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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:

Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future
Grace W. Lindsay
Journal of Cognitive Neuroscience (2020) Vol. 33, Iss. 10, pp. 2017-2031
Open Access | Times Cited: 442

Showing 1-25 of 442 citing articles:

If deep learning is the answer, what is the question?
Andrew Saxe, Stephanie Nelli, Christopher Summerfield
Nature reviews. Neuroscience (2020) Vol. 22, Iss. 1, pp. 55-67
Open Access | Times Cited: 342
Attention in Psychology, Neuroscience, and Machine Learning
Grace W. Lindsay
Frontiers in Computational Neuroscience (2020) Vol. 14
Open Access | Times Cited: 245
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: 132
Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons
Irina Higgins, Le Chang, Victoria Langston, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 115
Artificial Intelligence–Enabled Assessment of the Heart Rate Corrected QT Interval Using a Mobile Electrocardiogram Device
John R. Giudicessi, Matthew Schram, J. Martijn Bos, et al.
Circulation (2021) Vol. 143, Iss. 13, pp. 1274-1286
Open Access | Times Cited: 106
Predictive Coding Approximates Backprop Along Arbitrary Computation Graphs
Beren Millidge, Alexander Tschantz, Christopher L. Buckley
Neural Computation (2022) Vol. 34, Iss. 6, pp. 1329-1368
Open Access | Times Cited: 70
Neural knowledge assembly in humans and neural networks
Stephanie Nelli, Lukas Braun, Tsvetomira Dumbalska, et al.
Neuron (2023) Vol. 111, Iss. 9, pp. 1504-1516.e9
Open Access | Times Cited: 42
Performance vs. competence in human–machine comparisons
Chaz Firestone
Proceedings of the National Academy of Sciences (2020) Vol. 117, Iss. 43, pp. 26562-26571
Open Access | Times Cited: 125
Diverse Deep Neural Networks All Predict Human Inferior Temporal Cortex Well, After Training and Fitting
Katherine R. Storrs, Tim C. Kietzmann, Alexander Walther, et al.
Journal of Cognitive Neuroscience (2021), pp. 1-21
Open Access | Times Cited: 77
Unsupervised learning predicts human perception and misperception of gloss
Katherine R. Storrs, Barton L. Anderson, Roland W. Fleming
Nature Human Behaviour (2021) Vol. 5, Iss. 10, pp. 1402-1417
Open Access | Times Cited: 60
Perception and memory have distinct spatial tuning properties in human visual cortex
Serra E. Favila, Brice A. Kuhl, Jonathan Winawer
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 45
Understanding Human Object Vision: A Picture Is Worth a Thousand Representations
Stefania Bracci, Hans Op de Beeck
Annual Review of Psychology (2022) Vol. 74, Iss. 1, pp. 113-135
Open Access | Times Cited: 45
Artificial Intelligence Based on Machine Learning in Pharmacovigilance: A Scoping Review
Benjamin Kompa, Joe B. Hakim, Anil Palepu, et al.
Drug Safety (2022) Vol. 45, Iss. 5, pp. 477-491
Open Access | Times Cited: 43
2022 Review of Data-Driven Plasma Science
Rushil Anirudh, Richard Archibald, M. Salman Asif, et al.
IEEE Transactions on Plasma Science (2023) Vol. 51, Iss. 7, pp. 1750-1838
Open Access | Times Cited: 41
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: 39
Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signals
Timo Flesch, Dávid Nagy, Andrew Saxe, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 1, pp. e1010808-e1010808
Open Access | Times Cited: 37
Evaluation of artificial intelligence model for crowding categorization and extraction diagnosis using intraoral photographs
Jiho Ryu, Ye-Hyun Kim, Tae‐Woo Kim, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 32
Brain-optimized deep neural network models of human visual areas learn non-hierarchical representations
Ghislain St-Yves, Emily J. Allen, Yihan Wu, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 30
Decoding movement kinematics from EEG using an interpretable convolutional neural network
Davide Borra, Valeria Mondini, Elisa Magosso, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107323-107323
Open Access | Times Cited: 26
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
High-performing neural network models of visual cortex benefit from high latent dimensionality
Eric Elmoznino, Michael Bonner
PLoS Computational Biology (2024) Vol. 20, Iss. 1, pp. e1011792-e1011792
Open Access | Times Cited: 14
Computational complexity as a potential limitation on brain–behaviour mapping
Ayberk Ozkirli, Michael H. Herzog, Maya A. Jastrzębowska
European Journal of Neuroscience (2025) Vol. 61, Iss. 1
Open Access | Times Cited: 1
Visuospatial coding as ubiquitous scaffolding for human cognition
Iris I.A. Groen, Tessa M. Dekker, Tomas Knapen, et al.
Trends in Cognitive Sciences (2021) Vol. 26, Iss. 1, pp. 81-96
Open Access | Times Cited: 53
Deep neural network models reveal interplay of peripheral coding and stimulus statistics in pitch perception
Mark R. Saddler, Ray González, Josh H. McDermott
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 53
Unveiling functions of the visual cortex using task-specific deep neural networks
Kshitij Dwivedi, Michael Bonner, Radoslaw M. Cichy, et al.
PLoS Computational Biology (2021) Vol. 17, Iss. 8, pp. e1009267-e1009267
Open Access | Times Cited: 45
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