Nian Yu
Orcid: 0000-0002-8497-2426
According to our database1,
Nian Yu
authored at least 12 papers
between 2021 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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2022
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2025
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Online presence:
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Bibliography
2025
A two-dimensional magnetotelluric deep learning inversion approach based on improved Dense Convolutional Network.
Comput. Geosci., 2025
2024
Three-Dimensional Unstructured Finite Element Modeling of Magnetotelluric Problems Allowing for Continuous Variation of Conductivity in Each Block.
IEEE Trans. Geosci. Remote. Sens., 2024
Unstructured Grid Finite Element Modeling of the Three-Dimensional Magnetotelluric Responses in a Model With Arbitrary Conductivity and Magnetic Susceptibility Anisotropies.
IEEE Trans. Geosci. Remote. Sens., 2024
IEEE Trans. Geosci. Remote. Sens., 2024
2023
An adaptive hybrid grids finite-element approach for plane wave three-dimensional electromagnetic modeling.
Comput. Geosci., November, 2023
Advancing CO<sub>2</sub> Storage Monitoring via Cross-Borehole Apparent Resistivity Imaging Simulation.
IEEE Trans. Geosci. Remote. Sens., 2023
A Gradient Scaling Scheme for the 3-D Magnetotelluric Inversion With Galvanic Distortion Correction.
IEEE Trans. Geosci. Remote. Sens., 2023
2022
Model-Based Synthetic Geoelectric Sampling for Magnetotelluric Inversion With Deep Neural Networks.
IEEE Trans. Geosci. Remote. Sens., 2022
Hybrid Memetic Pretrained Factor Analysis-Based Deep Belief Networks for Transient Electromagnetic Inversion.
IEEE Trans. Geosci. Remote. Sens., 2022
A hybrid grid-based finite-element approach for three-dimensional magnetotelluric forward modeling in general anisotropic media.
Comput. Geosci., 2022
2021
Pore type identification in carbonate rocks using convolutional neural network based on acoustic logging data.
Neural Comput. Appl., 2021
IEEE Access, 2021