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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:

Determination of the Edge of Criticality in Echo State Networks Through Fisher Information Maximization
Lorenzo Livi, Filippo Maria Bianchi, Cesare Alippi
IEEE Transactions on Neural Networks and Learning Systems (2017) Vol. 29, Iss. 3, pp. 706-717
Open Access | Times Cited: 62

Showing 26-50 of 62 citing articles:

Optimizing echo state network through a novel fisher maximization based stochastic gradient descent
Muhammed Maruf Öztürk, İbrahim Arda Çankaya, Deniz İpekçi
Neurocomputing (2020) Vol. 415, pp. 215-224
Closed Access | Times Cited: 17
The echo index and multistability in input-driven recurrent neural networks
Andrea Ceni, Peter Ashwin, Lorenzo Livi, et al.
Physica D Nonlinear Phenomena (2020) Vol. 412, pp. 132609-132609
Open Access | Times Cited: 16
Early Detection of Parkinson's Disease using Spiral Test and Echo State Networks
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2022), pp. 1-8
Closed Access | Times Cited: 9
An Online Learning Strategy for Echo State Network
Xiufang Chen, Long Jin, Shuai Li
IEEE Transactions on Systems Man and Cybernetics Systems (2023) Vol. 54, Iss. 1, pp. 644-655
Closed Access | Times Cited: 5
Echo State Networks with Self-Normalizing Activations on the Hyper-Sphere
Pietro Verzelli, Cesare Alippi, Lorenzo Livi
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 14
Dimension reduction in recurrent networks by canonicalization
Lyudmila Grigoryeva, Juan‐Pablo Ortega
The Journal of Geometric Mechanics (2021) Vol. 13, Iss. 4, pp. 647-647
Open Access | Times Cited: 12
Reservoir computing approaches for representation and classification of multivariate time series.
Filippo Maria Bianchi, Simone Scardapane, Sigurd Løkse, et al.
arXiv (Cornell University) (2018)
Closed Access | Times Cited: 14
Fisher information and criticality in the Kuramoto model of nonidentical oscillators
Alexander C. Kalloniatis, Mathew Zuparic, Mikhail Prokopenko
Physical review. E (2018) Vol. 98, Iss. 2
Closed Access | Times Cited: 13
Exploiting Multiple Timescales in Hierarchical Echo State Networks
Luca Manneschi, Matthew O. A. Ellis, Guido Gigante, et al.
Frontiers in Applied Mathematics and Statistics (2021) Vol. 6
Open Access | Times Cited: 11
A stability criterion for discrete-time fractional-order echo state network and its application
Xianshuang Yao, Zhanshan Wang, Zhanjun Huang
Soft Computing (2021) Vol. 25, Iss. 6, pp. 4823-4831
Closed Access | Times Cited: 10
Input-to-State Representation in Linear Reservoirs Dynamics
Pietro Verzelli, Cesare Alippi, Lorenzo Livi, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 33, Iss. 9, pp. 4598-4609
Open Access | Times Cited: 10
Sensitive Finite-State Computations Using a Distributed Network With a Noisy Network Attractor
Peter Ashwin, Claire Postlethwaite
IEEE Transactions on Neural Networks and Learning Systems (2018) Vol. 29, Iss. 12, pp. 5847-5858
Open Access | Times Cited: 10
Efficient Kinect Sensor-based Kurdish Sign Language Recognition Using Echo System Network
Sami F. Mirza, Abdulbasit K. Al‐Talabani
ARO-The Scientific Journal of Koya University (2021) Vol. 9, Iss. 2, pp. 1-9
Open Access | Times Cited: 7
An intelligent interconnected network with multiple reservoir computing
Xianshuang Yao, Zhanshan Wang
Applied Soft Computing (2019) Vol. 78, pp. 286-295
Closed Access | Times Cited: 7
Temporal overdrive recurrent neural network
Filippo Maria Bianchi, Michael Kampffmeyer, Enrico Maiorino, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2017), pp. 4275-4282
Open Access | Times Cited: 7
A CHARACTERIZATION OF THE EDGE OF CRITICALITY IN BINARY ECHO STATE NETWORKS
Pietro Verzelli, Lorenzo Livi, Cesare Alippi
(2018), pp. 1-6
Open Access | Times Cited: 6
Input representation in recurrent neural networks dynamics.
Pietro Verzelli, Cesare Alippi, Lorenzo Livi, et al.
(2020)
Closed Access | Times Cited: 6
RF Signal Classification using Boolean Reservoir Computing on an FPGA
Heidi Komkov, Liam A. Pocher, Alessandro Restelli, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2021), pp. 1-9
Closed Access | Times Cited: 5
Properties and Training in Recurrent Neural Networks
Filippo Maria Bianchi, Enrico Maiorino, Michael Kampffmeyer, et al.
SpringerBriefs in computer science (2017), pp. 9-21
Closed Access | Times Cited: 4
Local Homeostatic Regulation of the Spectral Radius of Echo-State Networks
Fabian Schubert, Claudius Gros
Frontiers in Computational Neuroscience (2021) Vol. 15
Open Access | Times Cited: 4
Criticality Analysis: Bio-Inspired Nonlinear Data Representation
T. Scheper
Entropy (2023) Vol. 25, Iss. 12, pp. 1660-1660
Open Access | Times Cited: 1
LUTNet-RC: Look-Up Tables Networks for Reservoir Computing on an FPGA
Kanta Yoshioka, Yuichiro Tanaka, Hakaru Tamukoh
(2023), pp. 170-178
Open Access | Times Cited: 1
Reservoir Computing Using Networks of CMOS Logic Gates
Heidi Komkov, Liam A. Pocher, Alessandro Restelli, et al.
(2021) Vol. 148, pp. 1-7
Closed Access | Times Cited: 3
Hyperparameter tuning in echo state networks
Filip Matzner
Proceedings of the Genetic and Evolutionary Computation Conference (2022), pp. 404-412
Open Access | Times Cited: 2
Local homeostatic regulation of the spectral radius of echo-state networks
Fabian Schubert, Claudius Gros
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 2

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