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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:

On Logical Inference over Brains, Behaviour, and Artificial Neural Networks
Olivia Guest, Andrea E. Martin
Computational Brain & Behavior (2023) Vol. 6, Iss. 2, pp. 213-227
Open Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

Using large language models in psychology
Dorottya Demszky, Diyi Yang, David S. Yeager, et al.
Nature Reviews Psychology (2023)
Closed Access | Times Cited: 149
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: 106
A shared model-based linguistic space for transmitting our thoughts from brain to brain in natural conversations
Zaid Zada, Ariel Goldstein, Sebastian Michelmann, et al.
Neuron (2024) Vol. 112, Iss. 18, pp. 3211-3222.e5
Closed Access | Times Cited: 15
Prediction during language comprehension: what is next?
Rachel Ryskin, Mante S. Nieuwland
Trends in Cognitive Sciences (2023) Vol. 27, Iss. 11, pp. 1032-1052
Open Access | Times Cited: 37
Computational Language Modeling and the Promise of In Silico Experimentation
Shailee Jain, Vy A. Vo, Leila Wehbe, et al.
Neurobiology of Language (2023) Vol. 5, Iss. 1, pp. 80-106
Open Access | Times Cited: 27
Successes and critical failures of neural networks in capturing human-like speech recognition
Federico Adolfi, Jeffrey S. Bowers, David Poeppel
Neural Networks (2023) Vol. 162, pp. 199-211
Open Access | Times Cited: 25
Many but not all deep neural network audio models capture brain responses and exhibit correspondence between model stages and brain regions
Greta Tuckute, Jenelle Feather, Dana Boebinger, et al.
PLoS Biology (2023) Vol. 21, Iss. 12, pp. e3002366-e3002366
Open Access | Times Cited: 25
Reclaiming AI as a theoretical tool for cognitive science
Iris van Rooij, Olivia Guest, Federico Adolfi, et al.
(2023)
Open Access | Times Cited: 24
Reclaiming AI as a Theoretical Tool for Cognitive Science
Iris van Rooij, Olivia Guest, Federico Adolfi, et al.
Computational Brain & Behavior (2024)
Open Access | Times Cited: 14
Language in Brains, Minds, and Machines
Greta Tuckute, Nancy Kanwisher, Evelina Fedorenko
Annual Review of Neuroscience (2024) Vol. 47, Iss. 1, pp. 277-301
Closed Access | Times Cited: 11
Shared functional specialization in transformer-based language models and the human brain
Sreejan Kumar, Theodore R. Sumers, Takateru Yamakoshi, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 9
What Makes a Good Theory, and How Do We Make a Theory Good?
Olivia Guest
Computational Brain & Behavior (2024)
Open Access | Times Cited: 8
Evaluating the language abilities of Large Language Models vs. humans: Three caveats
Evelina Leivada, Vittoria Dentella, Fritz Günther
Biolinguistics (2024) Vol. 18
Open Access | Times Cited: 6
CBGTPy: An extensible cortico-basal ganglia-thalamic framework for modeling biological decision making
Matthew Clapp, Jyotika Bahuguna, Cristina Giossi, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0310367-e0310367
Open Access
Possibilities for evaluation to foster the soft skills of critical thinking, creativity, and communication in higher education
Stanislav Dadelo
Creativity Studies (2025) Vol. 18, Iss. 1, pp. 13-29
Open Access
Deep-Thinking Prototypical Network: A Conjecture on the Interaction of Unmanned Vehicles with Human Mind
Wenfeng Wang, X. P. Xu, Yichen Lu, et al.
Smart innovation, systems and technologies (2025), pp. 3-18
Closed Access
Testing AI on language comprehension tasks reveals insensitivity to underlying meaning
Vittoria Dentella, Fritz Günther, Elliot Murphy, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Cardiac Heterogeneity Prediction by Cardio-Neural Network Simulation
Asif Mehmood, Ayesha Ilyas, H. Ilyas
Neuroinformatics (2025) Vol. 23, Iss. 2
Closed Access
Designing Explainable Artificial Intelligence with Active Inference: A Framework for Transparent Introspection and Decision-Making
Mahault Albarracin, Inês Hipólito, Safae Essafi Tremblay, et al.
Communications in computer and information science (2023), pp. 123-144
Closed Access | Times Cited: 10
From empirical problem-solving to theoretical problem-finding perspectives on the cognitive sciences
Federico Adolfi, Laura van de Braak, Marieke Woensdregt
(2023)
Open Access | Times Cited: 9
Deep social neuroscience: the promise and peril of using artificial neural networks to study the social brain
Beau Sievers, Mark Thornton
Social Cognitive and Affective Neuroscience (2024) Vol. 19, Iss. 1
Open Access | Times Cited: 3
Encoding of speech in convolutional layers and the brain stem based on language experience
Gašper Beguš, Alan Zhou, T. Christina Zhao
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
A Critical Perspective on Neural Mechanisms in Cognitive Neuroscience: Towards Unification
Sander van Bree
Perspectives on Psychological Science (2023) Vol. 19, Iss. 6, pp. 993-1010
Open Access | Times Cited: 7
Lexical surprisal shapes the time course of syntactic structure building
Sophie Slaats, Antje S. Meyer, Andrea E. Martin
Neurobiology of Language (2024) Vol. 5, Iss. 4, pp. 942-980
Open Access | Times Cited: 2
From Empirical Problem-Solving to Theoretical Problem-Finding Perspectives on the Cognitive Sciences
Federico Adolfi, Laura van de Braak, Marieke Woensdregt
Computational Brain & Behavior (2024)
Open Access | Times Cited: 2
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