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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.

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Showing 1-25 of 164 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: 363
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: 229
Neural language models as psycholinguistic subjects: Representations of syntactic state
Richard Futrell, Ethan Wilcox, Takashi Morita, et al.
(2019), pp. 32-42
Open Access | Times Cited: 170
Why Does Surprisal From Larger Transformer-Based Language Models Provide a Poorer Fit to Human Reading Times?
Byung-Doh Oh, William Schuler
Transactions of the Association for Computational Linguistics (2023) Vol. 11, pp. 336-350
Open Access | Times Cited: 52
Large-scale evidence for logarithmic effects of word predictability on reading time
Cory Shain, Clara Meister, Tiago Pimentel, et al.
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 10
Open Access | Times Cited: 26
A Systematic Assessment of Syntactic Generalization in Neural Language Models
Jennifer Hu, Jon Gauthier, Peng Qian, et al.
(2020)
Open Access | Times Cited: 130
Lossy‐Context Surprisal: An Information‐Theoretic Model of Memory Effects in Sentence Processing
Richard Futrell, Edward Gibson, Roger Lévy
Cognitive Science (2020) Vol. 44, Iss. 3
Open Access | Times Cited: 123
On the Predictive Power of Neural Language Models for Human Real-Time Comprehension Behavior
Ethan Wilcox, Jon Gauthier, Jennifer Hu, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 87
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
Human Sentence Processing: Recurrence or Attention?
Danny Merkx, Stefan L. Frank
(2021)
Open Access | Times Cited: 75
So Cloze Yet So Far: N400 Amplitude Is Better Predicted by Distributional Information Than Human Predictability Judgements
James A. Michaelov, Seana Coulson, Benjamin Bergen
IEEE Transactions on Cognitive and Developmental Systems (2022) Vol. 15, Iss. 3, pp. 1033-1042
Closed Access | Times Cited: 46
Using Computational Models to Test Syntactic Learnability
Ethan Wilcox, Richard Futrell, Roger Lévy
Linguistic Inquiry (2022) Vol. 55, Iss. 4, pp. 805-848
Closed Access | Times Cited: 46
Testing the Predictions of Surprisal Theory in 11 Languages
Ethan G. Wilcox, Tiago Pimentel, Clara Meister, et al.
Transactions of the Association for Computational Linguistics (2023) Vol. 11, pp. 1451-1470
Open Access | Times Cited: 29
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: 27
A-maze of Natural Stories: Comprehension and surprisal in the Maze task
Veronica Boyce, Roger Lévy
Glossa Psycholinguistics (2023) Vol. 2, Iss. 1
Open Access | Times Cited: 23
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
Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP
Kris Korrel, Dieuwke Hupkes, Verna Dankers, et al.
(2019)
Open Access | Times Cited: 67
Universals of word order reflect optimization of grammars for efficient communication
Michael Hahn, Dan Jurafsky, Richard Futrell
Proceedings of the National Academy of Sciences (2020) Vol. 117, Iss. 5, pp. 2347-2353
Open Access | Times Cited: 66
Evaluating information-theoretic measures of word prediction in naturalistic sentence reading
Christoph Aurnhammer, Stefan L. Frank
Neuropsychologia (2019) Vol. 134, pp. 107198-107198
Open Access | Times Cited: 63
Revisiting the Uniform Information Density Hypothesis
Clara Meister, Tiago Pimentel, Patrick Haller, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021)
Open Access | Times Cited: 47
Single‐Stage Prediction Models Do Not Explain the Magnitude of Syntactic Disambiguation Difficulty
Marten van Schijndel, Tal Linzen
Cognitive Science (2021) Vol. 45, Iss. 6
Open Access | Times Cited: 46
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: 46
Lower Perplexity is Not Always Human-Like
Tatsuki Kuribayashi, Yohei Oseki, Takumi Ito, et al.
(2021), pp. 5203-5217
Open Access | Times Cited: 42
Large-Scale Evidence for Logarithmic Effects of Word Predictability on Reading Time
Cory Shain, Clara Meister, Tiago Pimentel, et al.
(2022)
Open Access | Times Cited: 35
Mental simulation during literary reading: Individual differences revealed with eye-tracking
Marloes Mak, Roel M. Willems
Language Cognition and Neuroscience (2018) Vol. 34, Iss. 4, pp. 511-535
Open Access | Times Cited: 51
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