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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:

Doing more with less: meta-reasoning and meta-learning in humans and machines
Thomas L. Griffiths, Frederick Callaway, Michael B. Chang, et al.
Current Opinion in Behavioral Sciences (2019) Vol. 29, pp. 24-30
Closed Access | Times Cited: 112

Showing 1-25 of 112 citing articles:

Meta-learning in natural and artificial intelligence
Jane X. Wang
Current Opinion in Behavioral Sciences (2021) Vol. 38, pp. 90-95
Open Access | Times Cited: 117
Towards Continual Reinforcement Learning: A Review and Perspectives
Khimya Khetarpal, Matthew Riemer, Irina Rish, et al.
Journal of Artificial Intelligence Research (2022) Vol. 75, pp. 1401-1476
Open Access | Times Cited: 113
Rational use of cognitive resources in human planning
Frederick Callaway, Bas van Opheusden, Sayan Gul, et al.
Nature Human Behaviour (2022) Vol. 6, Iss. 8, pp. 1112-1125
Closed Access | Times Cited: 75
Beyond collective intelligence: Collective adaptation
Mirta Galešić, Daniel Barkoczi, Andrew M. Berdahl, et al.
Journal of The Royal Society Interface (2023) Vol. 20, Iss. 200
Open Access | Times Cited: 50
Optimizing Urban Critical Green Space Development Using Machine Learning
Mohammad Ganjirad, M. R. Delavar, Hossein Bagheri, et al.
Sustainable Cities and Society (2025), pp. 106158-106158
Closed Access | Times Cited: 1
Computational evidence for hierarchically structured reinforcement learning in humans
Maria K. Eckstein, Anne Collins
Proceedings of the National Academy of Sciences (2020) Vol. 117, Iss. 47, pp. 29381-29389
Open Access | Times Cited: 66
Meta-control: From psychology to computational neuroscience
Ben Eppinger, Thomas Goschke, Sebastian Musslick
Cognitive Affective & Behavioral Neuroscience (2021) Vol. 21, Iss. 3, pp. 447-452
Open Access | Times Cited: 48
Filling the gaps: Cognitive control as a critical lens for understanding mechanisms of value-based decision-making
Romy Frömer, Amitai Shenhav
Neuroscience & Biobehavioral Reviews (2021) Vol. 134, pp. 104483-104483
Open Access | Times Cited: 42
Metacontrol of decision-making strategies in human aging
Florian Bolenz, Wouter Kool, Andrea Reiter, et al.
eLife (2019) Vol. 8
Open Access | Times Cited: 43
Foundations of Erobotics
Simon Dubé, Dave Anctil
International Journal of Social Robotics (2020) Vol. 13, Iss. 6, pp. 1205-1233
Open Access | Times Cited: 40
Modeling, Replicating, and Predicting Human Behavior: A Survey
Andrew Fuchs, Andrea Passarella, Marco Conti
ACM Transactions on Autonomous and Adaptive Systems (2023) Vol. 18, Iss. 2, pp. 1-47
Open Access | Times Cited: 13
Understanding the development of reward learning through the lens of meta-learning
Kate Nussenbaum, Catherine A. Hartley
Nature Reviews Psychology (2024) Vol. 3, Iss. 6, pp. 424-438
Closed Access | Times Cited: 5
Decoding EEG Brain Activity for Multi-Modal Natural Language Processing
Nora Hollenstein, Cédric Renggli, Benjamin Glaus, et al.
Frontiers in Human Neuroscience (2021) Vol. 15
Open Access | Times Cited: 29
Human value learning and representation reflect rational adaptation to task demands
Keno Juechems, Tugba Altun, Rita Hira, et al.
Nature Human Behaviour (2022) Vol. 6, Iss. 9, pp. 1268-1279
Open Access | Times Cited: 19
Statistical Learning in Vision
József Fiser, Gábor Lengyel
Annual Review of Vision Science (2022) Vol. 8, Iss. 1, pp. 265-290
Open Access | Times Cited: 19
Statistical Machine-Learning Methods to Model Brain Plasticity
Pablo Robles-Granda, Aron K. Barbey, Oluwasanmi Koyejo
Oxford University Press eBooks (2025)
Closed Access
Fragmentation and logical omniscience
Adam Elga, Agustín Rayo
Noûs (2021) Vol. 56, Iss. 3, pp. 716-741
Open Access | Times Cited: 24
Recent Advances at the Interface of Neuroscience and Artificial Neural Networks
Yarden Cohen, Tatiana A. Engel, Christopher Langdon, et al.
Journal of Neuroscience (2022) Vol. 42, Iss. 45, pp. 8514-8523
Open Access | Times Cited: 18
A Comprehensive Review and a Taxonomy of Edge Machine Learning: Requirements, Paradigms, and Techniques
Wenbin Li, Hakim Hacid, Ebtesam Almazrouei, et al.
AI (2023) Vol. 4, Iss. 3, pp. 729-786
Open Access | Times Cited: 10
Automatically Composing Representation Transformations as a Means for Generalization
Michael B. Chang, Abhishek Gupta, Sergey Levine, et al.
arXiv (Cornell University) (2018)
Open Access | Times Cited: 25
Learning From Major Accidents: A Meta-Learning Perspective
Nicola Tamascelli, Nicola Paltrinieri, Valerio Cozzani
Safety Science (2022) Vol. 158, pp. 105984-105984
Open Access | Times Cited: 13
Why we need biased AI: How including cognitive biases can enhance AI systems
Thilo Hagendorff, Sarah Fabi
Journal of Experimental & Theoretical Artificial Intelligence (2023) Vol. 36, Iss. 8, pp. 1885-1898
Open Access | Times Cited: 7
An integrative framework of conflict and control
Daniela Becker, Erik Bijleveld, Senne Braem, et al.
Trends in Cognitive Sciences (2024) Vol. 28, Iss. 8, pp. 757-768
Closed Access | Times Cited: 2
Rational use of cognitive resources in human planning
Frederick Callaway, Bas van Opheusden, Sayan Gul, et al.
(2021)
Closed Access | Times Cited: 17
Boosting Human Decision-making with AI-Generated Decision Aids
Frederic Becker, Julian Skirzyński, Bas van Opheusden, et al.
Computational Brain & Behavior (2022) Vol. 5, Iss. 4, pp. 467-490
Open Access | Times Cited: 12
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