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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:

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

Showing 26-50 of 233 citing articles:

Real-time earthquake magnitude prediction using designed machine learning ensemble trained on real and CTGAN generated synthetic data
Anushka Joshi, Balasubramanian Raman, C. Krishna Mohan
Geodesy and Geodynamics (2025)
Open Access | Times Cited: 1
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
Intra-domain and cross-domain transfer learning for time series data—How transferable are the features?
Erik Otović, Marko Njirjak, Dario Jozinović, et al.
Knowledge-Based Systems (2021) Vol. 239, pp. 107976-107976
Open Access | Times Cited: 42
Early Earthquake Detection Using Batch Normalization Graph Convolutional Neural Network (BNGCNN)
Muhammad Bilal, Yanju Ji, Yongzhi Wang, et al.
Applied Sciences (2022) Vol. 12, Iss. 15, pp. 7548-7548
Open Access | Times Cited: 33
Using LSTM Neural Networks for Onsite Earthquake Early Warning
Chia-Yu Wang, Ting‐Chung Huang, Yih‐Min Wu
Seismological Research Letters (2022) Vol. 93, Iss. 2A, pp. 814-826
Closed Access | Times Cited: 30
Instantaneous tracking of earthquake growth with elastogravity signals
Andrea Licciardi, Quentin Blétery, Bertrand Rouet‐Leduc, et al.
Nature (2022) Vol. 606, Iss. 7913, pp. 319-324
Open Access | Times Cited: 30
Machine Learning for Fast and Reliable Source-Location Estimation in Earthquake Early Warning
Omar M. Saad, Yunfeng Chen, Daniel T. Trugman, et al.
IEEE Geoscience and Remote Sensing Letters (2022) Vol. 19, pp. 1-5
Closed Access | Times Cited: 29
Employing Remote Sensing, Data Communication Networks, AI, and Optimization Methodologies in Seismology
Mohamed S. Abdalzaher, Hussein A. Elsayed, Mostafa M. Fouda
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2022) Vol. 15, pp. 9417-9438
Open Access | Times Cited: 29
Earthquake magnitude prediction using a VMD-BP neural network model
Jiaqi Zhang, Xijun He
Natural Hazards (2023) Vol. 117, Iss. 1, pp. 189-205
Closed Access | Times Cited: 21
DiTingMotion: A deep-learning first-motion-polarity classifier and its application to focal mechanism inversion
Ming Zhao, Zhuowei Xiao, Miao Zhang, et al.
Frontiers in Earth Science (2023) Vol. 11
Open Access | Times Cited: 21
Prediction of PGA in earthquake early warning using a long short-term memory neural network
Ao Wang, Shanyou Li, Jianqi Lu, et al.
Geophysical Journal International (2023) Vol. 234, Iss. 1, pp. 12-24
Closed Access | Times Cited: 17
Seismic Source Characterization From GNSS Data Using Deep Learning
Giuseppe Costantino, Sophie Giffard‐Roisin, David Marsan, et al.
Journal of Geophysical Research Solid Earth (2023) Vol. 128, Iss. 4
Open Access | Times Cited: 16
Earthquake Early Warning Starting From 3 s of Records on a Single Station With Machine Learning
Pablo Lara, Quentin Blétery, Jean‐Paul Ampuero, et al.
Journal of Geophysical Research Solid Earth (2023) Vol. 128, Iss. 11
Open Access | Times Cited: 16
Threshold-based earthquake early warning for high-speed railways using deep learning
Jingbao Zhu, Wentao Sun, Shanyou Li, et al.
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110268-110268
Closed Access | Times Cited: 7
Real-Time Seismic Intensity Prediction Using Self-Supervised Contrastive GNN for Earthquake Early Warning
Rafid Umayer Murshed, Kazi Noshin, Md. Anu Zakaria, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-19
Open Access | Times Cited: 6
Real-time earthquake magnitude estimation via a deep learning network based on waveform and text mixed modal
Baorui Hou, Yueyong Zhou, Shanyou Li, et al.
Earth Planets and Space (2024) Vol. 76, Iss. 1
Open Access | Times Cited: 6
An integrated approach for prediction of magnitude using deep learning techniques
Anushka Joshi, Balasubramanian Raman, C. Krishna Mohan
Neural Computing and Applications (2024) Vol. 36, Iss. 27, pp. 16991-17006
Closed Access | Times Cited: 6
Emerging technologies and supporting tools for earthquake disaster management: A perspective, challenges, and future directions
Mohamed S. Abdalzaher, Moez Krichen, Francisco Falcone
Progress in Disaster Science (2024) Vol. 23, pp. 100347-100347
Open Access | Times Cited: 6
Deep Classified Autoencoder for Lithofacies Identification
Xingye Liu, Guangzhou Shao, Yuwei Liu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-14
Closed Access | Times Cited: 38
Early Warning for Great Earthquakes From Characterization of Crustal Deformation Patterns With Deep Learning
Jiun‐Ting Lin, Diego Melgar, Amanda M. Thomas, et al.
Journal of Geophysical Research Solid Earth (2021) Vol. 126, Iss. 10
Open Access | Times Cited: 37
High-Fidelity Permeability and Porosity Prediction Using Deep Learning With the Self-Attention Mechanism
Liuqing Yang, Shoudong Wang, Xiaohong Chen, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 34, Iss. 7, pp. 3429-3443
Closed Access | Times Cited: 27
Spatiotemporal Graph Convolutional Networks for Earthquake Source Characterization
Xitong Zhang, Will Reichard‐Flynn, Miao Zhang, et al.
Journal of Geophysical Research Solid Earth (2022) Vol. 127, Iss. 11
Open Access | Times Cited: 26
Deep learning for magnitude prediction in earthquake early warning
Yanwei Wang, Xiaojun Li, Zifa Wang, et al.
Gondwana Research (2022) Vol. 123, pp. 164-173
Open Access | Times Cited: 25
SEDENOSS: SEparating and DENOising Seismic Signals With Dual‐Path Recurrent Neural Network Architecture
Artemii Novoselov, Péter Balázs, Götz Bokelmann
Journal of Geophysical Research Solid Earth (2022) Vol. 127, Iss. 3
Open Access | Times Cited: 23
On-site alert-level earthquake early warning using machine-learning-based prediction equations
Jindong Song, Jingbao Zhu, Yuan Wang, et al.
Geophysical Journal International (2022) Vol. 231, Iss. 2, pp. 786-800
Closed Access | Times Cited: 22

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