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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:

Reinforcement Learning and Episodic Memory in Humans and Animals: An Integrative Framework
Samuel J. Gershman, Nathaniel D. Daw
Annual Review of Psychology (2016) Vol. 68, Iss. 1, pp. 101-128
Open Access | Times Cited: 435

Showing 1-25 of 435 citing articles:

Neuroscience-Inspired Artificial Intelligence
Demis Hassabis, Dharshan Kumaran, Christopher Summerfield, et al.
Neuron (2017) Vol. 95, Iss. 2, pp. 245-258
Open Access | Times Cited: 1328
Reinforcement Learning, Fast and Slow
Matthew Botvinick, Sam Ritter, Jane X. Wang, et al.
Trends in Cognitive Sciences (2019) Vol. 23, Iss. 5, pp. 408-422
Open Access | Times Cited: 604
Prefrontal cortex as a meta-reinforcement learning system
Jane X. Wang, Zeb Kurth‐Nelson, Dharshan Kumaran, et al.
Nature Neuroscience (2018) Vol. 21, Iss. 6, pp. 860-868
Open Access | Times Cited: 512
Cognitive computational neuroscience
Nikolaus Kriegeskorte, Pamela K. Douglas
Nature Neuroscience (2018) Vol. 21, Iss. 9, pp. 1148-1160
Open Access | Times Cited: 468
The successor representation in human reinforcement learning
Ida Momennejad, Evan M. Russek, Jin Hyun Cheong, et al.
Nature Human Behaviour (2017) Vol. 1, Iss. 9, pp. 680-692
Open Access | Times Cited: 360
Surviving threats: neural circuit and computational implications of a new taxonomy of defensive behaviour
Joseph E. LeDoux, Nathaniel D. Daw
Nature reviews. Neuroscience (2018) Vol. 19, Iss. 5, pp. 269-282
Closed Access | Times Cited: 348
Model-based Reinforcement Learning: A Survey
Thomas M. Moerland, Joost Broekens, Aske Plaat, et al.
Foundations and Trends® in Machine Learning (2023) Vol. 16, Iss. 1, pp. 1-118
Open Access | Times Cited: 307
The Persistence and Transience of Memory
Blake A. Richards, Paul W. Frankland
Neuron (2017) Vol. 94, Iss. 6, pp. 1071-1084
Open Access | Times Cited: 282
Reinforcement learning in artificial and biological systems
Emre Neftci, Bruno B. Averbeck
Nature Machine Intelligence (2019) Vol. 1, Iss. 3, pp. 133-143
Closed Access | Times Cited: 250
Reminders of past choices bias decisions for reward in humans
Aaron M. Bornstein, Mel Win Khaw, Daphna Shohamy, et al.
Nature Communications (2017) Vol. 8, Iss. 1
Open Access | Times Cited: 230
A free energy principle for a particular physics
Karl Friston
arXiv (Cornell University) (2019)
Open Access | Times Cited: 227
Generalization guides human exploration in vast decision spaces
Charley M. Wu, Eric Schulz, Maarten Speekenbrink, et al.
Nature Human Behaviour (2018) Vol. 2, Iss. 12, pp. 915-924
Open Access | Times Cited: 209
Deep Reinforcement Learning and Its Neuroscientific Implications
Matthew Botvinick, Jane X. Wang, Will Dabney, et al.
Neuron (2020) Vol. 107, Iss. 4, pp. 603-616
Open Access | Times Cited: 203
Believing in dopamine
Samuel J. Gershman, Naoshige Uchida
Nature reviews. Neuroscience (2019) Vol. 20, Iss. 11, pp. 703-714
Open Access | Times Cited: 202
Reinforcement learning across development: What insights can we draw from a decade of research?
Kate Nussenbaum, Catherine A. Hartley
Developmental Cognitive Neuroscience (2019) Vol. 40, pp. 100733-100733
Open Access | Times Cited: 194
Planning and navigation as active inference
Raphael Kaplan, Karl Friston
Biological Cybernetics (2018) Vol. 112, Iss. 4, pp. 323-343
Open Access | Times Cited: 189
A Shared Vision for Machine Learning in Neuroscience
Mai-Anh Vu, Tülay Adalı, Demba Ba, et al.
Journal of Neuroscience (2018) Vol. 38, Iss. 7, pp. 1601-1607
Open Access | Times Cited: 180
The Successor Representation: Its Computational Logic and Neural Substrates
Samuel J. Gershman
Journal of Neuroscience (2018) Vol. 38, Iss. 33, pp. 7193-7200
Open Access | Times Cited: 166
Active Inference: Demystified and Compared
Noor Sajid, Philip Ball, Thomas Parr, et al.
Neural Computation (2021) Vol. 33, Iss. 3, pp. 674-712
Open Access | Times Cited: 149
Principles of cognitive control over task focus and task switching
Tobias Egner
Nature Reviews Psychology (2023) Vol. 2, Iss. 11, pp. 702-714
Open Access | Times Cited: 44
Goal-directed learning in adolescence: neurocognitive development and contextual influences
Linda Wilbrecht, Juliet Y. Davidow
Nature reviews. Neuroscience (2024) Vol. 25, Iss. 3, pp. 176-194
Closed Access | Times Cited: 16
Memristor-based circuit design of episodic memory neural network and its application in hurricane category prediction
Qiuzhen Wan, Jiong Liu, Tieqiao Liu, et al.
Neural Networks (2024) Vol. 174, pp. 106268-106268
Closed Access | Times Cited: 16
Language writ large: LLMs, ChatGPT, meaning, and understanding
Stevan Harnad
Frontiers in Artificial Intelligence (2025) Vol. 7
Open Access | Times Cited: 2
Coarse-graining as a downward causation mechanism
Jessica C. Flack
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2017) Vol. 375, Iss. 2109, pp. 20160338-20160338
Open Access | Times Cited: 156
Making better decisions in groups
Dan Bang, Chris Frith
Royal Society Open Science (2017) Vol. 4, Iss. 8, pp. 170193-170193
Open Access | Times Cited: 151
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