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:
Generalized neural closure models with interpretability
Abhinav Gupta, Pierre F. J. Lermusiaux
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 8
Abhinav Gupta, Pierre F. J. Lermusiaux
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 8
Showing 8 citing articles:
Data-driven models in fusion exhaust: AI methods and perspectives
S. Wiesen, Stefan Dasbach, A. Kit, et al.
Nuclear Fusion (2024) Vol. 64, Iss. 8, pp. 086046-086046
Open Access | Times Cited: 5
S. Wiesen, Stefan Dasbach, A. Kit, et al.
Nuclear Fusion (2024) Vol. 64, Iss. 8, pp. 086046-086046
Open Access | Times Cited: 5
Learn from one and predict all: single trajectory learning for time delay systems
Xunbi A. Ji, Gábor Orosz
Nonlinear Dynamics (2024) Vol. 112, Iss. 5, pp. 3505-3518
Open Access | Times Cited: 4
Xunbi A. Ji, Gábor Orosz
Nonlinear Dynamics (2024) Vol. 112, Iss. 5, pp. 3505-3518
Open Access | Times Cited: 4
Data-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural Operator
Xinghao Dong, Chuanqi Chen, Jinlong Wu
Journal of Computational Physics (2025), pp. 114005-114005
Closed Access
Xinghao Dong, Chuanqi Chen, Jinlong Wu
Journal of Computational Physics (2025), pp. 114005-114005
Closed Access
Surface drifter trajectory prediction in the Gulf of Mexico using neural networks
Matthew D. Grossi, Stefanie Jegelka, Pierre F. J. Lermusiaux, et al.
Ocean Modelling (2025), pp. 102543-102543
Closed Access
Matthew D. Grossi, Stefanie Jegelka, Pierre F. J. Lermusiaux, et al.
Ocean Modelling (2025), pp. 102543-102543
Closed Access
Bayesian learning of coupled biogeochemical–physical models
Abhinav Gupta, Pierre F. J. Lermusiaux
Progress In Oceanography (2023) Vol. 216, pp. 103050-103050
Open Access | Times Cited: 4
Abhinav Gupta, Pierre F. J. Lermusiaux
Progress In Oceanography (2023) Vol. 216, pp. 103050-103050
Open Access | Times Cited: 4
MSEAS-ParEq for Coupled Ocean-Acoustic Modeling Around the Globe
Wael H. Ali, Aaron Charous, Chris Mirabito, et al.
(2023), pp. 1-10
Closed Access | Times Cited: 2
Wael H. Ali, Aaron Charous, Chris Mirabito, et al.
(2023), pp. 1-10
Closed Access | Times Cited: 2
Evaluation of Deep Neural Operator Models Toward Ocean Forecasting
Ellery Rajagopal, Anantha Babu, Tony Ryu, et al.
(2023), pp. 1-9
Open Access | Times Cited: 1
Ellery Rajagopal, Anantha Babu, Tony Ryu, et al.
(2023), pp. 1-9
Open Access | Times Cited: 1
Genetic Programming for the Reconstruction of Delay Differential Equations in Economics
Teresa Tonelli, Gloria Pietropolli, Gabriele Sbaiz, et al.
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2024), pp. 2119-2122
Closed Access
Teresa Tonelli, Gloria Pietropolli, Gabriele Sbaiz, et al.
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2024), pp. 2119-2122
Closed Access
