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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:

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: 177

Showing 1-25 of 177 citing articles:

Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review
Sibo Cheng, César Quilodrán-Casas, Said Ouala, et al.
IEEE/CAA Journal of Automatica Sinica (2023) Vol. 10, Iss. 6, pp. 1361-1387
Open Access | Times Cited: 125
PySINDy: A comprehensive Python package for robust sparse system identification
Alan A. Kaptanoglu, Brian M. de Silva, Urban Fasel, et al.
The Journal of Open Source Software (2022) Vol. 7, Iss. 69, pp. 3994-3994
Open Access | Times Cited: 114
Promising directions of machine learning for partial differential equations
Steven L. Brunton, J. Nathan Kutz
Nature Computational Science (2024) Vol. 4, Iss. 7, pp. 483-494
Closed Access | Times Cited: 20
KAN-ODEs: Kolmogorov–Arnold network ordinary differential equations for learning dynamical systems and hidden physics
Benjamin C. Koenig, Suyong Kim, Sili Deng
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 432, pp. 117397-117397
Closed Access | Times Cited: 16
Symbolic genetic algorithm for discovering open-form partial differential equations (SGA-PDE)
Yuntian Chen, Yingtao Luo, Qiang Liu, et al.
Physical Review Research (2022) Vol. 4, Iss. 2
Open Access | Times Cited: 53
Discovery of nonlinear dynamical systems using a Runge–Kutta inspired dictionary-based sparse regression approach
Pawan Goyal, Peter Benner
Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (2022) Vol. 478, Iss. 2262
Open Access | Times Cited: 46
Learning sparse nonlinear dynamics via mixed-integer optimization
Dimitris Bertsimas, Wes Gurnee
Nonlinear Dynamics (2023) Vol. 111, Iss. 7, pp. 6585-6604
Open Access | Times Cited: 30
State estimation of a physical system with unknown governing equations
Kevin Course, Prasanth B. Nair
Nature (2023) Vol. 622, Iss. 7982, pp. 261-267
Open Access | Times Cited: 25
DISCOVER: Deep identification of symbolically concise open-form partial differential equations via enhanced reinforcement learning
Mengge Du, Yuntian Chen, Dongxiao Zhang
Physical Review Research (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 12
Automatically discovering ordinary differential equations from data with sparse regression
Kevin J. Egan, Weizhen Li, Rui Carvalho
Communications Physics (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 11
Scientific machine learning for closure models in multiscale problems: a review
Benjamin Sanderse, Panos Stinis, Romit Maulik, et al.
Foundations of Data Science (2024) Vol. 7, Iss. 1, pp. 298-337
Open Access | Times Cited: 10
From biological data to oscillator models using SINDy
Bartosz Prokop, Lendert Gelens
iScience (2024) Vol. 27, Iss. 4, pp. 109316-109316
Open Access | Times Cited: 9
Koopman neural operator as a mesh-free solver of non-linear partial differential equations
Wei Xiong, Xiaomeng Huang, Ziyang Zhang, et al.
Journal of Computational Physics (2024) Vol. 513, pp. 113194-113194
Open Access | Times Cited: 9
Data-driven discovery of the governing equations of dynamical systems via moving horizon optimization
Fernando Lejarza, Michael Bâldea
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 33
Benchmarking sparse system identification with low-dimensional chaos
Alan A. Kaptanoglu, Lanyue Zhang, Zachary G. Nicolaou, et al.
Nonlinear Dynamics (2023) Vol. 111, Iss. 14, pp. 13143-13164
Closed Access | Times Cited: 16
Derivative-based SINDy (DSINDy): Addressing the challenge of discovering governing equations from noisy data
Jacqueline Wentz, Alireza Doostan
Computer Methods in Applied Mechanics and Engineering (2023) Vol. 413, pp. 116096-116096
Open Access | Times Cited: 16
A data-driven framework for learning governing equations of Li-ion batteries and co-estimating voltage and state-of-charge
Omidreza Ahmadzadeh, Yan Wang, Damoon Soudbakhsh
Journal of Energy Storage (2024) Vol. 84, pp. 110743-110743
Closed Access | Times Cited: 7
Data-driven modeling and forecasting of chaotic dynamics on inertial manifolds constructed as spectral submanifolds
Aihui Liu, Joar Axås, George Haller
Chaos An Interdisciplinary Journal of Nonlinear Science (2024) Vol. 34, Iss. 3
Open Access | Times Cited: 7
Identification of the form of self-excited aerodynamic force of bridge deck based on machine learning
Shujin Laima, Zeyu Zhang, Xiaowei Jin, et al.
Physics of Fluids (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 6
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
Direct Estimation of Parameters in ODE Models Using WENDy: Weak-Form Estimation of Nonlinear Dynamics
David M. Bortz, Daniel A. Messenger, Vanja Dukić
Bulletin of Mathematical Biology (2023) Vol. 85, Iss. 11
Open Access | Times Cited: 13
Detection of breathing cracks using physics-constrained hybrid network
Shangyu Zhao, Changming Cheng, Miaomiao Lin, et al.
International Journal of Mechanical Sciences (2024) Vol. 281, pp. 109568-109568
Closed Access | Times Cited: 5
Examination of analytical shear stress predictions for coastal dune evolution
Orie M. Cecil, Nicholas Cohn, Matthew W. Farthing, et al.
Earth Surface Dynamics (2025) Vol. 13, Iss. 1, pp. 1-22
Open Access
Influence of initial conditions on data-driven model identification and information entropy for ideal mhd problems
Gina Vasey, Daniel A. Messenger, David M. Bortz, et al.
Journal of Computational Physics (2025) Vol. 524, pp. 113719-113719
Open Access
Exploring explicit formula for shear transfer strength of concrete joints using dictionary learning
Tongxu Liu, Cheng Zhao, Zhen Wang
Construction and Building Materials (2025) Vol. 462, pp. 140000-140000
Closed Access
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