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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:

Multitask learning for local seismic image processing: fault detection, structure-oriented smoothing with edge-preserving, and seismic normal estimation by using a single convolutional neural network
Xinming Wu, Luming Liang, Yunzhi Shi, et al.
Geophysical Journal International (2019) Vol. 219, Iss. 3, pp. 2097-2109
Closed Access | Times Cited: 66

Showing 1-25 of 66 citing articles:

Deep Learning Seismic Random Noise Attenuation via Improved Residual Convolutional Neural Network
Liuqing Yang, Wei Chen, Hang Wang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 59, Iss. 9, pp. 7968-7981
Closed Access | Times Cited: 62
Robust deep learning seismic inversion witha prioriinitial model constraint
Jian Zhang, Jingye Li, Xiaohong Chen, et al.
Geophysical Journal International (2021) Vol. 225, Iss. 3, pp. 2001-2019
Closed Access | Times Cited: 56
Applications of deep neural networks in exploration seismology: A technical survey
S. Mostafa Mousavi, Gregory C. Beroza, Tapan Mukerji, et al.
Geophysics (2023) Vol. 89, Iss. 1, pp. WA95-WA115
Closed Access | Times Cited: 37
Current state and future directions for deep learning based automatic seismic fault interpretation: A systematic review
Yu An, Haiwen Du, Siteng Ma, et al.
Earth-Science Reviews (2023) Vol. 243, pp. 104509-104509
Open Access | Times Cited: 23
Deep Learning for Extracting Dispersion Curves
Tianyu Dai, Jianghai Xia, Ning Ling, et al.
Surveys in Geophysics (2020) Vol. 42, Iss. 1, pp. 69-95
Closed Access | Times Cited: 58
Deep learning for velocity model building with common-image gather volumes
Zhicheng Geng, Zeyu Zhao, Yunzhi Shi, et al.
Geophysical Journal International (2021) Vol. 228, Iss. 2, pp. 1054-1070
Closed Access | Times Cited: 37
GPRI2Net: A Deep-Neural-Network-Based Ground Penetrating Radar Data Inversion and Object Identification Framework for Consecutive and Long Survey Lines
Jing Wang, Hanchi Liu, Peng Jiang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-20
Closed Access | Times Cited: 33
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
Machine learning for subsurface geological feature identification from seismic data: Methods, datasets, challenges, and opportunities
Lei Lin, Zhi Zhong, Chenglong Li, et al.
Earth-Science Reviews (2024) Vol. 257, pp. 104887-104887
Closed Access | Times Cited: 4
Deep transfer learning for seismic characterization of strike-slip faults in karstified carbonates from the northern Tarim basin
Jiawei Liu, Guanghui Wu, Lixin Chen, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Data-driven S-wave velocity prediction method via a deep-learning-based deep convolutional gated recurrent unit fusion network
Jun Wang, Junxing Cao
Geophysics (2021) Vol. 86, Iss. 6, pp. M185-M196
Closed Access | Times Cited: 31
Seismic Dip Estimation With a Domain Knowledge Constrained Transfer Learning Approach
Yile Ao, Wenkai Lu, Pengcheng Xu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-16
Closed Access | Times Cited: 30
Building Complex Seismic Velocity Models for Deep Learning Inversion
Yuxiao Ren, Lichao Nie, Senlin Yang, et al.
IEEE Access (2021) Vol. 9, pp. 63767-63778
Open Access | Times Cited: 28
Improving Performance of Seismic Fault Detection by Fine-Tuning the Convolutional Neural Network Pre-Trained with Synthetic Samples
Zhe Yan, Zheng Zhang, Shaoyong Liu
Energies (2021) Vol. 14, Iss. 12, pp. 3650-3650
Open Access | Times Cited: 23
Structural smoothing on mixed instantaneous phase energy for automatic fault and horizon picking: case study on F3 North Sea
Mohammad Reza Safari, Kioumars Taheri, Hosein Hashemi, et al.
Journal of Petroleum Exploration and Production Technology (2022) Vol. 13, Iss. 3, pp. 775-785
Open Access | Times Cited: 18
A deep learning network for estimation of seismic local slopes
Weilin Huang, Fei Gao, Jianping Liao, et al.
Petroleum Science (2020) Vol. 18, Iss. 1, pp. 92-105
Open Access | Times Cited: 26
Seismic Structural Curvature Volume Extraction With Convolutional Neural Networks
Yile Ao, Wenkai Lu, Bowu Jiang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2020) Vol. 59, Iss. 9, pp. 7370-7384
Closed Access | Times Cited: 26
Deep learning for multitrace sparse-spike deconvolution
Xintao Chai, Genyang Tang, Kai Lin, et al.
Geophysics (2021) Vol. 86, Iss. 3, pp. V207-V218
Closed Access | Times Cited: 22
Domain knowledge-guided data-driven prestack seismic inversion using deep learning
Jian Zhang, Xiaoyan Zhao, Yangkang Chen, et al.
Geophysics (2022) Vol. 88, Iss. 2, pp. M31-M47
Closed Access | Times Cited: 14
Machine-learning inversion via adaptive learning and statistical sampling: Application to airborne micro-TEM for seismic sand corrections
Daniele Colombo, Erşan Türkoğlu, Ernesto Sandoval‐Curiel, et al.
Geophysics (2023) Vol. 88, Iss. 3, pp. K51-K68
Closed Access | Times Cited: 8
A Three-Dimensional Geological Structure Modeling Framework and Its Application in Machine Learning
Shenghou Wang, Zhongxian Cai, Xu Si, et al.
Mathematical Geosciences (2022) Vol. 55, Iss. 2, pp. 163-200
Closed Access | Times Cited: 13
Auto-Detection Method Using Convolution Neural Network for Bottom-Simulating Reflectors
Haowei Xu, Junhui Xing, Boxue Yang, et al.
Journal of Ocean University of China (2024) Vol. 23, Iss. 3, pp. 683-694
Closed Access | Times Cited: 2
Deep convolutional neural network and sparse least-squares migration
Zhaolun Liu, Yuqing Chen, Gerard T. Schuster
Geophysics (2020) Vol. 85, Iss. 4, pp. WA241-WA253
Open Access | Times Cited: 20
Simultaneous Seismic Deep Attribute Extraction and Attribute Fusion
Kunhong Li, Jingjing Zong, Yifeng Fei, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-10
Closed Access | Times Cited: 16
Automatically Extracting Surface-Wave Group and Phase Velocity Dispersion Curves from Dispersion Spectrograms Using a Convolutional Neural Network
Shaobo Yang, Haijiang Zhang, Ning Gu, et al.
Seismological Research Letters (2022) Vol. 93, Iss. 3, pp. 1549-1563
Closed Access | Times Cited: 12
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