrical & Magnetic Methods and Their …, 2024 | | 2024 |
| Near real-time subsurface structure imaging using airborne electromagnetic data based on deep learning S Wu, Q Huang, L Zhao EGU General Assembly Conference Abstracts, EGU-11690, 2023 | | 2023 |
