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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:

Reservoir time series analysis: Using the response of complex dynamical systems as a universal indicator of change
Braden Thorne, Thomas Jüngling, Michael Small, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2022) Vol. 32, Iss. 3
Closed Access | Times Cited: 9

Showing 9 citing articles:

Trends in recurrence analysis of dynamical systems
Norbert Marwan, K. Hauke Kraemer
The European Physical Journal Special Topics (2023) Vol. 232, Iss. 1, pp. 5-27
Open Access | Times Cited: 28
Learning from the past: reservoir computing using delayed variables
Ulrich Parlitz
Frontiers in Applied Mathematics and Statistics (2024) Vol. 10
Open Access | Times Cited: 7
Chaotic time series classification by means of reservoir-based convolutional neural networks
Kai Jiang, Zonghua Liu, Michael Small, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2025) Vol. 35, Iss. 4
Closed Access
Attractor reconstruction with reservoir computers: The effect of the reservoir’s conditional Lyapunov exponents on faithful attractor reconstruction
Joseph D. Hart
Chaos An Interdisciplinary Journal of Nonlinear Science (2024) Vol. 34, Iss. 4
Open Access | Times Cited: 4
Reservoir computing approaches to unsupervised concept drift detection in dynamical systems
Braden Thorne, Débora C. Corrêa, Ayham Zaitouny, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2025) Vol. 35, Iss. 2
Open Access
Discovering dynamical features of Hodgkin–Huxley-type model of physiological neuron using artificial neural network
Pavel V. Kuptsov, Nataliya Stankevich, Elmira Bagautdinova
Chaos Solitons & Fractals (2022) Vol. 167, pp. 113027-113027
Open Access | Times Cited: 5
Improving model-free prediction of chaotic dynamics by purifying the incomplete input
Hongfang Tan, Lufa Shi, Sheng-Jun Wang, et al.
AIP Advances (2024) Vol. 14, Iss. 12
Open Access
Network representations of attractors for change point detection
Eugene Tan, Shannon D. Algar, Débora C. Corrêa, et al.
Communications Physics (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 1
Network representations of attractors for change point detection
Eugene Tan, Shannon D. Algar, Débora C. Corrêa, et al.
Research Square (Research Square) (2023)
Open Access
A Novel Approach to Time Series Complexity via Reservoir Computing
Braden Thorne, Thomas Jüngling, Michael Small, et al.
Lecture notes in computer science (2022), pp. 442-455
Closed Access
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