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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:

What Artificial Neural Networks Can Tell Us about Human Language Acquisition
Alex Warstadt, Samuel R. Bowman
CRC Press eBooks (2022), pp. 17-60
Open Access | Times Cited: 69

Showing 1-25 of 69 citing articles:

Do Large Language Models Know What Humans Know?
Sean Trott, Cameron R. Jones, Tyler H. Chang, et al.
Cognitive Science (2023) Vol. 47, Iss. 7
Open Access | Times Cited: 52
Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora
Alex Warstadt, Aaron Mueller, Leshem Choshen, et al.
(2023)
Open Access | Times Cited: 45
Grounded language acquisition through the eyes and ears of a single child
Wai Keen Vong, Wentao Wang, A. Emin Orhan, et al.
Science (2024) Vol. 383, Iss. 6682, pp. 504-511
Closed Access | Times Cited: 41
From Deep Learning to Rational Machines
Cameron Buckner
Oxford University Press eBooks (2023)
Closed Access | Times Cited: 19
Prompting is not a substitute for probability measurements in large language models
Jennifer Hu, Roger Lévy
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 17
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: 16
On the Unexpected Abilities of Large Language Models
Stefano Nolfi
Adaptive Behavior (2024) Vol. 32, Iss. 6, pp. 493-502
Open Access | Times Cited: 6
Acquiring constraints on filler-gap dependencies from structural collocations: Assessing a computational learning model of island-insensitivity in Norwegian
Anastasia Kobzeva, Dave Kush
Language Acquisition (2025), pp. 1-44
Open Access
A Discerning Several Thousand Judgments: GPT-3 Rates the Article + Adjective + Numeral + Noun Construction
Kyle Mahowald
(2023)
Open Access | Times Cited: 12
Language acquisition: do children and language models follow similar learning stages?
Linnea Evanson, Yair Lakretz, Jean Rémi King
Findings of the Association for Computational Linguistics: ACL 2022 (2023), pp. 12205-12218
Open Access | Times Cited: 11
Collaborative Growth: When Large Language Models Meet Sociolinguistics
Dong Nguyen
Language and Linguistics Compass (2025) Vol. 19, Iss. 2
Open Access
How poor is the stimulus? Evaluating hierarchical generalization in neural networks trained on child-directed speech
Aditya Yedetore, Tal Linzen, Robert Frank, et al.
(2023), pp. 9370-9393
Open Access | Times Cited: 10
BabySLM: language-acquisition-friendly benchmark of self-supervised spoken language models
Marvin Lavechin, Yaya Sy, Hadrien Titeux, et al.
Interspeech 2022 (2023)
Open Access | Times Cited: 8
Large Language Models: The Need for Nuance in Current Debates and a Pragmatic Perspective on Understanding
Bram van Dijk, Tom Kouwenhoven, Marco Spruit, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 8
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.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 7
Finding Structure in One Child's Linguistic Experience
Wentao Wang, Wai Keen Vong, Najoung Kim, et al.
Cognitive Science (2023) Vol. 47, Iss. 6
Open Access | Times Cited: 7
Symbol ungrounding: what the successes (and failures) of large language models reveal about human cognition
Guy Dove
Philosophical Transactions of the Royal Society B Biological Sciences (2024) Vol. 379, Iss. 1911
Closed Access | Times Cited: 2
Characterizing English Preposing in PP constructions
Christopher Potts
Journal of Linguistics (2024), pp. 1-39
Open Access | Times Cited: 2
Realistic and broad-scope learning simulations: first results and challenges
Maureen de Seyssel, Marvin Lavechin, Emmanuel Dupoux
Journal of Child Language (2023) Vol. 50, Iss. 6, pp. 1294-1317
Open Access | Times Cited: 4
Does word knowledge account for the effect of world knowledge on pronoun interpretation?
Cameron R. Jones, Benjamin Bergen
Language and Cognition (2024), pp. 1-32
Open Access | Times Cited: 1
The Roles of Neural Networks in Language Acquisition
Eva Portelance, Masoud Jasbi
Language and Linguistics Compass (2024) Vol. 18, Iss. 6
Open Access | Times Cited: 1
Characterizing Learning Curves During Language Model Pre-Training: Learning, Forgetting, and Stability
Tyler A. Chang, Zhuowen Tu, Benjamin Bergen
Transactions of the Association for Computational Linguistics (2024) Vol. 12, pp. 1346-1362
Open Access | Times Cited: 1
Filtered Corpus Training (FiCT) Shows that Language Models Can Generalize from Indirect Evidence
Abhinav Patil, Jaap Jumelet, Yu Ying Chiu, et al.
Transactions of the Association for Computational Linguistics (2024) Vol. 12, pp. 1597-1615
Open Access | Times Cited: 1
Semantics and Deep Learning
Lasha Abzianidze, Lisa Bylinina, Denis Paperno
(2024)
Closed Access | Times Cited: 1
WhisBERT: Multimodal Text-Audio Language Modeling on 100M Words
Lukas Wolf, Klemen Kotar, Greta Tuckute, et al.
(2023), pp. 225-230
Open Access | Times Cited: 3
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