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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: 236

Showing 51-75 of 236 citing articles:

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
Pre-earthquake anomaly extraction from borehole strain data based on machine learning
Chengquan Chi, Chenyang Li, Ying Han, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 15
Earthquake Detection Using Stacked Normalized Recurrent Neural Network (SNRNN)
Muhammad Bilal, Yongzhi Wang, Yanju Ji, et al.
Applied Sciences (2023) Vol. 13, Iss. 14, pp. 8121-8121
Open Access | Times Cited: 13
CREDIT-X1local: A reference dataset for machine learning seismology from ChinArray in Southwest China
Lu Li, Weitao Wang, Ziye Yu, et al.
Earthquake Science (2024) Vol. 37, Iss. 2, pp. 139-157
Open Access | Times Cited: 5
HEM NAEMP: a novel hybrid ensemble model for North Anatolian Fault zone earthquake magnitude prediction
Elif Özceylan, Pınar Karadayı Ataş
Natural Hazards (2025)
Open Access
A state-of-the-art review of bridges subjected to earthquake fault ruptures
Yuanzheng Lin, Y. Frank Chen, Zhouhong Zong, et al.
Engineering Structures (2025) Vol. 330, pp. 119889-119889
Closed Access
Comparative Analysis of Deep Learning Methods for Real-Time Estimation of Earthquake Magnitude
Xuanye Shen, Baorui Hou, Jianqi Lu, et al.
Applied Sciences (2025) Vol. 15, Iss. 5, pp. 2587-2587
Open Access
Local Magnitude Estimation via an Attention-Based Machine Learning Model
Ji Zhang, Aitaro Kato, Huiyu Zhu, et al.
Seismological Research Letters (2025)
Closed Access
SeisAug: A Data Augmentation Python Toolkit
D. Pragnath, G. Srijayanthi, Santosh Kumar, et al.
Applied Computing and Geosciences (2025), pp. 100232-100232
Open Access
Recent Advances in Early Earthquake Magnitude Estimation by Using Machine Learning Algorithms: A Systematic Review
Andrés Navarro-Rodríguez, Oscar Castro Artola, Enrique Efrén García-Guerrero, et al.
Applied Sciences (2025) Vol. 15, Iss. 7, pp. 3492-3492
Open Access
Deep Learning for Early Earthquake Detection: Application of Convolutional Neural Networks for P-Wave Detection
Dauren Zhexebay, Alisher Skabylov, Margulan Ibraimov, et al.
Applied Sciences (2025) Vol. 15, Iss. 7, pp. 3864-3864
Open Access
Transforming Higher Education
Amvrosios Prodromou, Marilia Kountouridou
IGI Global eBooks (2025), pp. 359-382
Closed Access
Onsite intensity prediction for earthquake early warning with multimodal deep learning
Jingbao Zhu, Shanyou Li, Qiang Ma, et al.
Soil Dynamics and Earthquake Engineering (2025) Vol. 195, pp. 109430-109430
Closed Access
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: 38
Deep Clustering to Identify Sources of Urban Seismic Noise in Long Beach, California
Dylan Snover, Christopher Johnson, Michael J. Bianco, et al.
Seismological Research Letters (2020) Vol. 92, Iss. 2A, pp. 1011-1022
Closed Access | Times Cited: 32
DeepPhasePick: A method for detecting and picking seismic phases from local earthquakes based on highly optimized convolutional and recurrent deep neural networks
Hugo Soto, Bernd Schurr
Geophysical Journal International (2021)
Open Access | Times Cited: 28
CREIME—A C onvolutional R ecurrent Model for E arthquake I dentification and M agnitude E stimation
Megha Chakraborty, Darius Fenner, Wei Li, et al.
Journal of Geophysical Research Solid Earth (2022) Vol. 127, Iss. 7
Open Access | Times Cited: 21
Seismic response prediction of RC bridge piers through stacked long short-term memory network
Omid Yazdanpanah, Minwoo Chang, Min‐Seok Park, et al.
Structures (2022) Vol. 45, pp. 1990-2006
Closed Access | Times Cited: 21
Machine learning bridges microslips and slip avalanches of sheared granular gouges
Gang Ma, Jiangzhou Mei, Ke Gao, et al.
Earth and Planetary Science Letters (2022) Vol. 579, pp. 117366-117366
Open Access | Times Cited: 20
EdgePhase: A Deep Learning Model for Multi‐Station Seismic Phase Picking
Tian Feng, Saeed Mohanna, Lingsen Meng
Geochemistry Geophysics Geosystems (2022) Vol. 23, Iss. 11
Closed Access | Times Cited: 20
Neural Network Emulation of the Formation of Organic Aerosols Based on the Explicit GECKO‐A Chemistry Model
John S. Schreck, Charles Becker, David John Gagne, et al.
Journal of Advances in Modeling Earth Systems (2022) Vol. 14, Iss. 10
Open Access | Times Cited: 19
P-Detector: Real-Time P-Wave Detection in a Seismic Waveform Recorded on a Low-Cost MEMS Accelerometer Using Deep Learning
Irshad Khan, Youngwoo Kwon
IEEE Geoscience and Remote Sensing Letters (2022) Vol. 19, pp. 1-5
Closed Access | Times Cited: 19
Cumulative absolute velocity prediction for earthquake early warning with deep learning
Yanwei Wang, Qingxu Zhao, Kai Qian, et al.
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 39, Iss. 11, pp. 1724-1740
Closed Access | Times Cited: 11
Earthquake magnitude prediction in Turkey: a comparative study of deep learning methods, ARIMA and singular spectrum analysis
Hatice Öncel Çekim, Hatice Nur Karakavak, Gamze Özel, et al.
Environmental Earth Sciences (2023) Vol. 82, Iss. 16
Closed Access | Times Cited: 11

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