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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:

Nonlinear stochastic modelling with Langevin regression
Jared Callaham, Jean-Christophe Loiseau, Georgios Rigas, et al.
Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (2021) Vol. 477, Iss. 2250
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Ensemble-SINDy: Robust sparse model discovery in the low-data, high-noise limit, with active learning and control
Urban Fasel, J. Nathan Kutz, Bingni W. Brunton, et al.
Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (2022) Vol. 478, Iss. 2260
Open Access | Times Cited: 173
Deeptime: a Python library for machine learning dynamical models from time series data
Moritz Hoffmann, Martin K. Scherer, Tim Hempel, et al.
Machine Learning Science and Technology (2021) Vol. 3, Iss. 1, pp. 015009-015009
Open Access | Times Cited: 82
Physics-constrained, low-dimensional models for magnetohydrodynamics: First-principles and data-driven approaches
Alan A. Kaptanoglu, Kyle Morgan, C. Hansen, et al.
Physical review. E (2021) Vol. 104, Iss. 1
Open Access | Times Cited: 73
An empirical mean-field model of symmetry-breaking in a turbulent wake
Jared Callaham, Georgios Rigas, Jean-Christophe Loiseau, et al.
Science Advances (2022) Vol. 8, Iss. 19
Open Access | Times Cited: 32
Learning mean-field equations from particle data using WSINDy
Daniel A. Messenger, David M. Bortz
Physica D Nonlinear Phenomena (2022) Vol. 439, pp. 133406-133406
Open Access | Times Cited: 31
Average beta burst duration profiles provide a signature of dynamical changes between the ON and OFF medication states in Parkinson’s disease
Benoit Duchet, Filippo Ghezzi, Gihan Weerasinghe, et al.
PLoS Computational Biology (2021) Vol. 17, Iss. 7, pp. e1009116-e1009116
Open Access | Times Cited: 35
A Toolkit for Data-Driven Discovery of Governing Equations in High-Noise Regimes
Charles B. Delahunt, J. Nathan Kutz
IEEE Access (2022) Vol. 10, pp. 31210-31234
Open Access | Times Cited: 24
A robust sparse identification of nonlinear dynamics approach by combining neural networks and an integral form
Ali Forootani, Pawan Goyal, Peter Benner
Engineering Applications of Artificial Intelligence (2025) Vol. 149, pp. 110360-110360
Open Access
Nonlinear parametric models of viscoelastic fluid flows
Cassio M. Oishi, Alan A. Kaptanoglu, J. Nathan Kutz, et al.
Royal Society Open Science (2024) Vol. 11, Iss. 10
Open Access | Times Cited: 3
Towards robust data-driven reduced-order modelling for turbulent flows: application to vortex-induced vibrations
Yannick Schubert, Moritz Sieber, Kilian Oberleithner, et al.
Theoretical and Computational Fluid Dynamics (2022) Vol. 36, Iss. 3, pp. 517-543
Open Access | Times Cited: 10
A sparse optimal closure for a reduced-order model of wall-bounded turbulence
Zhao Chua Khoo, Chi Hin Chan, Yongyun Hwang
Journal of Fluid Mechanics (2022) Vol. 939
Closed Access | Times Cited: 9
Deep learning of conjugate mappings
Jason J. Bramburger, Steven L. Brunton, J. Nathan Kutz
Physica D Nonlinear Phenomena (2021) Vol. 427, pp. 133008-133008
Open Access | Times Cited: 12
A novel approach for dimensionality reduction of high-dimensional stochastic dynamical systems using symbolic regression
Xiyuan Chen, Qiubao Wang, Zhong Liu, et al.
Mechanical Systems and Signal Processing (2024) Vol. 214, pp. 111373-111373
Closed Access | Times Cited: 1
Stochastic response of subsystems of interest in MDOF quasi-integrable Hamiltonian systems based on neural networks
Jiaojiao Sun, Zhiqiang Luo, Bo Yan
Applied Mathematical Modelling (2024) Vol. 137, pp. 115682-115682
Closed Access | Times Cited: 1
An Empirical noise model of centrifugal fans with different volute tongues based on Langevin regression
Qianhao Xiao, Jun Wang, Xiaopei Yang, et al.
Journal of Building Engineering (2023) Vol. 79, pp. 107876-107876
Closed Access | Times Cited: 3
Sparse nonlinear models of chaotic electroconvection
Yifei Guan, Steven L. Brunton, Igor Novosselov
Royal Society Open Science (2021) Vol. 8, Iss. 8, pp. 202367-202367
Open Access | Times Cited: 8
Maximally predictive ensemble dynamics from data
Antonio Carlos Costa, Tosif Ahamed, David Jordan, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 8
Identification of Nonlinear Systems Using the Infinitesimal Generator of the Koopman Semigroup—A Numerical Implementation of the Mauroy–Goncalves Method
Zlatko Drmač, Igor Mezić, Ryan Mohr
Mathematics (2021) Vol. 9, Iss. 17, pp. 2075-2075
Open Access | Times Cited: 6
Fluctuating landscapes and heavy tails in animal behavior
Antonio Carlos Costa, Massimo Vergassola
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
A real-time digital twin of azimuthal thermoacoustic instabilities
Andrea Nóvoa, Nicolas Noiray, James R. Dawson, et al.
Journal of Fluid Mechanics (2024) Vol. 1001
Open Access
Near Wake Coherent Structures of a Turbulent Axisymmetric Bluff Body Wake
Taihang Zhu, Georgios Rigas, J. F. Morrison
(2024)
Closed Access
Stochastic Memristor Modeling Framework Based on Physics-Informed Neural Networks
K. Kim, Jonghwan Lee
Applied Sciences (2024) Vol. 14, Iss. 20, pp. 9484-9484
Open Access
Entropy structure informed learning for solving inverse problems of differential equations
Yan Jiang, Wuyue Yang, Yi Zhu, et al.
Chaos Solitons & Fractals (2023) Vol. 175, pp. 114057-114057
Closed Access | Times Cited: 1
Data-driven stochastic modeling of coarse-grained dynamics with finite-size effects using Langevin regression
Jordan Snyder, Jared Callaham, Steven L. Brunton, et al.
Physica D Nonlinear Phenomena (2021) Vol. 427, pp. 133004-133004
Open Access | Times Cited: 2
Data-driven stochastic modeling of coarse-grained dynamics with finite-size effects using Langevin regression
Jordan Snyder, Jared Callaham, Steven L. Brunton, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 1
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