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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:

Using a physics-informed neural network and fault zone acoustic monitoring to predict lab earthquakes
Prabhav Borate, Jacques Rivière, Chris Marone, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Recent advances in earthquake seismology using machine learning
Hisahiko Kubo, Makoto Naoi, Masayuki Kano
Earth Planets and Space (2024) Vol. 76, Iss. 1
Open Access | Times Cited: 20
Differentiable finite element method with Galerkin discretization for fast and accurate inverse analysis of multidimensional heterogeneous engineering structures
Xi Wang, Zhen‐Yu Yin, Wei Wu, et al.
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 437, pp. 117755-117755
Open Access | Times Cited: 4
Crustal permeability generated through microearthquakes is constrained by seismic moment
Pengliang Yu, Ankur Mali, Thejasvi Velaga, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 7
Explainable machine learning for labquake prediction using catalog-driven features
Sadegh Karimpouli, Danu Caus, Harsh Grover, et al.
Earth and Planetary Science Letters (2023) Vol. 622, pp. 118383-118383
Open Access | Times Cited: 16
Unsupervised clustering of catalogue-driven features for characterizing temporal evolution of labquake stress
Sadegh Karimpouli, Grzegorz Kwiatek, Patricia Martínez‐Garzón, et al.
Geophysical Journal International (2024) Vol. 237, Iss. 2, pp. 755-771
Open Access | Times Cited: 7
Transfer Learning for Prognostics and Health Management: Advances, Challenges, and Opportunities
Ruqiang Yan, Weihua Li, Siliang Lu, et al.
Journal of Dynamics Monitoring and Diagnostics (2024)
Open Access | Times Cited: 5
Automatic speech recognition predicts contemporaneous earthquake fault displacement
Christopher Johnson, Kun Wang, Paul A. Johnson
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Integrating Order-of-Magnitude Analysis to Physics-Informed Neural Networks for Linear Chromatographic Models
Yucheng Chen, Shan‐Jing Yao, Dong‐Qiang Lin
Industrial & Engineering Chemistry Research (2025)
Closed Access
A physics-informed clustering approach for ultrasonics-based nondestructive evaluation
Michail Skiadopoulos, Evan P. Bozek, Lalith Sai Srinivas Pillarisetti, et al.
NDT & E International (2025), pp. 103362-103362
Closed Access
Parameter estimation of high-altitude electromagnetic pulse based on physics and data co-supervised neural network
Donghai Xiao, Chao Yang, Jiamin Yang, et al.
Optics Express (2025) Vol. 33, Iss. 5, pp. 11800-11800
Open Access
Relationships between fault friction, slip time, and physical parameters explored by experiment-based friction model: A Machine Learning Approach Using Recurrent Neural Networks (RNNs)
Tae-hoon UHMB, Yohei Hamada, Takehiro Hirose
Applied Computing and Geosciences (2025), pp. 100231-100231
Open Access
Property-embedded parameterized physics-informed neural network for modeling supercritical pressure fluid convective heat transfer
Qingyan Weng, Yuli Cao, Peixue Jiang, et al.
(2025), pp. 100003-100003
Open Access
Time series analysis in compressor-based machines: a survey
Francesca Forbicini, Nicolò Oreste Pinciroli Vago, Piero Fraternali
Neural Computing and Applications (2025)
Open Access
Generalizable deep learning models for predicting laboratory earthquakes
Chonglang Wang, Kaiwen Xia, Wei Yao, et al.
Communications Earth & Environment (2025) Vol. 6, Iss. 1
Open Access
Scalable intermediate-term earthquake forecasting with multimodal fusion neural networks
Yumeng Hu, Qi Zhang, Hengshu Zhu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A physics-informed generative adversarial network for advancing solutions in ocean acoustics
Rui Xia, Xiaowei Guo, Huimin Zhang, et al.
Physics of Fluids (2025) Vol. 37, Iss. 3
Closed Access
Laboratory Shear Behavior of Tensile- and Shear-Induced Fractures in Sandstone: Insights from Acoustic Emission
Shuting Miao, Peng–Zhi Pan, Arno Zang, et al.
Rock Mechanics and Rock Engineering (2024) Vol. 57, Iss. 8, pp. 5397-5413
Closed Access | Times Cited: 2
Physics-Informed Neural Networks for Solving High-Index Differential-Algebraic Equation Systems Based on Radau Methods
Chen Jia-Sheng, Juan Tang, Ming Yan, et al.
International Journal of Intelligent Systems (2024) Vol. 2024, pp. 1-12
Open Access | Times Cited: 1
Machine Learning Predicts Earthquakes in the Continuum Model of a Rate‐And‐State Fault With Frictional Heterogeneities
Reiju Norisugi, Yoshihiro Kaneko, Bertrand Rouet‐Leduc
Geophysical Research Letters (2024) Vol. 51, Iss. 9
Open Access | Times Cited: 1
An embedded physical information network for blade crack detection considering dynamic multi-level credibility
Junxian Shen, Tianchi Ma, Di Song, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 111948-111948
Closed Access | Times Cited: 1
Physics informed neural network can retrieve rate and state friction parameters from acoustic monitoring of laboratory stick-slip experiments
Prabhav Borate, Jacques Rivière, Samson Marty, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
A dynamic informed deep learning method for future estimation of laboratory stick-slip
Enjiang Yue, Mengjiao Qin, Linshu Hu, et al.
(2024)
Open Access
On the Anatomy of Acoustic Emission
R. A. Guyer, Samson Marty, Chris Marone, et al.
Authorea (Authorea) (2024)
Open Access
Comment on gmd-2024-46
Enjiang Yue, Mengjiao Qin, Linshu Hu, et al.
(2024)
Open Access
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