
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:
Model Reduction for Nonlinear Systems by Balanced Truncation of State and Gradient Covariance
Samuel E. Otto, Alberto Padovan, Clarence W. Rowley
SIAM Journal on Scientific Computing (2023) Vol. 45, Iss. 5, pp. A2325-A2355
Open Access | Times Cited: 10
Samuel E. Otto, Alberto Padovan, Clarence W. Rowley
SIAM Journal on Scientific Computing (2023) Vol. 45, Iss. 5, pp. A2325-A2355
Open Access | Times Cited: 10
Showing 10 citing articles:
The multiverse of dynamic mode decomposition algorithms
Matthew J. Colbrook
Handbook of numerical analysis (2024), pp. 127-230
Open Access | Times Cited: 7
Matthew J. Colbrook
Handbook of numerical analysis (2024), pp. 127-230
Open Access | Times Cited: 7
Data-driven linearization of dynamical systems
George Haller, Bálint Kaszás
Nonlinear Dynamics (2024) Vol. 112, Iss. 21, pp. 18639-18663
Open Access | Times Cited: 6
George Haller, Bálint Kaszás
Nonlinear Dynamics (2024) Vol. 112, Iss. 21, pp. 18639-18663
Open Access | Times Cited: 6
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: 12
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: 12
Petrov-Galerkin Model Reduction for Thermochemical Nonequilibrium Gas Mixtures: Application to the N2+N System
Ivan Zanardi, Alberto Padovan, Daniel J. Bodony, et al.
AIAA SCITECH 2022 Forum (2025)
Closed Access
Ivan Zanardi, Alberto Padovan, Daniel J. Bodony, et al.
AIAA SCITECH 2022 Forum (2025)
Closed Access
Petrov-Galerkin model reduction for thermochemical nonequilibrium gas mixtures
Ivan Zanardi, Alberto Padovan, Daniel J. Bodony, et al.
Journal of Computational Physics (2025), pp. 113999-113999
Open Access
Ivan Zanardi, Alberto Padovan, Daniel J. Bodony, et al.
Journal of Computational Physics (2025), pp. 113999-113999
Open Access
Data-driven nonlinear model reduction to spectral submanifolds via oblique projection
Leonardo Bettini, Bálint Kaszás, Bernhard Zybach, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2025) Vol. 35, Iss. 4
Open Access
Leonardo Bettini, Bálint Kaszás, Bernhard Zybach, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2025) Vol. 35, Iss. 4
Open Access
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: 3
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: 3
Design of reduced-order controllers for fluid flows using full-order controllers and Gaussian process regression
Yasuo Sasaki, Daisuke Tsubakino
IFAC Journal of Systems and Control (2024) Vol. 28, pp. 100261-100261
Open Access | Times Cited: 1
Yasuo Sasaki, Daisuke Tsubakino
IFAC Journal of Systems and Control (2024) Vol. 28, pp. 100261-100261
Open Access | Times Cited: 1
Interpolatory input and output projections for flow control
Benjamín Herrmann, Peter J. Baddoo, Scott T. M. Dawson, et al.
Journal of Fluid Mechanics (2023) Vol. 971
Open Access | Times Cited: 2
Benjamín Herrmann, Peter J. Baddoo, Scott T. M. Dawson, et al.
Journal of Fluid Mechanics (2023) Vol. 971
Open Access | Times Cited: 2
Machine Learning in Viscoelastic Fluids Via Energy-Based Kernel Embedding
Samuel E. Otto, Cassio M. Oishi, Fabio Amaral, et al.
(2024)
Open Access
Samuel E. Otto, Cassio M. Oishi, Fabio Amaral, et al.
(2024)
Open Access
Machine Learning in Viscoelastic Fluids via Energy-Based Kernel Embedding
Samuel E. Otto, Cassio M. Oishi, Fabio Amaral, et al.
Journal of Computational Physics (2024) Vol. 516, pp. 113371-113371
Open Access
Samuel E. Otto, Cassio M. Oishi, Fabio Amaral, et al.
Journal of Computational Physics (2024) Vol. 516, pp. 113371-113371
Open Access