Open Access Helper

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:

Bounded nonlinear forecasts of partially observed geophysical systems with physics-constrained deep learning
Said Ouala, Steven L. Brunton, Bertrand Chapron, et al.
Physica D Nonlinear Phenomena (2023) Vol. 446, pp. 133630-133630
Open Access | Times Cited: 9

Showing 9 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
Deep learning delay coordinate dynamics for chaotic attractors from partial observable data
Charles D. Young, Michael D. Graham
Physical review. E (2023) Vol. 107, Iss. 3
Open Access | Times Cited: 9
Dynamical system prediction from sparse observations using deep neural networks with Voronoi tessellation and physics constraint
Hanyang Wang, Hao Zhou, Sibo Cheng
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 432, pp. 117339-117339
Open Access | Times Cited: 2
Challenges in identifying simple pattern-forming mechanisms in the development of settlements using demographic data
Bartosz Prokop, Lendert Gelens, Peter F. Pelz, et al.
Physical review. E (2023) Vol. 107, Iss. 6
Open Access | Times Cited: 3
Stochastic Transport in Upper Ocean Dynamics II
Bertrand Chapron, Dan Crisan, Darryl D. Holm, et al.
Mathematics of planet earth (2023)
Open Access | Times Cited: 3
Prediction of turbulent energy based on low-rank resolvent modes and machine learning
Yitong Fan, Bo Chen, Weipeng Li
Journal of Physics Conference Series (2024) Vol. 2753, Iss. 1, pp. 012021-012021
Open Access
Autoregressive With Slack Time Series Model for Forecasting a Partially-Observed Dynamical Time Series
Akifumi Okuno, Yuya Morishita, Yoh-ichi Mototake
IEEE Access (2024) Vol. 12, pp. 24621-24630
Open Access
Extending the extended dynamic mode decomposition with latent observables: the latent EDMD framework
Said Ouala, Bertrand Chapron, Fabrice Collard, et al.
Machine Learning Science and Technology (2023) Vol. 4, Iss. 2, pp. 025018-025018
Open Access | Times Cited: 1
Analysis of Sea Surface Temperature Variability Using Machine Learning
Said Ouala, Bertrand Chapron, Fabrice Collard, et al.
Mathematics of planet earth (2023), pp. 247-260
Open Access
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