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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:

No evidence for differences among language regions in their temporal receptive windows
Idan Blank, Evelina Fedorenko
NeuroImage (2020) Vol. 219, pp. 116925-116925
Open Access | Times Cited: 67

Showing 1-25 of 67 citing articles:

fMRI reveals language-specific predictive coding during naturalistic sentence comprehension
Cory Shain, Idan Blank, Marten van Schijndel, et al.
Neuropsychologia (2019) Vol. 138, pp. 107307-107307
Open Access | Times Cited: 185
Lack of selectivity for syntax relative to word meanings throughout the language network
Evelina Fedorenko, Idan Blank, Matthew Siegelman, et al.
Cognition (2020) Vol. 203, pp. 104348-104348
Open Access | Times Cited: 154
Probabilistic atlas for the language network based on precision fMRI data from >800 individuals
Benjamin Lipkin, Greta Tuckute, Josef Affourtit, et al.
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 93
The language network as a natural kind within the broader landscape of the human brain
Evelina Fedorenko, Anna A. Ivanova, Tamar I. Regev
Nature reviews. Neuroscience (2024) Vol. 25, Iss. 5, pp. 289-312
Closed Access | Times Cited: 71
Driving and suppressing the human language network using large language models
Greta Tuckute, Aalok Sathe, Shashank Srikant, et al.
Nature Human Behaviour (2024) Vol. 8, Iss. 3, pp. 544-561
Open Access | Times Cited: 34
Artificial Neural Network Language Models Predict Human Brain Responses to Language Even After a Developmentally Realistic Amount of Training
Eghbal A. Hosseini, Martin Schrimpf, Yian Zhang, et al.
Neurobiology of Language (2024) Vol. 5, Iss. 1, pp. 43-63
Open Access | Times Cited: 17
Comprehension of computer code relies primarily on domain-general executive brain regions
Anna A. Ivanova, Shashank Srikant, Yotaro Sueoka, et al.
eLife (2020) Vol. 9
Open Access | Times Cited: 83
The neural architecture of language: Integrative modeling converges on predictive processing
Martin Schrimpf, Idan Blank, Greta Tuckute, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 77
Incremental Language Comprehension Difficulty Predicts Activity in the Language Network but Not the Multiple Demand Network
Leila Wehbe, Idan Blank, Cory Shain, et al.
Cerebral Cortex (2021) Vol. 31, Iss. 9, pp. 4006-4023
Open Access | Times Cited: 60
Robust Effects of Working Memory Demand during Naturalistic Language Comprehension in Language-Selective Cortex
Cory Shain, Idan Blank, Evelina Fedorenko, et al.
Journal of Neuroscience (2022) Vol. 42, Iss. 39, pp. 7412-7430
Open Access | Times Cited: 51
Prediction during language comprehension: what is next?
Rachel Ryskin, Mante S. Nieuwland
Trends in Cognitive Sciences (2023) Vol. 27, Iss. 11, pp. 1032-1052
Open Access | Times Cited: 41
Computational Language Modeling and the Promise of In Silico Experimentation
Shailee Jain, Vy A. Vo, Leila Wehbe, et al.
Neurobiology of Language (2023) Vol. 5, Iss. 1, pp. 80-106
Open Access | Times Cited: 28
High-level language brain regions process sublexical regularities
Tamar I. Regev, Hee So Kim, Xuanyi Chen, et al.
Cerebral Cortex (2024) Vol. 34, Iss. 3
Open Access | Times Cited: 16
Distributed Sensitivity to Syntax and Semantics throughout the Language Network
Cory Shain, Hope Kean, Colton Casto, et al.
Journal of Cognitive Neuroscience (2024) Vol. 36, Iss. 7, pp. 1427-1471
Open Access | Times Cited: 14
Semantic encoding during language comprehension at single-cell resolution
Mohsen Jamali, Benjamin L. Grannan, Jing Cai, et al.
Nature (2024) Vol. 631, Iss. 8021, pp. 610-616
Open Access | Times Cited: 14
Language in Brains, Minds, and Machines
Greta Tuckute, Nancy Kanwisher, Evelina Fedorenko
Annual Review of Neuroscience (2024) Vol. 47, Iss. 1, pp. 277-301
Closed Access | Times Cited: 13
The Language Network Reliably “Tracks” Naturalistic Meaningful Nonverbal Stimuli
Yotaro Sueoka, Alexander Paunov, Alyx Tanner, et al.
Neurobiology of Language (2024) Vol. 5, Iss. 2, pp. 385-408
Open Access | Times Cited: 10
Linguistic processing of task-irrelevant speech at a cocktail party
Paz Har-shai Yahav, Elana Zion Golumbic
eLife (2021) Vol. 10
Open Access | Times Cited: 54
Naturalistic imaging: The use of ecologically valid conditions to study brain function
Emily S. Finn, Enrico Glerean, Uri Hasson, et al.
NeuroImage (2021) Vol. 247, pp. 118776-118776
Open Access | Times Cited: 42
Differential Tracking of Linguistic vs. Mental State Content in Naturalistic Stimuli by Language and Theory of Mind (ToM) Brain Networks
Alexander Paunov, Idan Blank, Olessia Jouravlev, et al.
Neurobiology of Language (2022) Vol. 3, Iss. 3, pp. 413-440
Open Access | Times Cited: 31
Lexical-Semantic Content, Not Syntactic Structure, Is the Main Contributor to ANN-Brain Similarity of fMRI Responses in the Language Network
Carina Kauf, Greta Tuckute, Roger Lévy, et al.
Neurobiology of Language (2023) Vol. 5, Iss. 1, pp. 7-42
Open Access | Times Cited: 17
Neural populations in the language network differ in the size of their temporal receptive windows
Tamar I. Regev, Colton Casto, Eghbal A. Hosseini, et al.
Nature Human Behaviour (2024) Vol. 8, Iss. 10, pp. 1924-1942
Closed Access | Times Cited: 8
Functional differentiation in the language network revealed by lesion-symptom mapping
William Matchin, Alexandra Basilakos, Dirk‐Bart den Ouden, et al.
NeuroImage (2021) Vol. 247, pp. 118778-118778
Open Access | Times Cited: 34
Driving and suppressing the human language network using large language models
Greta Tuckute, Aalok Sathe, Shashank Srikant, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 14
The Brain’s Topographical Organization Shapes Dynamic Interaction Patterns That Support Flexible Behavior Based on Rules and Long-Term Knowledge
Xiuyi Wang, Katya Krieger‐Redwood, Baihan Lyu, et al.
Journal of Neuroscience (2024) Vol. 44, Iss. 22, pp. e2223232024-e2223232024
Open Access | Times Cited: 5
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