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:

Seismic Signal Denoising and Decomposition Using Deep Neural Networks
Weiqiang Zhu, S. Mostafa Mousavi, Gregory C. Beroza
IEEE Transactions on Geoscience and Remote Sensing (2019) Vol. 57, Iss. 11, pp. 9476-9488
Open Access | Times Cited: 92

Showing 1-25 of 92 citing articles:

Deep Learning for Geophysics: Current and Future Trends
Siwei Yu, Jianwei Ma
Reviews of Geophysics (2021) Vol. 59, Iss. 3
Open Access | Times Cited: 315

STanford EArthquake Dataset (STEAD): A Global Data Set of Seismic Signals for AI
S. Mostafa Mousavi, Yixiao Sheng, Weiqiang Zhu, et al.
IEEE Access (2019) Vol. 7, pp. 179464-179476
Open Access | Times Cited: 307

CRED: A Deep Residual Network of Convolutional and Recurrent Units for Earthquake Signal Detection
S. Mostafa Mousavi, Weiqiang Zhu, Yixiao Sheng, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 301

A Machine‐Learning Approach for Earthquake Magnitude Estimation
S. Mostafa Mousavi, Gregory C. Beroza
Geophysical Research Letters (2019) Vol. 47, Iss. 1
Open Access | Times Cited: 233

Physics‐Informed Neural Networks (PINNs) for Wave Propagation and Full Waveform Inversions
Majid Rasht‐Behesht, Christian Huber, Khemraj Shukla, et al.
Journal of Geophysical Research Solid Earth (2022) Vol. 127, Iss. 5
Open Access | Times Cited: 196

Deep learning for geological hazards analysis: Data, models, applications, and opportunities
Zhengjing Ma, Gang Mei
Earth-Science Reviews (2021) Vol. 223, pp. 103858-103858
Open Access | Times Cited: 193

A fully unsupervised and highly generalized deep learning approach for random noise suppression
Omar M. Saad, Yangkang Chen
Geophysical Prospecting (2020) Vol. 69, Iss. 4, pp. 709-726
Closed Access | Times Cited: 80

Facies Identification Based on Multikernel Relevance Vector Machine
Xingye Liu, Xiaohong Chen, Jingye Li, et al.
IEEE Transactions on Geoscience and Remote Sensing (2020) Vol. 58, Iss. 10, pp. 7269-7282
Closed Access | Times Cited: 76

INSTANCE – the Italian seismic dataset for machine learning
Alberto Michelini, S. Cianetti, Sonja Gaviano, et al.
Earth system science data (2021) Vol. 13, Iss. 12, pp. 5509-5544
Open Access | Times Cited: 73

SCALODEEP: A Highly Generalized Deep Learning Framework for Real‐Time Earthquake Detection
Omar M. Saad, Guangtan Huang, Yunfeng Chen, et al.
Journal of Geophysical Research Solid Earth (2021) Vol. 126, Iss. 4
Closed Access | Times Cited: 65

SeismoGen: Seismic Waveform Synthesis Using GAN With Application to Seismic Data Augmentation
Tiantong Wang, Daniel T. Trugman, Youzuo Lin
Journal of Geophysical Research Solid Earth (2021) Vol. 126, Iss. 4
Closed Access | Times Cited: 58

Pairwise Association of Seismic Arrivals with Convolutional Neural Networks
Ian W. McBrearty, A. A. Delorey, Paul A. Johnson
Seismological Research Letters (2019) Vol. 90, Iss. 2A, pp. 503-509
Open Access | Times Cited: 70

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

Seismic Noise Attenuation Using Unsupervised Sparse Feature Learning
Mi Zhang, Yang Liu, Min Bai, et al.
IEEE Transactions on Geoscience and Remote Sensing (2019) Vol. 57, Iss. 12, pp. 9709-9723
Closed Access | Times Cited: 59

Seismic signal augmentation to improve generalization of deep neural networks
Weiqiang Zhu, S. Mostafa Mousavi, Gregory C. Beroza
Advances in geophysics (2020), pp. 151-177
Open Access | Times Cited: 57

Earthquake Detection and P-Wave Arrival Time Picking Using Capsule Neural Network
Omar M. Saad, Yangkang Chen
IEEE Transactions on Geoscience and Remote Sensing (2020) Vol. 59, Iss. 7, pp. 6234-6243
Closed Access | Times Cited: 54

Current and future role of data fusion and machine learning in infrastructure health monitoring
Hao Wang, Giorgio Barone, Alister Smith
Structure and Infrastructure Engineering (2023) Vol. 20, Iss. 12, pp. 1853-1882
Open Access | Times Cited: 21

Applying machine learning to 3D seismic image denoising and enhancement
Enning Wang, Jeff Nealon
Interpretation (2019) Vol. 7, Iss. 3, pp. SE131-SE139
Closed Access | Times Cited: 53

Preface to the Focus Section on Machine Learning in Seismology
Karianne J. Bergen, Ting Chen, Zefeng Li
Seismological Research Letters (2019) Vol. 90, Iss. 2A, pp. 477-480
Open Access | Times Cited: 49

Chaotic resonance in a fractional-order oscillator system with application to mechanical fault diagnosis
Yuzhu He, Yuxuan Fu, Zijian Qiao, et al.
Chaos Solitons & Fractals (2020) Vol. 142, pp. 110536-110536
Closed Access | Times Cited: 45

The Denoising of Desert Seismic Data Based on Cycle-GAN With Unpaired Data Training
Yue Li, Hongzhou Wang, Xintong Dong
IEEE Geoscience and Remote Sensing Letters (2020) Vol. 18, Iss. 11, pp. 2016-2020
Open Access | Times Cited: 41

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

Deep Learning Denoising Applied to Regional Distance Seismic Data in Utah
Rigobert Tibi, Patrick Hammond, Ronald Brogan, et al.
Bulletin of the Seismological Society of America (2021) Vol. 111, Iss. 2, pp. 775-790
Open Access | Times Cited: 32

Bayesian-Deep-Learning Estimation of Earthquake Location From Single-Station Observations
S. Mostafa Mousavi, Gregory C. Beroza
IEEE Transactions on Geoscience and Remote Sensing (2020) Vol. 58, Iss. 11, pp. 8211-8224
Open Access | Times Cited: 37

Automatic waveform-based source-location imaging using deep learning extracted microseismic signals
Omar M. Saad, Yangkang Chen
Geophysics (2020) Vol. 85, Iss. 6, pp. KS171-KS183
Closed Access | Times Cited: 37

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