Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

When Noise meets Chaos: Stochastic Resonance in Neurochaos Learning
N B Harikrishnan, Nithin Nagaraj
Neural Networks (2021) Vol. 143, pp. 425-435
Open Access | Times Cited: 15

Showing 15 citing articles:

Predictive coding and stochastic resonance as fundamental principles of auditory phantom perception
Achim Schilling, William Sedley, Richard Gerum, et al.
Brain (2023) Vol. 146, Iss. 12, pp. 4809-4825
Open Access | Times Cited: 45
Double stochastic resonance in neuronal dynamics due to astrocytes
Tuğba Palabaş, Joaquı́n J. Torres, Matjaž Perc, et al.
Chaos Solitons & Fractals (2023) Vol. 168, pp. 113140-113140
Open Access | Times Cited: 37
Predicting Cryptocurrency Fraud Using ChaosNet: The Ethereum Manifestation
Anurag Dutta, Liton Chandra Voumik, Athilingam Ramamoorthy, et al.
Journal of risk and financial management (2023) Vol. 16, Iss. 4, pp. 216-216
Open Access | Times Cited: 30
Random Heterogeneous Neurochaos Learning Architecture for Data Classification
A S Remya Ajai, Nithin Nagaraj
Chaos Theory and Applications (2025) Vol. 7, Iss. 1, pp. 10-30
Open Access
Universal Orbits: Unveiling the Connection between Chaotic Dynamics, Normal Numbers, and Neurochaos Learning
A.F. Henry, Nithin Nagaraj, Rajan Sundaravaradhan
Chaos Theory and Applications (2025) Vol. 7, Iss. 1, pp. 61-69
Open Access
Neurochaos feature transformation for Machine Learning
Deeksha Sethi, Nithin Nagaraj, Harikrishnan N.B.
Integration (2023) Vol. 90, pp. 157-162
Closed Access | Times Cited: 8
Analysis of logistic map based neurons in neurochaos learning architectures for data classification
A S Remya Ajai, Harikrishnan N.B., Nithin Nagaraj
Chaos Solitons & Fractals (2023) Vol. 170, pp. 113347-113347
Closed Access | Times Cited: 6
Design of a SIMO Deep Learning-Based Chaos Shift Keying (DLCSK) Communication System
Majid Mobini, Georges Kaddoum, Marijan Herceg
Sensors (2022) Vol. 22, Iss. 1, pp. 333-333
Open Access | Times Cited: 9
The Unreasonable Effectiveness of the Chaotic Tent Map in Engineering Applications
Nithin Nagaraj
Chaos Theory and Applications (2022) Vol. 4, Iss. 4, pp. 197-204
Open Access | Times Cited: 7
An adaptive stochastic resonance detection method based on a fast artificial fish swarm algorithm
Chenxi Liang, Zheng Dou, Lihao Li, et al.
Journal of Physics Conference Series (2023) Vol. 2517, Iss. 1, pp. 012013-012013
Open Access | Times Cited: 3
Neural Networks special issue on Artificial Intelligence and Brain Science
Kenji Doya, Karl Friston, Masashi Sugiyama, et al.
Neural Networks (2022) Vol. 155, pp. 328-329
Open Access | Times Cited: 4
Robust neural networks using stochastic resonance neurons
Egor Manuylovich, Diego Argüello Ron, Morteza Kamalian-Kopae, et al.
Communications Engineering (2024) Vol. 3, Iss. 1
Open Access
Channel noise induced stochastic effect of Hodgkin–Huxley neurons in a real classification task
Yasemin Erkan, Erdem Erkan
Journal of Theoretical Biology (2024), pp. 112028-112028
Closed Access
Predicting Ethereum Fraudulency using ChaosNet
Anurag Dutta, Samrat Ray
Research Square (Research Square) (2023)
Open Access
Encompassing Chaos in Brain-inspired Neural Network Models for Substance Identification and Breast Cancer Detection
Hanae Naoum, Sidi Mohamed Benslimane, Mounir Boukadoum
Advances in Science Technology and Engineering Systems Journal (2022) Vol. 7, Iss. 3, pp. 32-43
Open Access
Page 1

Scroll to top