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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:

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

Showing 1-25 of 37 citing articles:

Geobody estimation by Bhattacharyya method utilizing nonlinear inverse modeling of magnetic data in Baba-Ali iron deposit, NW Iran
Pooria Kianoush, Nasser Keshavarz Faraj Khah, Seyed Aliakbar Hosseini, et al.
Heliyon (2023) Vol. 9, Iss. 11, pp. e21115-e21115
Open Access | Times Cited: 17
Object segmentation of near surface magnetic field data based on deep convolutional neural networks
Qiang Li, Zhiqiao Wang, Wenyu Li, et al.
Computers & Geosciences (2025), pp. 105847-105847
Closed Access
The Influence of Model Space Subdivision on Three-Dimensional Magnetic Anomaly Inversion
Bairu Zhao, Houpu Li, Henglei Zhang
Pure and Applied Geophysics (2025)
Closed Access
Deep learning to estimate the basement depth by gravity data using a feedforward neural network
Andrea Vitale, Gianluca Gabbriellini, Maurizio Fedi
Geophysics (2023) Vol. 88, Iss. 3, pp. G95-G103
Closed Access | Times Cited: 12
Deep Learning for 3-D Magnetic Inversion
Zhuo Jia, Yinshuo Li, Yonghao Wang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-10
Closed Access | Times Cited: 12
Three-Dimensional Magnetic Inversion Based on Broad Learning: An Application to the Danzhukeng Pb-Zn-Ag Deposit in South China
Qiang Zu, Peng Han, Peijie Wang, et al.
Minerals (2025) Vol. 15, Iss. 3, pp. 295-295
Open Access
Deep-Learning Gravity Inversion Method with Depth-Weighting Constraints and Its Application in Geothermal Exploration
Shuai Zhou, Yue Wei, Pengyu Lu, et al.
Remote Sensing (2024) Vol. 16, Iss. 23, pp. 4467-4467
Open Access | Times Cited: 3
DecNet: Decomposition network for 3D gravity inversion
Shuang Zhang, Changchun Yin, Xiaoyue Cao, et al.
Geophysics (2022) Vol. 87, Iss. 5, pp. G103-G114
Closed Access | Times Cited: 15
MT2DInv-Unet: A 2D magnetotelluric inversion method based on deep-learning technology
Kejia Pan, Weiwei Ling, Jiajing Zhang, et al.
Geophysics (2023) Vol. 89, Iss. 2, pp. G13-G27
Closed Access | Times Cited: 6
3D Inversion of Magnetic Gradient Tensor Data Based on Convolutional Neural Networks
Hua Deng, Xiangyun Hu, Hongzhu Cai, et al.
Minerals (2022) Vol. 12, Iss. 5, pp. 566-566
Open Access | Times Cited: 10
A Multitask Deep Learning for Simultaneous Denoising and Inversion of 3-D Gravity Data
Lianzhi Zhang, Guibin Zhang, Zhenyu Fan, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-17
Closed Access | Times Cited: 9
Deep Learning Inversion for Multivariate Magnetic Data
Xiaoqing Shi, Zhuo Jia, Hua Geng, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 62, pp. 1-10
Closed Access | Times Cited: 5
3-D Gravity and Magnetic Joint Inversion Based on Deep Learning Combined With Measurement Data Constraint
Jian Jiao, Siyuan Dong, Shuai Zhou, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 62, pp. 1-14
Closed Access | Times Cited: 5
Three-dimensional gravity inversion based on 3D U-Net++
Yufeng Wang, Yujie Zhang, Lihua Fu, et al.
Applied Geophysics (2021) Vol. 18, Iss. 4, pp. 451-460
Closed Access | Times Cited: 11
Estimating Three-Dimensional Resistivity Distribution with Magnetotelluric Data and a Deep Learning Algorithm
Xiaojun Liu, James A. Craven, V Tschirhart, et al.
Remote Sensing (2024) Vol. 16, Iss. 18, pp. 3400-3400
Open Access | Times Cited: 1
Physics-guided deep learning 3D inversion based on magnetic data
Xiaoqing Shi, Zhirui Wang, Xue Lu, et al.
IEEE Geoscience and Remote Sensing Letters (2024) Vol. 22, pp. 1-5
Closed Access | Times Cited: 1
Magnetization Vector Inversion Based on Amplitude and Gradient Constraints
Xiaoqing Shi, Hua-Yun Geng, Shuang Liu
Remote Sensing (2022) Vol. 14, Iss. 21, pp. 5497-5497
Open Access | Times Cited: 6
A deep learning approach to design a borehole instrument for geosteering
Mostafa Shahriari, Arijit Hazra, David Pardo
Geophysics (2021) Vol. 87, Iss. 2, pp. D83-D90
Closed Access | Times Cited: 6
A Novel 2.5D Deep Network Inversion of Gravity Anomalies to Estimate Basement Topography
Zahra Ashena, Hojjat Kabirzadeh, Jeong Woo Kim, et al.
SPE Reservoir Evaluation & Engineering (2023) Vol. 26, Iss. 04, pp. 1484-1497
Closed Access | Times Cited: 2
An ATEM 1D inversion based on K-Means clustering and MLP deep learning
Shi Ming-zhi, Hui Cao
Journal of Geophysics and Engineering (2022) Vol. 19, Iss. 4, pp. 775-787
Open Access | Times Cited: 4
Deep Learning in Geophysics: Current Status, Challenges, and Future Directions
Jiyun Yu, Jongchan Oh, Shinhye Kong, et al.
Journal of the Korean Society of Mineral and Energy Resources Engineers (2024) Vol. 61, Iss. 1, pp. 61-81
Open Access
A Deep Learning Gravity Inversion Method Based on a Self-Constrained Network and Its Application
Shuai Zhou, Yue Wei, Pengyu Lu, et al.
Remote Sensing (2024) Vol. 16, Iss. 6, pp. 995-995
Open Access
Submarine cable positioning using residual convolutional neural network based on magnetic features
Yutao Liu, Yuquan Wu, Liang Huang, et al.
Geophysics (2024) Vol. 89, Iss. 4, pp. G65-G74
Closed Access
Submarine cable detection using an end-to-end neural network-based magnetic data inversion
Yutao Liu, Yuquan Wu, Gang Li, et al.
Journal of Geophysics and Engineering (2024) Vol. 21, Iss. 3, pp. 884-896
Open Access
Recovering 3D Basin Basement Relief Using High‐Precision Magnetic Data Through Random Forest Regression Algorithm: A Case Study of Tianzhen‐Yanggao Sag in Datong Basin
Yuhu Yao, Xinjun Zhang, Kai Wang, et al.
Earth and Space Science (2024) Vol. 11, Iss. 6
Open Access
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