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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:

Natural and Artificial Intelligence: A brief introduction to the interplay between AI and neuroscience research
Tom Macpherson, Anne K. Churchland, Terry Sejnowski, et al.
Neural Networks (2021) Vol. 144, pp. 603-613
Open Access | Times Cited: 93

Showing 1-25 of 93 citing articles:

Catalyzing next-generation Artificial Intelligence through NeuroAI
Anthony M. Zador, G. Sean Escola, Blake A. Richards, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 148
Artificial intelligence as an enabler for entrepreneurs: a systematic literature review and an agenda for future research
Guglielmo Giuggioli, Massimiliano Matteo Pellegrini
International Journal of Entrepreneurial Behaviour & Research (2022) Vol. 29, Iss. 4, pp. 816-837
Open Access | Times Cited: 139
Generative artificial intelligence empowers educational reform: current status, issues, and prospects
Hao Yu, Yunyun Guo
Frontiers in Education (2023) Vol. 8
Open Access | Times Cited: 126
Deep problems with neural network models of human vision
Jeffrey S. Bowers, Gaurav Malhotra, Marin Dujmović, et al.
Behavioral and Brain Sciences (2022) Vol. 46
Open Access | Times Cited: 104
Class imbalance should not throw you off balance: Choosing the right classifiers and performance metrics for brain decoding with imbalanced data
Philipp Thölke, Yorguin-José Mantilla-Ramos, Hamza Abdelhedi, et al.
NeuroImage (2023) Vol. 277, pp. 120253-120253
Open Access | Times Cited: 50
Convergence of Artificial Intelligence and Neuroscience towards the Diagnosis of Neurological Disorders—A Scoping Review
Chellammal Surianarayanan, John Jeyasekaran Lawrence, Pethuru Raj Chelliah, et al.
Sensors (2023) Vol. 23, Iss. 6, pp. 3062-3062
Open Access | Times Cited: 48
Two-Dimensional Materials for Brain-Inspired Computing Hardware
Shreyash Hadke, Min‐A Kang, Vinod K. Sangwan, et al.
Chemical Reviews (2025)
Closed Access | Times Cited: 1
Lessons from infant learning for unsupervised machine learning
Lorijn Zaadnoordijk, Tarek R. Besold, Rhodri Cusack
Nature Machine Intelligence (2022) Vol. 4, Iss. 6, pp. 510-520
Closed Access | Times Cited: 47
Artificial intelligence and psychiatry research and practice
Joseph Thornton, Russell D’Souza, Rajiv Tandon
Asian Journal of Psychiatry (2023) Vol. 81, pp. 103509-103509
Closed Access | Times Cited: 35
Artificial Intelligence and Neuroscience: Transformative Synergies in Brain Research and Clinical Applications
Răzvan Onciul, Cătălina-Ioana Tătaru, Adrian Dumitru, et al.
Journal of Clinical Medicine (2025) Vol. 14, Iss. 2, pp. 550-550
Open Access
Unsupervised representation learningwith Hebbian synaptic and structural plasticity inbrain-like feedforward neural networks
Naresh Balaji Ravichandran, Anders Lansner, Pawel Herman
Neurocomputing (2025), pp. 129440-129440
Open Access
Artificial intelligence for brain neuroanatomical segmentation in magnetic resonance imaging: A literature review
M. D. Andrews, Antonio Di Ieva
Journal of Clinical Neuroscience (2025) Vol. 134, pp. 111073-111073
Open Access
Optimization of Artificial Intelligence Algorithm Selection: PIPRECIA-S Model and Multi-Criteria Analysis
Stefan Popović, Dejan Viduka, Ana Bašić, et al.
Electronics (2025) Vol. 14, Iss. 3, pp. 562-562
Open Access
Deep Problems with Neural Network Models of Human Vision
Jeffrey S. Bowers, Gaurav Malhotra, Marin Dujmović, et al.
(2022)
Open Access | Times Cited: 28
A Historical Interaction between Artificial Intelligence and Philosophy
Youheng Zhang
Teorie vědy / Theory of Science (2023) Vol. 1, Iss. 1
Open Access | Times Cited: 16
What have we learned about artificial intelligence from studying the brain?
Samuel J. Gershman
Biological Cybernetics (2024) Vol. 118, Iss. 1-2, pp. 1-5
Closed Access | Times Cited: 5
A method for the ethical analysis of brain-inspired AI
Michele Farisco, Giuliano Di Baldassarre, Emilio Cartoni, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 6
Open Access | Times Cited: 5
An Introduction to Generative AI Tools for Education 2030
Ramandeep Sandhu, Harpreet Kaur Channi, Deepika Ghai, et al.
Advances in educational technologies and instructional design book series (2024), pp. 1-28
Closed Access | Times Cited: 5
How Can the Current State of AI Guide Future Conversations of General Intelligence?
Tomoe Kanaya, Ali Magine
Journal of Intelligence (2024) Vol. 12, Iss. 3, pp. 36-36
Open Access | Times Cited: 4
The memory systems of the human brain and generative artificial intelligence
Edmund T. Rolls
Heliyon (2024) Vol. 10, Iss. 11, pp. e31965-e31965
Open Access | Times Cited: 4
Large-scale foundation models and generative AI for BigData neuroscience
Ran Wang, Zhe Chen
Neuroscience Research (2024)
Open Access | Times Cited: 4
The thalamus in psychosis spectrum disorder
Alan Anticevic, Michael M. Halassa
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 13
An Umbrella Review of the Fusion of fMRI and AI in Autism
Daniele Giansanti
Diagnostics (2023) Vol. 13, Iss. 23, pp. 3552-3552
Open Access | Times Cited: 12
Human-cognition-inspired deep model with its application to ocean wave height forecasting
Han Wu, Yan Liang, Xiao‐Zhi Gao, et al.
Expert Systems with Applications (2023) Vol. 230, pp. 120606-120606
Closed Access | Times Cited: 11
Social Neuro AI: Social Interaction as the “Dark Matter” of AI
Samuele Bolotta, Guillaume Dumas
Frontiers in Computer Science (2022) Vol. 4
Open Access | Times Cited: 17
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