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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:

Parsimony as the ultimate regularizer for physics-informed machine learning
J. Nathan Kutz, Steven L. Brunton
Nonlinear Dynamics (2022) Vol. 107, Iss. 3, pp. 1801-1817
Closed Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Bayesian-EUCLID: Discovering hyperelastic material laws with uncertainties
Akshay Joshi, Prakash Thakolkaran, Yiwen Zheng, et al.
Computer Methods in Applied Mechanics and Engineering (2022) Vol. 398, pp. 115225-115225
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
Evolution TANN and the identification of internal variables and evolution equations in solid mechanics
Filippo Masi, Ioannis Stefanou
Journal of the Mechanics and Physics of Solids (2023) Vol. 174, pp. 105245-105245
Open Access | Times Cited: 29
Data-driven nonlinear model reduction to spectral submanifolds in mechanical systems
Mattia Cenedese, Joar Axås, H. Yang, et al.
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2022) Vol. 380, Iss. 2229
Open Access | Times Cited: 35
Model reduction for nonlinearizable dynamics via delay-embedded spectral submanifolds
Joar Axås, George Haller
Nonlinear Dynamics (2023) Vol. 111, Iss. 24, pp. 22079-22099
Open Access | Times Cited: 19
Learning dynamical systems from data: A simple cross-validation perspective, Part V: Sparse Kernel Flows for 132 chaotic dynamical systems
Lu Yang, Xiuwen Sun, Boumediene Hamzi, et al.
Physica D Nonlinear Phenomena (2024) Vol. 460, pp. 134070-134070
Open Access | Times Cited: 6
Ensemble machine learning for interpretable soil heat flux estimation
James F. Cross, D. Drewry
Ecological Informatics (2024) Vol. 82, pp. 102697-102697
Open Access | Times Cited: 6
Fast data-driven model reduction for nonlinear dynamical systems
Joar Axås, Mattia Cenedese, George Haller
Nonlinear Dynamics (2022) Vol. 111, Iss. 9, pp. 7941-7957
Open Access | Times Cited: 27
Interpreting and generalizing deep learning in physics-based problems with functional linear models
Amirhossein Arzani, Lingxiao Yuan, Pania Newell, et al.
Engineering With Computers (2024)
Closed Access | Times Cited: 4
Machine learning for faster estimates of groundwater response to artificial aquifer recharge
Valdrich J. Fernandes, P. G. B. de Louw, Ruud P. Bartholomeus, et al.
Journal of Hydrology (2024) Vol. 637, pp. 131418-131418
Open Access | Times Cited: 4
Artificial Satellite Search: A New Metaheuristic Algorithm for Optimizing Truss Structure Design and Project Scheduling
Min‐Yuan Cheng, Moh Nur Sholeh
Applied Mathematical Modelling (2025), pp. 116008-116008
Closed Access
Deep Learning Identification of the Governing Equation for Water Flow in Heterogeneous Soils From Data
Wenxiang Song, Liangsheng Shi, Leilei He, et al.
Water Resources Research (2025) Vol. 61, Iss. 3
Open Access
Spectrally informed learning of fluid flows
Benjamin Shaffer, Jeremy R. Vorenberg, M. Ani Hsieh
Chaos An Interdisciplinary Journal of Nonlinear Science (2025) Vol. 35, Iss. 3
Closed Access
Bayesian autoencoders for data-driven discovery of coordinates, governing equations and fundamental constants
Liyao Gao, J. Nathan Kutz
Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (2024) Vol. 480, Iss. 2286
Open Access | Times Cited: 3
Solving partial differential equations using large-data models: a literature review
Abdul Mueed Hafiz, Irfan Faiq, M. Hassaballah
Artificial Intelligence Review (2024) Vol. 57, Iss. 6
Open Access | Times Cited: 3
Towards data-driven discovery of governing equations in geosciences
Wenxiang Song, Shijie Jiang, Gustau Camps‐Valls, et al.
Communications Earth & Environment (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 3
Sparse Bayesian machine learning for the interpretable identification of nonlinear structural dynamics: Towards the experimental data-driven discovery of a quasi zero stiffness device
Tanmoy Chatterjee, Alexander D. Shaw, Michael I. Friswell, et al.
Mechanical Systems and Signal Processing (2023) Vol. 205, pp. 110858-110858
Open Access | Times Cited: 8
Data‐Driven Discovery of Soil Moisture Flow Governing Equation: A Sparse Regression Framework
Wenxiang Song, Liangsheng Shi, Lijun Wang, et al.
Water Resources Research (2022) Vol. 58, Iss. 8
Closed Access | Times Cited: 12
Data-driven inference of complex system dynamics: A mini-review
Ting-Ting Gao, Gang Yan
EPL (Europhysics Letters) (2023) Vol. 142, Iss. 1, pp. 11001-11001
Open Access | Times Cited: 7
Simplicity bias, algorithmic probability, and the random logistic map
Boumediene Hamzi, Kamaludin Dingle
Physica D Nonlinear Phenomena (2024) Vol. 463, pp. 134160-134160
Open Access | Times Cited: 2
Atmospheric Chemistry Surrogate Modeling With Sparse Identification of Nonlinear Dynamics
Xiaokai Yang, Lin Guo, Zhonghua Zheng, et al.
Journal of Geophysical Research Machine Learning and Computation (2024) Vol. 1, Iss. 2
Open Access | Times Cited: 2
Frequency response based identification of nonlinear oscillators
Thomas Breunung, Balakumar Balachandran
Journal of Sound and Vibration (2024) Vol. 594, pp. 118651-118651
Closed Access | Times Cited: 2
A Theory-Based Explainable Deep Learning Architecture for Music Emotion
Hortense Fong, Vineet Kumar, K. Sudhir
Marketing Science (2024)
Closed Access | Times Cited: 2
Reconstructing the Unsaturated Flow Equation From Sparse and Noisy Data: Leveraging the Synergy of Group Sparsity and Physics‐Informed Deep Learning
Wenxiang Song, Liangsheng Shi, Xiaolong Hu, et al.
Water Resources Research (2023) Vol. 59, Iss. 5
Closed Access | Times Cited: 6
A Theory-Based Interpretable Deep Learning Architecture for Music Emotion
Hortense Fong, Vineet Kumar, K. Sudhir
SSRN Electronic Journal (2021)
Closed Access | Times Cited: 12
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