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:

Better models of human high-level visual cortex emerge from natural language supervision with a large and diverse dataset
Aria Wang, Kendrick Kay, Thomas Naselaris, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 12, pp. 1415-1426
Closed Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

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

Distributed representations of behaviour-derived object dimensions in the human visual system
Oliver Contier, Chris I. Baker, Martin N. Hebart
Nature Human Behaviour (2024)
Open Access | Times Cited: 6

The Oomplet dataset toolkit as a flexible and extensible system for large-scale, multi-category image generation
John P. Kasarda, Angela Zhang, Hua Tong, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Partial information transfer from peripheral visual streams to foveal visual streams may be mediated through local primary visual circuits
Andrea I. Costantino, Benjamin O. Turner, Mark A. Williams, et al.
NeuroImage (2025), pp. 121147-121147
Open Access

Language modulates vision: Evidence from neural networks and human brain-lesion models
Yanchao Bi, Haoyang Chen, Bo Liu, et al.
Research Square (Research Square) (2025)
Open Access

NeuralDiffuser: Neuroscience-inspired Diffusion Guidance for fMRI Visual Reconstruction
Haoyu Li, Hao Wu, Badong Chen
IEEE Transactions on Image Processing (2025) Vol. 34, pp. 552-565
Closed Access

Origins of food selectivity in human visual cortex
Margaret Henderson, Michael J. Tarr, Leila Wehbe
Trends in Neurosciences (2025)
Closed Access

A simple clustering approach to map the human brain's cortical semantic network organization during task
Yunhao Zhang, Shaonan Wang, Nan Lin, et al.
NeuroImage (2025), pp. 121096-121096
Open Access

Brain2GAN: Feature-disentangled neural encoding and decoding of visual perception in the primate brain
Thirza Dado, Paolo Papale, Antonio Lozano, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 5, pp. e1012058-e1012058
Open Access | Times Cited: 3

A high-throughput approach for the efficient prediction of perceived similarity of natural objects
Philipp Kaniuth, Florian P. Mahner, Jonas Perkuhn, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3

Text-related functionality and dynamics of visual human pre-frontal activations revealed through neural network convergence
Adva Shoham, Rotem Broday-Dvir, Itay Yaron, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2

The Brain Tells a Story: Unveiling Distinct Representations of Semantic Content in Speech, Objects, and Stories in the Human Brain with Large Language Models
Yuko Nakagi, Takuya Matsuyama, Naoko Koide–Majima, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1

Individual differences in prefrontal coding of visual features
Qi Lin, Hakwan Lau
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1

Fine-grained knowledge about manipulable objects is well-predicted by CLIP
Jon Walbrin, Nikita Sossounov, Morteza Mahdiani, et al.
(2024)
Open Access | Times Cited: 1

Convolutional architectures are cortex-aligned de novo
Atlas Kazemian, Eric Elmoznino, Michael Bonner
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1

Fine-grained knowledge about manipulable objects is well-predicted by contrastive language image pre-training
Jon Walbrin, Nikita Sossounov, Morteza Mahdiani, et al.
iScience (2024) Vol. 27, Iss. 7, pp. 110297-110297
Open Access | Times Cited: 1

Distributed representations of behavior-derived object dimensions in the human visual system
Oliver Contier, Chris I. Baker, Martin N. Hebart
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3

Brain2GAN: Feature-disentangled neural encoding and decoding of visual perception in the primate brain
Thirza Dado, Paolo Papale, Antonio Lozano, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2

Probing the Link Between Vision and Language in Material Perception Using Psychophysics and Unsupervised Learning
Chenxi Liao, Masataka Sawayama, Bei Xiao
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

What comparing deep neural networks can teach us about human vision
Katja Seeliger, Martin N. Hebart
Nature Machine Intelligence (2024) Vol. 6, Iss. 2, pp. 122-123
Closed Access

Decoding region-level visual functions from invasive EEG monkey data
Xin-Ya Zhang, Hang Lin, Zeyu Deng, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

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