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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 103 citing articles:

Deep Neural Networks: A New Framework for Modeling Biological Vision and Brain Information Processing
Nikolaus Kriegeskorte
Annual Review of Vision Science (2015) Vol. 1, Iss. 1, pp. 417-446
Open Access | Times Cited: 1019
What do we mean by prediction in language comprehension?
Gina R. Kuperberg, T. Florian Jaeger
Language Cognition and Neuroscience (2015) Vol. 31, Iss. 1, pp. 32-59
Open Access | Times Cited: 902
How Do Expectations Shape Perception?
Floris P. de Lange, Micha Heilbron, Peter Kok
Trends in Cognitive Sciences (2018) Vol. 22, Iss. 9, pp. 764-779
Open Access | Times Cited: 881
Words and the World
Gary Lupyan, Andy Clark
Current Directions in Psychological Science (2015) Vol. 24, Iss. 4, pp. 279-284
Open Access | Times Cited: 304
Parallel Distributed Processing at 25: Further Explorations in the Microstructure of Cognition
Timothy T. Rogers, James L. McClelland
Cognitive Science (2014) Vol. 38, Iss. 6, pp. 1024-1077
Closed Access | Times Cited: 225
A Tale of Two Positivities and the N400: Distinct Neural Signatures Are Evoked by Confirmed and Violated Predictions at Different Levels of Representation
Gina R. Kuperberg, Trevor Brothers, Edward W. Wlotko
Journal of Cognitive Neuroscience (2019) Vol. 32, Iss. 1, pp. 12-35
Open Access | Times Cited: 185
The Oxford Handbook of the Mental Lexicon

Oxford University Press eBooks (2022)
Closed Access | Times Cited: 70
Prediction, Bayesian inference and feedback in speech recognition
Dennis Norris, James M. McQueen, Anne Cutler
Language Cognition and Neuroscience (2015) Vol. 31, Iss. 1, pp. 4-18
Open Access | Times Cited: 168
Interactive Activation and Mutual Constraint Satisfaction in Perception and Cognition
James L. McClelland, Daniel Mirman, Donald J. Bolger, et al.
Cognitive Science (2014) Vol. 38, Iss. 6, pp. 1139-1189
Open Access | Times Cited: 112
Predictive coding as a model of cognition
Michael Spratling
Cognitive Processing (2016) Vol. 17, Iss. 3, pp. 279-305
Open Access | Times Cited: 92
Human and artificial cognition
George Siemens, Fernando Marmolejo‐Ramos, Florence Gabriel, et al.
Computers and Education Artificial Intelligence (2022) Vol. 3, pp. 100107-100107
Open Access | Times Cited: 54
The Emerging Science of Interacting Minds
Thalia Wheatley, Mark Thornton, Arjen Stolk, et al.
Perspectives on Psychological Science (2023) Vol. 19, Iss. 2, pp. 355-373
Open Access | Times Cited: 22
Cortical Measures of Phoneme-Level Speech Encoding Correlate with the Perceived Clarity of Natural Speech
Giovanni M. Di Liberto, Michael J. Crosse, Edmund C. Lalor
eNeuro (2018) Vol. 5, Iss. 2, pp. ENEURO.0084-18.2018
Open Access | Times Cited: 73
Interaction in Spoken Word Recognition Models: Feedback Helps
James S. Magnuson, Daniel Mirman, Sahil Luthra, et al.
Frontiers in Psychology (2018) Vol. 9
Open Access | Times Cited: 71
Numerosity discrimination in deep neural networks: Initial competence, developmental refinement and experience statistics
Alberto Testolin, Will Y. Zou, James L. McClelland
Developmental Science (2020) Vol. 23, Iss. 5
Closed Access | Times Cited: 56
Corn seed variety classification based on hyperspectral reflectance imaging and deep convolutional neural network
Jun Zhang, Limin Dai, Cheng Fang
Journal of Food Measurement & Characterization (2020) Vol. 15, Iss. 1, pp. 484-494
Closed Access | Times Cited: 56
Robust Lexically Mediated Compensation for Coarticulation: Christmash Time Is Here Again
Sahil Luthra, Giovanni Peraza‐Santiago, Keia'na Beeson, et al.
Cognitive Science (2021) Vol. 45, Iss. 4
Open Access | Times Cited: 55
Does signal reduction imply predictive coding in models of spoken word recognition?
Sahil Luthra, Monica Y. C. Li, Heejo You, et al.
Psychonomic Bulletin & Review (2021) Vol. 28, Iss. 4, pp. 1381-1389
Open Access | Times Cited: 47
Probabilistic Models and Generative Neural Networks: Towards an Unified Framework for Modeling Normal and Impaired Neurocognitive Functions
Alberto Testolin, Marco Zorzi
Frontiers in Computational Neuroscience (2016) Vol. 10
Open Access | Times Cited: 54
Humans predict liquid dynamics using probabilistic simulation.
Christopher Bates, Peter Battaglia, Ilker Yildirim, et al.
Cognitive Science (2015)
Closed Access | Times Cited: 53
Identification of Corn Seeds with Different Freezing Damage Degree Based on Hyperspectral Reflectance Imaging and Deep Learning Method
Jun Zhang, Limin Dai, Cheng Fang
Food Analytical Methods (2020) Vol. 14, Iss. 2, pp. 389-400
Closed Access | Times Cited: 47
Modeling human intuitions about liquid flow with particle-based simulation
Christopher Bates, Ilker Yildirim, Joshua B. Tenenbaum, et al.
PLoS Computational Biology (2019) Vol. 15, Iss. 7, pp. e1007210-e1007210
Open Access | Times Cited: 46
Deep neural networks: a new framework for modelling biological vision and brain information processing
Nikolaus Kriegeskorte
bioRxiv (Cold Spring Harbor Laboratory) (2015)
Open Access | Times Cited: 46
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
Connectionist Models of Cognition
Michael S. C. Thomas, James L. McClelland
Cambridge University Press eBooks (2023), pp. 29-79
Closed Access | Times Cited: 12
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