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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:

Language processing in brains and deep neural networks: computational convergence and its limits
Charlotte Caucheteux, Jean-Rémi King
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

The neural architecture of language: Integrative modeling converges on predictive processing
Martin Schrimpf, Idan Blank, Greta Tuckute, et al.
Proceedings of the National Academy of Sciences (2021) Vol. 118, Iss. 45
Open Access | Times Cited: 360
A hierarchy of linguistic predictions during natural language comprehension
Micha Heilbron, Kristijan Armeni, Jan‐Mathijs Schoffelen, et al.
Proceedings of the National Academy of Sciences (2022) Vol. 119, Iss. 32
Open Access | Times Cited: 223
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: 89
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
Thinking ahead: spontaneous prediction in context as a keystone of language in humans and machines
Ariel Goldstein, Zaid Zada, Eliav Buchnik, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 50
Deep Artificial Neural Networks Reveal a Distributed Cortical Network Encoding Propositional Sentence-Level Meaning
Andrew J. Anderson, Douwe Kiela, Jeffrey R. Binder, et al.
Journal of Neuroscience (2021) Vol. 41, Iss. 18, pp. 4100-4119
Open Access | Times Cited: 48
Context-based facilitation of semantic access follows both logarithmic and linear functions of stimulus probability
Jakub Szewczyk, Kara D. Federmeier
Journal of Memory and Language (2021) Vol. 123, pp. 104311-104311
Open Access | Times Cited: 44
GPT-2’s activations predict the degree of semantic comprehension in the human brain
Charlotte Caucheteux, Alexandre Gramfort, Jean-Rémi King
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 42
Dimensionality and Ramping: Signatures of Sentence Integration in the Dynamics of Brains and Deep Language Models
Théo Desbordes, Yair Lakretz, Valérie Chanoine, et al.
Journal of Neuroscience (2023) Vol. 43, Iss. 29, pp. 5350-5364
Open Access | Times Cited: 16
A hierarchy of linguistic predictions during natural language comprehension
Micha Heilbron, Kristijan Armeni, Jan‐Mathijs Schoffelen, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 39
Semantic surprise predicts the N400 brain potential
Alma Lindborg, Lea Musiolek, Dirk Ostwald, et al.
Neuroimage Reports (2023) Vol. 3, Iss. 1, pp. 100161-100161
Open Access | Times Cited: 12
Inductive biases, pretraining and fine-tuning jointly account for brain responses to speech
Juliette Millet, Jean-Rémi King
(2021)
Open Access | Times Cited: 24
A 10-hour within-participant magnetoencephalography narrative dataset to test models of language comprehension
Kristijan Armeni, Umut Güçlü, Marcel van Gerven, et al.
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 16
Top-down information shapes lexical processing when listening to continuous speech
Laura Gwilliams, Alec Marantz, David Poeppel, et al.
Language Cognition and Neuroscience (2023) Vol. 39, Iss. 8, pp. 1045-1058
Open Access | Times Cited: 10
Natural language processing models reveal neural dynamics of human conversation
Jing Cai, Alex E. Hadjinicolaou, Angelique C. Paulk, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 9
Disentangling Syntax and Semantics in the Brain with Deep Networks
Charlotte Caucheteux, Alexandre Gramfort, Jean-Rémi King
arXiv (Cornell University) (2021)
Open Access | Times Cited: 20
Model-based analysis of brain activity reveals the hierarchy of language in 305 subjects
Charlotte Caucheteux, Alexandre Gramfort, Jean-Rémi King
(2021), pp. 3635-3644
Open Access | Times Cited: 18
Surprisal From Language Models Can Predict ERPs in Processing Predicate-Argument Structures Only if Enriched by an Agent Preference Principle
Eva Huber, Sebastian Sauppe, Arrate Isasi-Isasmendi, et al.
Neurobiology of Language (2023) Vol. 5, Iss. 1, pp. 167-200
Open Access | Times Cited: 7
Combining computational controls with natural text reveals new aspects of meaning composition
Mariya Toneva, Tom M. Mitchell, Leila Wehbe
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 19
Does injecting linguistic structure into language models lead to better alignment with brain recordings?
Mostafa Abdou, Ana Valeria González, Mariya Toneva, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 17
Understanding models understanding language
Anders Søgaard
Synthese (2022) Vol. 200, Iss. 6
Open Access | Times Cited: 9
Top down information shapes lexical processing when listening to continuous speech
Laura Gwilliams, Alec Marantz, David Poeppel, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 8
The Cortical Representation of Language Timescales is Shared between Reading and Listening
Catherine Chen, Tom Dupré la Tour, Jack L. Gallant, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 4
Role of Punctuation in Semantic Mapping Between Brain and Transformer Models
Zenon Lamprou, Frank Pollick, Yashar Moshfeghi
Lecture notes in computer science (2023), pp. 458-472
Closed Access | Times Cited: 4
Robust multi-domain descriptive text classification leveraging conventional and hybrid deep learning models
Shovan Bhowmik, Sharmin Sultana, Ahmed Sajid, et al.
International Journal of Information Technology (2023) Vol. 16, Iss. 5, pp. 3219-3231
Closed Access | Times Cited: 4
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