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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:

Human online adaptation to changes in prior probability
Elyse H. Norton, Luigi Acerbi, Wei Ji, et al.
PLoS Computational Biology (2019) Vol. 15, Iss. 7, pp. e1006681-e1006681
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Standardized and reproducible measurement of decision-making in mice
Valeria Aguillon-Rodriguez, Dora E. Angelaki, H Bayer, et al.
eLife (2021) Vol. 10
Open Access | Times Cited: 156
Bayesian Decision Models: A Primer
Wei Ji
Neuron (2019) Vol. 104, Iss. 1, pp. 164-175
Open Access | Times Cited: 84
Brain-wide representations of prior information in mouse decision-making
Charles Findling, Félix Hubert, Luigi Acerbi, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 38
Studying the neural representations of uncertainty
Edgar Y. Walker, Stephan Pohl, Rachel N. Denison, et al.
Nature Neuroscience (2023) Vol. 26, Iss. 11, pp. 1857-1867
Closed Access | Times Cited: 29
Performance monitoring for sensorimotor confidence: A visuomotor tracking study
Shannon M. Locke, Pascal Mamassian, Michael S. Landy
Cognition (2020) Vol. 205, pp. 104396-104396
Open Access | Times Cited: 37
How relevant is the prior? Bayesian causal inference for dynamic perception in volatile environments
David Meijer, Roberto Barumerli, Robert Baumgartner
(2025)
Open Access
How relevant is the prior? Bayesian causal inference for dynamic perception in volatile environments
David Meijer, Roberto Barumerli, Robert Baumgartner
(2025)
Open Access
Using the past to estimate sensory uncertainty
Ulrik Beierholm, Tim Rohe, Ambra Ferrari, et al.
eLife (2020) Vol. 9
Open Access | Times Cited: 31
Standardized and reproducible measurement of decision-making in mice
Valeria Aguillon-Rodriguez, Dora E. Angelaki, H Bayer, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 31
Reverse-engineering Recurrent Neural Network solutions to a hierarchical inference task for mice
Rylan Schaeffer, Mikail Khona, Leenoy Meshulam, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 30
A common computational and neural anomaly across mouse models of autism
Jean‐Paul Noel, Edoardo Balzani, Luigi Acerbi, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3
Central tendency biases must be accounted for to consistently capture Bayesian cue combination in continuous response data
Stacey Aston, James Negen, Marko Nardini, et al.
Behavior Research Methods (2021) Vol. 54, Iss. 1, pp. 508-521
Open Access | Times Cited: 20
Bayesian decision theory and navigation
Timothy P. McNamara, Xiaoli Chen
Psychonomic Bulletin & Review (2021) Vol. 29, Iss. 3, pp. 721-752
Open Access | Times Cited: 20
Traveling waves shape neural population dynamics enabling predictions and internal model updating
Sounak Mohanta, Duncan Cleveland, Mohsen Afrasiabi, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Long-term memory guides resource allocation in working memory
Allison L. Bruning, Jarrod A. Lewis‐Peacock
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 17
Humans adapt their anticipatory eye movements to the volatility of visual motion properties
Chloé Pasturel, Anna Montagnini, Laurent Perrinet
PLoS Computational Biology (2020) Vol. 16, Iss. 4, pp. e1007438-e1007438
Open Access | Times Cited: 16
Further perceptions of probability: In defence of associative models.
Mattias Forsgren, Peter Juslin, Ronald van den Berg
Psychological Review (2023) Vol. 130, Iss. 5, pp. 1383-1400
Open Access | Times Cited: 6
Towards a cross-level understanding of Bayesian inference in the brain
Chin‐Hsuan Lin, Marta I. Garrido
Neuroscience & Biobehavioral Reviews (2022) Vol. 137, pp. 104649-104649
Closed Access | Times Cited: 9
Environmental dynamics shape perceptual decision bias
Julie Charlton, Wiktor Młynarski, Yoon Bai, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 6, pp. e1011104-e1011104
Open Access | Times Cited: 5
The role of sensory uncertainty in simple contour integration
Yanli Zhou, Luigi Acerbi, Wei Ji
PLoS Computational Biology (2020) Vol. 16, Iss. 11, pp. e1006308-e1006308
Open Access | Times Cited: 14
Bayesian transfer in a complex spatial localization task
Reneta Kiryakova, Stacey Aston, Ulrik Beierholm, et al.
Journal of Vision (2020) Vol. 20, Iss. 6, pp. 17-17
Open Access | Times Cited: 13
Behavioral Motor Performance
Raz Leib, Ian S. Howard, Matthew Millard, et al.
Comprehensive physiology (2023), pp. 5179-5224
Closed Access | Times Cited: 4
How relevant is the prior? Bayesian causal inference for dynamic perception in volatile environments
David Meijer, Roberto Barumerli, Robert Baumgartner
(2024)
Open Access | Times Cited: 1
Sustained EEG responses to rapidly unfolding stochastic sounds reflect Bayesian inferred reliability tracking
Sijia Zhao, Benjamin Skerritt-Davis, Mounya Elhilali, et al.
Progress in Neurobiology (2024), pp. 102696-102696
Open Access | Times Cited: 1
Probabilistic integration of preceding responses explains response bias in perceptual decision making
Daniel Schlunegger, Fred W. Mast
iScience (2023) Vol. 26, Iss. 7, pp. 107123-107123
Open Access | Times Cited: 3
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