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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:

Modern Artificial Neural Networks: Is Evolution Cleverer?
Andreas Bahmer, Daya S. Gupta, Felix Effenberger
Neural Computation (2023) Vol. 35, Iss. 5, pp. 763-806
Closed Access | Times Cited: 13

Showing 13 citing articles:

Application of physics-informed neural networks in fault diagnosis and fault-tolerant control design for electric vehicles: A review
Arslan Ahmed Amin, Amir Zaki Mubarak, Saba Waseem
Measurement (2025), pp. 116728-116728
Closed Access | Times Cited: 1
Enhanced electrical and magnetic properties of (Co, Yb) co-doped ZnO memristor for neuromorphic computing
Noureddine Elboughdiri, Shahid Iqbal, Sherzod Abdullaev, et al.
RSC Advances (2023) Vol. 13, Iss. 51, pp. 35993-36008
Open Access | Times Cited: 12
Hippocampome.org 2.0 is a knowledge base enabling data-driven spiking neural network simulations of rodent hippocampal circuits
Diek W. Wheeler, Jeffrey D. Kopsick, Nate Sutton, et al.
eLife (2023) Vol. 12
Open Access | Times Cited: 11
Recent Advances in Artificial Intelligence to Improve Immunotherapy and the Use of Digital Twins to Identify Prognosis of Patients with Solid Tumors
Laura D’Orsi, Biagio Capasso, Giuseppe Lamacchia, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 21, pp. 11588-11588
Open Access | Times Cited: 4
GEPAF: A non-monotonic generalized activation function in neural network for improving prediction with diverse data distributions characteristics
Khush Attarde, Javed Sayyad
Neural Networks (2024) Vol. 180, pp. 106738-106738
Closed Access | Times Cited: 2
Constructing convolutional neural network by utilizing nematode connectome: A brain-inspired method
Dan Su, Liangming Chen, Xiaohao Du, et al.
Applied Soft Computing (2023) Vol. 149, pp. 110992-110992
Closed Access | Times Cited: 5
A Bio-Inspired Chaos Sensor Model Based on the Perceptron Neural Network: Machine Learning Concept and Application for Computational Neuro-Science
Andrei Velichko, П. П. Борисков, Maksim Belyaev, et al.
Sensors (2023) Vol. 23, Iss. 16, pp. 7137-7137
Open Access | Times Cited: 4
Hippocampome.org 2.0 is a knowledge base enabling data-driven spiking neural network simulations of rodent hippocampal circuits
Diek W. Wheeler, Jeffrey D. Kopsick, Nate Sutton, et al.
eLife (2024) Vol. 12
Open Access | Times Cited: 1
Derivation of Optimal Operation Factors of Anaerobic Digesters through Artificial Neural Network Technology
Yumeng Bao, Ravindranadh Koutavarapu, Tae-Gwan Lee
Systems (2023) Vol. 11, Iss. 7, pp. 375-375
Open Access | Times Cited: 3
Hippocampome.org v2.0: a knowledge base enabling data-driven spiking neural network simulations of rodent hippocampal circuits
Diek W. Wheeler, Jeffrey D. Kopsick, Nate Sutton, et al.
(2024)
Open Access
Artificial intelligence in medicine: neural networks for analyzing systemic hemodynamics
Е. Соколова, Timofey Sergeev, М. В. Куропатенко
Medical academic journal (2024) Vol. 24, Iss. 2, pp. 5-12
Closed Access
Hippocampome.org v2.0: a knowledge base enabling data-driven spiking neural network simulations of rodent hippocampal circuits
Diek W. Wheeler, Jeffrey D. Kopsick, Nate Sutton, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Hippocampome.org v2.0: a knowledge base enabling data-driven spiking neural network simulations of rodent hippocampal circuits
Diek W. Wheeler, Jeffrey D. Kopsick, Nate Sutton, et al.
(2023)
Open Access
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