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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:

Texture-like representation of objects in human visual cortex
Akshay Jagadeesh, Justin L. Gardner
Proceedings of the National Academy of Sciences (2022) Vol. 119, Iss. 17
Open Access | Times Cited: 41

Showing 1-25 of 41 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
Does the brain's ventral visual pathway compute object shape?
Vladislav Ayzenberg, Marlene Behrmann
Trends in Cognitive Sciences (2022) Vol. 26, Iss. 12, pp. 1119-1132
Open Access | Times Cited: 55
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
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
Efficient coding of natural images in the mouse visual cortex
Federico Bolaños, Javier G. Orlandi, Ryo Aoki, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 10
Cortical topographic motifs emerge in a self-organized map of object space
Fenil R. Doshi, Talia Konkle
Science Advances (2023) Vol. 9, Iss. 25
Open Access | Times Cited: 20
The neural code for “face cells” is not face-specific
Kasper Vinken, Jacob S. Prince, Talia Konkle, et al.
Science Advances (2023) Vol. 9, Iss. 35
Open Access | Times Cited: 20
Perception of an object’s global shape is best described by a model of skeletal structure in human infants
Vladislav Ayzenberg, Stella F. Lourenco
eLife (2022) Vol. 11
Open Access | Times Cited: 27
Harmonizing the object recognition strategies of deep neural networks with humans.
Thomas Fel, Iván Felipe, Drew Linsley, et al.
PubMed (2022) Vol. 35, pp. 9432-9446
Closed Access | Times Cited: 27
Approximating Human-Level 3D Visual Inferences With Deep Neural Networks
Thomas P. O’Connell, Tyler Bonnen, Yoni Friedman, et al.
Open Mind (2025) Vol. 9, pp. 305-324
Open Access
Mid-level Feature Differences Support Early Animacy and Object Size Distinctions: Evidence from Electroencephalography Decoding
Ruosi Wang, Daniel Janini, Talia Konkle
Journal of Cognitive Neuroscience (2022) Vol. 34, Iss. 9, pp. 1670-1680
Open Access | Times Cited: 19
Computational reconstruction of mental representations using human behavior
Laurent Caplette, Nicholas B. Turk‐Browne
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 3
The emergence of visual category representations in infants’ brains
Xiaoqian Yan, Sarah Tung, Bella Fascendini, et al.
eLife (2024) Vol. 13
Open Access | Times Cited: 2
Ramp-shaped neural tuning supports graded population-level representation of the object-to-scene continuum
Jeongho Park, Emilie Josephs, Talia Konkle
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 12
A novel feature-scrambling approach reveals the capacity of convolutional neural networks to learn spatial relations
Amr Farahat, Felix Effenberger, Martin Vinck
Neural Networks (2023) Vol. 167, pp. 400-414
Open Access | Times Cited: 6
Visual object topographic motifs emerge from self-organization of a unified representational space
Fenil R. Doshi, Talia Konkle
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Closed Access | Times Cited: 9
On the importance of severely testing deep learning models of cognition
Jeffrey S. Bowers, Gaurav Malhotra, Federico Adolfi, et al.
(2023)
Open Access | Times Cited: 5
On the importance of severely testing deep learning models of cognition
Jeffrey S. Bowers, Gaurav Malhotra, Federico Adolfi, et al.
Cognitive Systems Research (2023) Vol. 82, pp. 101158-101158
Open Access | Times Cited: 4
High-dimensional topographic organization of visual features in the primate temporal lobe
Mengna Yao, Bin Wen, Mingpo Yang, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Responses of neurons in macaque V4 to object and texture images
Justin D. Lieber, Timothy D. Oleskiw, Eero P. Simoncelli, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Trained deep neural network models of the ventral visual pathway encode numerosity with robustness to object and scene identity
Thomas Chapalain, Bertrand Thirion, Evelyn Eger
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Zero-shot counting with a dual-stream neural network model
Jessica A. F. Thompson, Hannah Sheahan, Tsvetomira Dumbalska, et al.
Neuron (2024)
Open Access | Times Cited: 1
Face cells encode object parts more than facial configuration of illusory faces
Saloni Sharma, Kasper Vinken, Akshay Jagadeesh, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 1
A spatiotemporal style transfer algorithm for dynamic visual stimulus generation
Antonino Greco, Markus Siegel
Nature Computational Science (2024)
Open Access | Times Cited: 1
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