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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:

Reduced order modeling of parametrized systems through autoencoders and SINDy approach: continuation of periodic solutions
Paolo Conti, Giorgio Gobat, Stefania Fresca, et al.
Computer Methods in Applied Mechanics and Engineering (2023) Vol. 411, pp. 116072-116072
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Discovering governing equations from partial measurements with deep delay autoencoders
Joseph Bakarji, Kathleen M. Champion, J. Nathan Kutz, et al.
Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (2023) Vol. 479, Iss. 2276
Open Access | Times Cited: 53
Deep learning in computational mechanics: a review
Leon Herrmann, Stefan Kollmannsberger
Computational Mechanics (2024) Vol. 74, Iss. 2, pp. 281-331
Open Access | Times Cited: 26
Reduced Order Modeling conditioned on monitored features for response and error bounds estimation in engineered systems
Konstantinos Vlachas, Thomas J. Simpson, Anthony Garland, et al.
Mechanical Systems and Signal Processing (2025) Vol. 226, pp. 112261-112261
Open Access | Times Cited: 1
Automating the practice of science: Opportunities, challenges, and implications
Sebastian Musslick, Laura Bartlett, Suyog Chandramouli, et al.
Proceedings of the National Academy of Sciences (2025) Vol. 122, Iss. 5
Open Access | Times Cited: 1
Multi-fidelity reduced-order surrogate modelling
Paolo Conti, Mengwu Guo, Andrea Manzoni, et al.
Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (2024) Vol. 480, Iss. 2283
Open Access | Times Cited: 9
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
Nonlinear model order reduction of engineering turbulence using data-assisted neural networks
Chuanhua Zhu, Jinlong Fu, Dunhui Xiao, et al.
Computer Physics Communications (2025), pp. 109501-109501
Open Access
Path-following strategy with consistent Jacobian for periodic solutions in multi-DOF nonlinear dynamic systems
Domenico Magisano, Giovanni Formica
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 439, pp. 117896-117896
Open Access
Non-intrusive data-driven reduced-order modeling for time-dependent parametrized problems
Junming Duan, Jan S. Hesthaven
Journal of Computational Physics (2023) Vol. 497, pp. 112621-112621
Open Access | Times Cited: 15
On latent dynamics learning in nonlinear reduced order modeling
N. Farenga, Stefania Fresca, Simone Brivio, et al.
Neural Networks (2025) Vol. 185, pp. 107146-107146
Open Access
A parametric non-linear non-intrusive reduce-order model using deep transfer learning
Rui Fu, Dunhui Xiao, A.G. Buchan, et al.
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 438, pp. 117807-117807
Closed Access
Online learning in bifurcating dynamic systems via SINDy and Kalman filtering
Luca Rosafalco, Paolo Conti, Andrea Manzoni, et al.
Nonlinear Dynamics (2025)
Open Access
Learning nonlinear projections for reduced-order modeling of dynamical systems using constrained autoencoders
Samuel E. Otto, Gregory R. Macchio, Clarence W. Rowley
Chaos An Interdisciplinary Journal of Nonlinear Science (2023) Vol. 33, Iss. 11
Open Access | Times Cited: 11
Sparse regression for plasma physics
Alan A. Kaptanoglu, C. Hansen, J. Lore, et al.
Physics of Plasmas (2023) Vol. 30, Iss. 3
Closed Access | Times Cited: 10
Low-dimensional data-based surrogate model of a continuum-mechanical musculoskeletal system based on non-intrusive model order reduction
Jonas Kneifl, David Rosin, O. Avci, et al.
Archive of Applied Mechanics (2023) Vol. 93, Iss. 9, pp. 3637-3663
Open Access | Times Cited: 10
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
Dynamic stall modeling of wind turbine blade sections based on a data-knowledge fusion method
Zijie Shi, Chuanqiang Gao, Zihao Dou, et al.
Energy (2024) Vol. 305, pp. 132234-132234
Closed Access | Times Cited: 2
Neural networks based surrogate modeling for efficient uncertainty quantification and calibration of MEMS accelerometers
Filippo Zacchei, Francesco Rizzini, Gabriele Gattere, et al.
International Journal of Non-Linear Mechanics (2024), pp. 104902-104902
Open Access | Times Cited: 2
Data-Driven Model Reduction via Non-intrusive Optimization of Projection Operators and Reduced-Order Dynamics
Alberto Padovan, Blaine Vollmer, Daniel J. Bodony
SIAM Journal on Applied Dynamical Systems (2024) Vol. 23, Iss. 4, pp. 3052-3076
Open Access | Times Cited: 2
Discover governing differential equations from evolving systems
Yuanyuan Li, Kai Wu, Jing Liu
Physical Review Research (2023) Vol. 5, Iss. 2
Open Access | Times Cited: 4
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
Development of data-driven modeling method for nonlinear coupling components
Taesan Ryu, Seunghun Baek
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
tLaSDI: Thermodynamics-informed latent space dynamics identification
Jun Sur Richard Park, Siu Wun Cheung, Youngsoo Choi, et al.
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 429, pp. 117144-117144
Open Access | Times Cited: 1
EKF–SINDy: Empowering the extended Kalman filter with sparse identification of nonlinear dynamics
Luca Rosafalco, Paolo Conti, Andrea Manzoni, et al.
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 431, pp. 117264-117264
Open Access | Times Cited: 1
Data-driven reduced order modeling for mechanical oscillators using Koopman approaches
Charlotte Geier, M. Stender, Norbert Hoffmann
Frontiers in Applied Mathematics and Statistics (2023) Vol. 9
Open Access | Times Cited: 4
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