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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:

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

Showing 1-25 of 45 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
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
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: 44
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
Degrees of algorithmic equivalence between the brain and its DNN models
Philippe G. Schyns, Lukas Snoek, Christoph Daube
Trends in Cognitive Sciences (2022) Vol. 26, Iss. 12, pp. 1090-1102
Open Access | Times Cited: 31
Neurobiological mechanisms for language, symbols and concepts: Clues from brain-constrained deep neural networks
Friedemann Pulvermüller
Progress in Neurobiology (2023) Vol. 230, pp. 102511-102511
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
Diverse task-driven modeling of macaque V4 reveals functional specialization towards semantic tasks
Santiago A. Cadena, Konstantin F. Willeke, Kelli Restivo, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 5, pp. e1012056-e1012056
Open Access | Times Cited: 6
Skeletal representations of shape in the human visual cortex
Vladislav Ayzenberg, Frederik S. Kamps, Daniel D. Dilks, et al.
Neuropsychologia (2021) Vol. 164, pp. 108092-108092
Open Access | Times Cited: 34
Self-supervision deep learning models are better models of human high-level visual cortex: The roles of multi-modality and dataset training size
Idan Grosbard, Galit Yovel
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
NeuroFusionNet: cross-modal modeling from brain activity to visual understanding
Kun Lang, Jianwei Fang, Guohai Su
Frontiers in Computational Neuroscience (2025) Vol. 19
Open Access
High-performing neural network models of visual cortex benefit from high latent dimensionality
Eric Elmoznino, Michael Bonner
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 21
Neural responses in early, but not late, visual cortex are well predicted by random-weight CNNs with sufficient model complexity
Amr Farahat, Martin Vinck
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Closed Access
A New Pooling Method for Cnn-based Deep Learning Models
Kemal Turhan, Erşan Kalaycı, Sinem Özdemir
Research Square (Research Square) (2025)
Closed Access
The impact of early and late blindness on language and verbal working memory: A brain-constrained neural model
Rosario Tomasello, Maxime Carriere, Friedemann Pulvermüller
Neuropsychologia (2024) Vol. 196, pp. 108816-108816
Open Access | Times Cited: 3
Decoding face recognition abilities in the human brain
Simon Faghel-Soubeyrand, Meike Ramon, Eva Bamps, et al.
PNAS Nexus (2024) Vol. 3, Iss. 3
Open Access | Times Cited: 3
Visual features are processed before navigational affordances in the human brain
Kshitij Dwivedi, Sari Saba-Sadiya, Marta P. Balode, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Representational maps in the brain: concepts, approaches, and applications
Takahiro Noda, Dominik F. Aschauer, Anna R. Chambers, et al.
Frontiers in Cellular Neuroscience (2024) Vol. 18
Open Access | Times Cited: 3
The topology and geometry of neural representations
Baihan Lin, Nikolaus Kriegeskorte
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 42
Open Access | Times Cited: 3
Summarization of Videos with the Signature Transform
J. de Curtò, I. de Zarzà, Gemma Roig, et al.
Electronics (2023) Vol. 12, Iss. 7, pp. 1735-1735
Open Access | Times Cited: 8
Diverse task-driven modeling of macaque V4 reveals functional specialization towards semantic tasks
Santiago A. Cadena, Konstantin F. Willeke, Kelli Restivo, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Closed Access | Times Cited: 13
Human Visual Cortex and Deep Convolutional Neural Network Care Deeply about Object Background
Jessica Loke, Noor Seijdel, Lukas Snoek, et al.
Journal of Cognitive Neuroscience (2024) Vol. 36, Iss. 3, pp. 551-566
Open Access | Times Cited: 2
Deep neural networks are not a single hypothesis but a language for expressing computational hypotheses
Tal Golan, JohnMark Taylor, Heiko H. Schütt, et al.
Behavioral and Brain Sciences (2023) Vol. 46
Open Access | Times Cited: 4
Exploring the categorical nature of colour perception: Insights from artificial networks
Arash Akbarinia
Neural Networks (2024) Vol. 181, pp. 106758-106758
Open Access | Times Cited: 1
Deep neural networks are not a single hypothesis but a language for expressing computational hypotheses
Tal Golan, JohnMark Taylor, Heiko H. Schütt, et al.
(2023)
Open Access | Times Cited: 3
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