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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Deep learning electromagnetic inversion with convolutional neural networks
Vladimir Puzyrev
Geophysical Journal International (2019) Vol. 218, Iss. 2, pp. 817-832
Open Access | Times Cited: 217

Showing 1-25 of 217 citing articles:

Seismic Impedance Inversion Using Fully Convolutional Residual Network and Transfer Learning
Bangyu Wu, Delin Meng, Lingling Wang, et al.
IEEE Geoscience and Remote Sensing Letters (2020) Vol. 17, Iss. 12, pp. 2140-2144
Closed Access | Times Cited: 133
One-dimensional deep learning inversion of electromagnetic induction data using convolutional neural network
Davood Moghadas
Geophysical Journal International (2020) Vol. 222, Iss. 1, pp. 247-259
Closed Access | Times Cited: 91
Deep-learning seismic full-waveform inversion for realistic structural models
Bin Liu, Senlin Yang, Yuxiao Ren, et al.
Geophysics (2020) Vol. 86, Iss. 1, pp. R31-R44
Closed Access | Times Cited: 80
Physics-driven deep-learning inversion with application to transient electromagnetics
Daniele Colombo, Erşan Türkoğlu, Weichang Li, et al.
Geophysics (2021) Vol. 86, Iss. 3, pp. E209-E224
Closed Access | Times Cited: 67
3D geological structure inversion from Noddy-generated magnetic data using deep learning methods
Jiateng Guo, Yunqiang Li, Mark Jessell, et al.
Computers & Geosciences (2021) Vol. 149, pp. 104701-104701
Closed Access | Times Cited: 65
A Deep Learning Estimation of the Earth Resistivity Model for the Airborne Transient Electromagnetic Observation
Wu X, Guoqiang Xue, Yang Zhao, et al.
Journal of Geophysical Research Solid Earth (2022) Vol. 127, Iss. 3
Closed Access | Times Cited: 39
Fast imaging of time-domain airborne EM data using deep learning technology
Jinfeng Li, Yunhe Liu, Changchun Yin, et al.
Geophysics (2020) Vol. 85, Iss. 5, pp. E163-E170
Closed Access | Times Cited: 68
Inversion of 1D frequency- and time-domain electromagnetic data with convolutional neural networks
Vladimir Puzyrev, Andrei Swidinsky
Computers & Geosciences (2020) Vol. 149, pp. 104681-104681
Open Access | Times Cited: 65
Petrophysical characterization of deep saline aquifers for CO2 storage using ensemble smoother and deep convolutional autoencoder
Mingliang Liu, Darío Graña
Advances in Water Resources (2020) Vol. 142, pp. 103634-103634
Closed Access | Times Cited: 57
Recovering 3D Basement Relief Using Gravity Data Through Convolutional Neural Networks
Siyuan He, Hongzhu Cai, Shuang Liu, et al.
Journal of Geophysical Research Solid Earth (2021) Vol. 126, Iss. 10
Closed Access | Times Cited: 43
Physics-Driven Deep Learning Inversion with Application to Magnetotelluric
Wei Liu, He Wang, Zhenzhu Xi, et al.
Remote Sensing (2022) Vol. 14, Iss. 13, pp. 3218-3218
Open Access | Times Cited: 31
Artificial intelligence for mineral exploration: A review and perspectives on future directions from data science
Fanfan Yang, Renguang Zuo, Oliver P. Kreuzer
Earth-Science Reviews (2024), pp. 104941-104941
Closed Access | Times Cited: 6
Model-Based Synthetic Geoelectric Sampling for Magnetotelluric Inversion With Deep Neural Networks
Ruiheng Li, Nian Yu, Xuben Wang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2020) Vol. 60, pp. 1-14
Closed Access | Times Cited: 45
The Explosion of Artificial Intelligence in Antennas and Propagation: How Deep Learning Is Advancing Our State of the Art
Sawyer D. Campbell, R. Jenkins, Philip O’Connor, et al.
IEEE Antennas and Propagation Magazine (2020) Vol. 63, Iss. 3, pp. 16-27
Closed Access | Times Cited: 40
Convolutional neural network inversion of airborne transient electromagnetic data
Sihong Wu, Qinghua Huang, Li Zhao
Geophysical Prospecting (2021) Vol. 69, Iss. 8-9, pp. 1761-1772
Closed Access | Times Cited: 40
Convolutional neural networks with SegNet architecture applied to three-dimensional tomography of subsurface electrical resistivity: CNN-3D-ERT
M.T. Vu, Abderrahim Jardani
Geophysical Journal International (2021) Vol. 225, Iss. 2, pp. 1319-1331
Open Access | Times Cited: 39
3-D Gravity Inversion Based on Deep Convolution Neural Networks
Qianguo Yang, Xiangyun Hu, Shuang Liu, et al.
IEEE Geoscience and Remote Sensing Letters (2021) Vol. 19, pp. 1-5
Closed Access | Times Cited: 37
Inversion of magnetic data using deep neural networks
Zhenlin Hu, Shuang Liu, Xiangyun Hu, et al.
Physics of The Earth and Planetary Interiors (2021) Vol. 311, pp. 106653-106653
Closed Access | Times Cited: 37
Deep learning audio magnetotellurics inversion using residual-based deep convolution neural network
Zhengguang Liu, Huang Chen, Zhengyong Ren, et al.
Journal of Applied Geophysics (2021) Vol. 188, pp. 104309-104309
Closed Access | Times Cited: 33
Deep Learning for 3-D Inversion of Gravity Data
Lianzhi Zhang, Guibin Zhang, Yao Liu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-18
Closed Access | Times Cited: 32
Deep learning inversion of Rayleigh-wave dispersion curves with geological constraints for near-surface investigations
Xinhua Chen, Jianghai Xia, Jingyin Pang, et al.
Geophysical Journal International (2022) Vol. 231, Iss. 1, pp. 1-14
Closed Access | Times Cited: 24
Unsupervised seismic facies classification using deep convolutional autoencoder
Vladimir Puzyrev, Chris Elders
Geophysics (2022) Vol. 87, Iss. 4, pp. IM125-IM132
Open Access | Times Cited: 23
A depth graph attention-based multi-channel transfer learning network for fluid classification from logging data
Hengxiao Li, Sibo Qiao, Youzhuang Sun
Physics of Fluids (2024) Vol. 36, Iss. 10
Closed Access | Times Cited: 4
Multi-task deep learning for multi-parameter elastic inversion
Duo Li, Peng Jiang, Senlin Yang, et al.
Acta Geophysica (2025)
Closed Access
Resource-Efficient Acoustic Full-Waveform Inversion via Dual-Branch Physics-Informed RNN with Scale Decomposition
Cai Lu, Jijun Liu, Liyuan Qu, et al.
Applied Sciences (2025) Vol. 15, Iss. 2, pp. 941-941
Open Access
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