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:

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

Showing 1-25 of 106 citing articles:

The neuroconnectionist research programme
Adrien Doerig, Rowan P. Sommers, Katja Seeliger, et al.
Nature reviews. Neuroscience (2023) Vol. 24, Iss. 7, pp. 431-450
Open Access | Times Cited: 130
The Computational Theory of Mind
Matteo Colombo, Gualtiero Piccinini
(2023)
Closed Access | Times Cited: 75
What can 1.8 billion regressions tell us about the pressures shaping high-level visual representation in brains and machines?
Colin Conwell, Jacob S. Prince, Kendrick Kay, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 50
Are Deep Neural Networks Adequate Behavioral Models of Human Visual Perception?
Felix A. Wichmann, Robert Geirhos
Annual Review of Vision Science (2023) Vol. 9, Iss. 1, pp. 501-524
Open Access | Times Cited: 35
Functional neuroimaging as a catalyst for integrated neuroscience
Emily S. Finn, Russell A. Poldrack, James M. Shine
Nature (2023) Vol. 623, Iss. 7986, pp. 263-273
Closed Access | Times Cited: 35
Generating meaning: active inference and the scope and limits of passive AI
Giovanni Pezzulo, Thomas Parr, Paul Cisek, et al.
Trends in Cognitive Sciences (2023) Vol. 28, Iss. 2, pp. 97-112
Open Access | Times Cited: 35
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
Why is the Rescorla-Wagner model so influential?
Fabián A. Soto, Edgar Vögel, Yerco E. Uribe-Bahamonde, et al.
Neurobiology of Learning and Memory (2023) Vol. 204, pp. 107794-107794
Open Access | Times Cited: 23
Action Understanding
Angelika Lingnau, Paul E. Downing
(2024)
Closed Access | Times Cited: 10
Benchmarking the speed–accuracy tradeoff in object recognition by humans and neural networks
Ajay Subramanian, Sara Price, Omkar Kumbhar, et al.
Journal of Vision (2025) Vol. 25, Iss. 1, pp. 4-4
Open Access | Times Cited: 1
From Deep Learning to Rational Machines
Cameron Buckner
Oxford University Press eBooks (2023)
Closed Access | Times Cited: 19
Pygmalion Displacement: When Humanising AI Dehumanises Women
Lelia Erscoi, Annelies Kleinherenbrink, Olivia Guest
(2023)
Open Access | Times Cited: 16
A large-scale examination of inductive biases shaping high-level visual representation in brains and machines
Colin Conwell, Jacob S. Prince, Kendrick Kay, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 7
Advancing Naturalistic Affective Science with Deep Learning
Chujun Lin, Landry S. Bulls, Lindsey J. Tepfer, et al.
Affective Science (2023) Vol. 4, Iss. 3, pp. 550-562
Open Access | Times Cited: 13
Solving Bongard Problems With a Visual Language and Pragmatic Constraints
Stefan Depeweg, Contantin A. Rothkopf, Frank Jäkel
Cognitive Science (2024) Vol. 48, Iss. 5
Open Access | Times Cited: 5
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
An image-computable model of speeded decision-making
Paul I. Jaffe, Gustavo X. Santiago-Reyes, Robert J. Schafer, et al.
eLife (2025) Vol. 13
Open Access
A toolbox for calculating quantitative image properties in aesthetics research
Christoph Redies, Ralf Bartho, Lisa Koßmann, et al.
Behavior Research Methods (2025) Vol. 57, Iss. 4
Open Access
Circular and unified analysis in network neuroscience
Mikail Rubinov
eLife (2023) Vol. 12
Open Access | Times Cited: 12
Explanatory models in neuroscience, Part 2: Functional intelligibility and the contravariance principle
Rosa Cao, Daniel Yamins
Cognitive Systems Research (2023) Vol. 85, pp. 101200-101200
Closed Access | Times Cited: 12
Convolutional networks can model the functional modulation of the MEG responses associated with feed-forward processes during visual word recognition
Marijn van Vliet, Oona Rinkinen, Takao Shimizu, et al.
(2025)
Open Access
Deep learning models to study sentence comprehension in the human brain
Sophie Arana, Jacques Pesnot Lerousseau, Peter Hagoort
Language Cognition and Neuroscience (2023) Vol. 39, Iss. 8, pp. 972-990
Open Access | Times Cited: 10
Contrast sensitivity function in deep networks
Arash Akbarinia, Yaniv Morgenstern, Karl R. Gegenfurtner
Neural Networks (2023) Vol. 164, pp. 228-244
Open Access | Times Cited: 9
One more trip to Barcetona: on the special status of visual similarity effects in city names
Manuel Perea, Melanie Labusch, María Fernández‐López, et al.
Psychological Research (2023) Vol. 88, Iss. 1, pp. 271-283
Open Access | Times Cited: 9
Page 1 - Next Page

Scroll to top