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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:

Emergence of Network Motifs in Deep Neural Networks
Matteo Zambra, Amos Maritan, Alberto Testolin
Entropy (2020) Vol. 22, Iss. 2, pp. 204-204
Open Access | Times Cited: 11

Showing 11 citing articles:

Construction and verification of retinal vessel segmentation algorithm for color fundus image under BP neural network model
Siyuan Tang, Feifei Yu
The Journal of Supercomputing (2020) Vol. 77, Iss. 4, pp. 3870-3884
Closed Access | Times Cited: 78
Structure and performance of fully connected neural networks: Emerging complex network properties
Leonardo Scabini, Odemir Martinez Bruno
Physica A Statistical Mechanics and its Applications (2023) Vol. 615, pp. 128585-128585
Open Access | Times Cited: 35
Exploring continual learning strategies in artificial neural networks through graph-based analysis of connectivity: Insights from a brain-inspired perspective
Lucrezia Carboni, Dwight Nwaigwe, Marion Mainsant, et al.
Neural Networks (2025) Vol. 185, pp. 107125-107125
Open Access
The AI trilemma: Saving the planet without ruining our jobs
Ekkehard Ernst
Frontiers in Artificial Intelligence (2022) Vol. 5
Open Access | Times Cited: 17
A Developmental Approach for Training Deep Belief Networks
Matteo Zambra, Alberto Testolin, Marco Zorzi
Cognitive Computation (2022) Vol. 15, Iss. 1, pp. 103-120
Open Access | Times Cited: 17
Improving deep neural network random initialization through neuronal rewiring
Leonardo Scabini, Bernard De Baets, Odemir Martinez Bruno
Neurocomputing (2024) Vol. 599, pp. 128130-128130
Open Access | Times Cited: 2
Graph-based methods coupled with specific distributional distances for adversarial attack detection
Dwight Nwaigwe, Lucrezia Carboni, Martial Mermillod, et al.
Neural Networks (2023) Vol. 169, pp. 11-19
Open Access | Times Cited: 3
Characterizing Learning Dynamics of Deep Neural Networks via Complex Networks
Emanuele La Malfa, Gabriele La Malfa, Giuseppe Nicosia, et al.
2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI) (2021), pp. 344-351
Open Access | Times Cited: 5
Exploring Continual Learning Strategies in Artificial Neural Net-Exploring Continual Learning Strategies in Artificial Neural Networks Through Graph-Based Analysis of Connectivity: Insights from a Brain-Inspired Perspective
Lucrezia Carboni, Dwight Nwaigwe, Marion Mainsant, et al.
(2024)
Closed Access
Bit Attacking Deep Neural Networks Based on Complex Networks Theory
Yijing Zhou, Shunkun Yang, Qi Shao, et al.
(2024), pp. 260-268
Closed Access
Graph-Based Methods Coupled with Specific Distributional Distances for Adversarial Attack Detection
Dwight Nwaigwe, Lucrezia Carboni, Martial Mermillod, et al.
(2023)
Open Access
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