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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:

A systematic exploration of reservoir computing for forecasting complex spatiotemporal dynamics
Jason A. Platt, Stephen G. Penny, Timothy A. Smith, et al.
Neural Networks (2022) Vol. 153, pp. 530-552
Open Access | Times Cited: 22

Showing 22 citing articles:

SMT 2.0: A Surrogate Modeling Toolbox with a focus on hierarchical and mixed variables Gaussian processes
Paul Saves, Rémi Lafage, Nathalie Bartoli, et al.
Advances in Engineering Software (2023) Vol. 188, pp. 103571-103571
Open Access | Times Cited: 45
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
Learning spatiotemporal chaos using next-generation reservoir computing
Wendson A. S. Barbosa, Daniel J. Gauthier
Chaos An Interdisciplinary Journal of Nonlinear Science (2022) Vol. 32, Iss. 9
Open Access | Times Cited: 26
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
Photonic Deep Residual Time-Delay Reservoir Computing
Changdi Zhou, Yu Huang, Yigong Yang, et al.
Neural Networks (2024) Vol. 179, pp. 106575-106575
Closed Access | Times Cited: 4
Reconstructing the dynamics of coupled oscillators with cluster synchronization using parameter-aware reservoir computing
Xinwei Zhang, Shuai Wang
The European Physical Journal Plus (2025) Vol. 140, Iss. 2
Closed Access
Intermittency in predicting the behavior of stochastic systems using reservoir computing
Nikita Kulagin, Andrey Andreev, А. А. Короновский, et al.
Physical review. E (2025) Vol. 111, Iss. 2
Closed Access
Road surface condition monitoring with an optical fibre reservoir structure based on acceleration data from vehicles
Xiang Wang, Fan Ye, Zhaojie Sun, et al.
Optics & Laser Technology (2025) Vol. 186, pp. 112641-112641
Open Access
Using a snow ablation optimizer in an autonomous echo state network for the model-free prediction of chaotic systems
Lin Ding, Yulong Bai, Manhong Fan, et al.
Nonlinear Dynamics (2024) Vol. 112, Iss. 13, pp. 11483-11500
Closed Access | Times Cited: 3
Application of next-generation reservoir computing for predicting chaotic systems from partial observations
Irmantas Ratas, K. Pyragas
Physical review. E (2024) Vol. 109, Iss. 6
Closed Access | Times Cited: 3
Towards On-Site Implementation of Multi-Step Air Pollutant Index Prediction in Malaysia Industrial Area: Comparing the NARX Neural Network and Support Vector Regression
Rosminah Mustakim, Mazlina Mamat, Hoe Tung Yew
Atmosphere (2022) Vol. 13, Iss. 11, pp. 1787-1787
Open Access | Times Cited: 10
Performance improvement of in-materio reservoir computing by noise injection
Masaya Hakoshima, Yuki Usami, Takumi Kotooka, et al.
Japanese Journal of Applied Physics (2023) Vol. 62, Iss. SG, pp. SG1042-SG1042
Open Access | Times Cited: 5
High-dimensional multidisciplinary design optimization for aircraft eco-design
Paul Saves
(2024)
Open Access | Times Cited: 1
Global forecasts in reservoir computers
Spencer Harding, Q. Leishman, W. Lunceford, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2024) Vol. 34, Iss. 2
Open Access | Times Cited: 1
Large sampling intervals for learning and predicting chaotic systems with reservoir computing
Qingyan Xie, Zixiang Yan, Hui Zhao, et al.
Journal of Physics A Mathematical and Theoretical (2024) Vol. 57, Iss. 29, pp. 295702-295702
Closed Access | Times Cited: 1
Constraining chaos: Enforcing dynamical invariants in the training of reservoir computers
Jason A. Platt, Stephen G. Penny, Timothy A. Smith, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2023) Vol. 33, Iss. 10
Open Access | Times Cited: 4
Remarks on Fractal-Fractional Malkus Waterwheel Model with Computational Analysis
Liliana Guran, Esra Karataş Akgül, Ali Akgül, et al.
Symmetry (2022) Vol. 14, Iss. 10, pp. 2220-2220
Open Access | Times Cited: 5
Temporal Subsampling Diminishes Small Spatial Scales in Recurrent Neural Network Emulators of Geophysical Turbulence
Timothy A. Smith, Stephen G. Penny, Jason A. Platt, et al.
Journal of Advances in Modeling Earth Systems (2023) Vol. 15, Iss. 12
Open Access | Times Cited: 2
Chaos prediction of motor based on the integrated method of convolutional neural network and multi-reservoir echo state network
Jiakun Guo, Duqu Wei
Modern Physics Letters B (2024)
Closed Access
Tuning the activation function to optimize the forecast horizon of a reservoir computer
Lauren Hurley, Juan G. Restrepo, Sean E. Shaheen
Journal of Physics Complexity (2024) Vol. 5, Iss. 3, pp. 035004-035004
Open Access
xesn: Echo state networks powered by Xarray and Dask
Timothy A. Smith, Stephen G. Penny, Jason A. Platt, et al.
The Journal of Open Source Software (2024) Vol. 9, Iss. 103, pp. 7286-7286
Open Access
Reservoir computing with higher-order interactive coupled pendulums
Xueqi Li, Michael Small, Youming Lei
Physical review. E (2023) Vol. 108, Iss. 6
Closed Access
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