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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:

Revealing Neurocomputational Mechanisms of Reinforcement Learning and Decision-Making With the hBayesDM Package
Woo‐Young Ahn, Nathaniel Haines, Lei Zhang
Computational Psychiatry (2017) Vol. 1, pp. 24-24
Open Access | Times Cited: 322

Showing 1-25 of 322 citing articles:

Altered learning under uncertainty in unmedicated mood and anxiety disorders
Jessica Aylward, Vincent Valton, Woo‐Young Ahn, et al.
Nature Human Behaviour (2019) Vol. 3, Iss. 10, pp. 1116-1123
Open Access | Times Cited: 156
TAPAS: An Open-Source Software Package for Translational Neuromodeling and Computational Psychiatry
Stefan Frässle, Eduardo A. Aponte, Saskia Bollmann, et al.
Frontiers in Psychiatry (2021) Vol. 12
Open Access | Times Cited: 118
Theoretically Informed Generative Models Can Advance the Psychological and Brain Sciences: Lessons from the Reliability Paradox
Nathaniel Haines, Peter D. Kvam, Louis Horowitz Irving, et al.
(2020)
Open Access | Times Cited: 122
Using reinforcement learning models in social neuroscience: frameworks, pitfalls and suggestions of best practices
Lei Zhang, Lukas Lengersdorff, Nace Mikuš, et al.
Social Cognitive and Affective Neuroscience (2020) Vol. 15, Iss. 6, pp. 695-707
Open Access | Times Cited: 117
A brain network supporting social influences in human decision-making
Lei Zhang, Jan Gläscher
Science Advances (2020) Vol. 6, Iss. 34
Open Access | Times Cited: 115
Quantum reinforcement learning during human decision-making
Jian Li, Daoyi Dong, Zhengde Wei, et al.
Nature Human Behaviour (2020) Vol. 4, Iss. 3, pp. 294-307
Open Access | Times Cited: 94
Neural computations of threat in the aftermath of combat trauma
Philipp Homan, Ifat Levy, Eric Feltham, et al.
Nature Neuroscience (2019) Vol. 22, Iss. 3, pp. 470-476
Open Access | Times Cited: 90
Reinforcement Learning Disruptions in Individuals With Depression and Sensitivity to Symptom Change Following Cognitive Behavioral Therapy
Vanessa M. Brown, Lusha Zhu, Alec Solway, et al.
JAMA Psychiatry (2021) Vol. 78, Iss. 10, pp. 1113-1113
Open Access | Times Cited: 83
Modeling flexible behavior in childhood to adulthood shows age-dependent learning mechanisms and less optimal learning in autism in each age group
Daisy Crawley, Lei Zhang, Emily J. H. Jones, et al.
PLoS Biology (2020) Vol. 18, Iss. 10, pp. e3000908-e3000908
Open Access | Times Cited: 70
Likelihood approximation networks (LANs) for fast inference of simulation models in cognitive neuroscience
Alexander Fengler, Lakshmi Narasimhan Govindarajan, Tony Chen, et al.
eLife (2021) Vol. 10
Open Access | Times Cited: 60
Reliability of Decision-Making and Reinforcement Learning Computational Parameters
Anahit Mkrtchian, Vincent Valton, Jonathan P. Roiser
Computational Psychiatry (2023) Vol. 7, Iss. 1, pp. 30-30
Open Access | Times Cited: 28
Troubleshooting Bayesian cognitive models.
Beth Baribault, Anne Collins
Psychological Methods (2023)
Open Access | Times Cited: 22
Maturation of striatal dopamine supports the development of habitual behavior through adolescence
Daniel Petrie, Ashley C. Parr, Valerie J. Sydnor, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access | Times Cited: 1
Frontopolar Cortex Interacts With Dorsolateral Prefrontal Cortex to Causally Guide Metacognition
Georgia Eleni Kapetaniou, Marius Moisa, Christian C. Ruff, et al.
Human Brain Mapping (2025) Vol. 46, Iss. 2
Open Access | Times Cited: 1
The statistical structures of reinforcement learning with asymmetric value updates
Kentaro Katahira
Journal of Mathematical Psychology (2018) Vol. 87, pp. 31-45
Open Access | Times Cited: 75
High-definition tDCS alters impulsivity in a baseline-dependent manner
Bo Shen, Yunlu Yin, Jiashu Wang, et al.
NeuroImage (2016) Vol. 143, pp. 343-352
Open Access | Times Cited: 70
The Outcome‐Representation Learning Model: A Novel Reinforcement Learning Model of the Iowa Gambling Task
Nathaniel Haines, Jasmin Vassileva, Woo‐Young Ahn
Cognitive Science (2018) Vol. 42, Iss. 8, pp. 2534-2561
Open Access | Times Cited: 68
Simultaneous Hierarchical Bayesian Parameter Estimation for Reinforcement Learning and Drift Diffusion Models: a Tutorial and Links to Neural Data
Mads L. Pedersen, Michael J. Frank
Computational Brain & Behavior (2020) Vol. 3, Iss. 4, pp. 458-471
Open Access | Times Cited: 51
Quantifying aberrant approach-avoidance conflict in psychopathology: A review of computational approaches
Allison M. Letkiewicz, Haley C. Kottler, Stewart A. Shankman, et al.
Neuroscience & Biobehavioral Reviews (2023) Vol. 147, pp. 105103-105103
Open Access | Times Cited: 19
A core component of psychological therapy causes adaptive changes in computational learning mechanisms
Quentin Dercon, Sara Z. Mehrhof, Timothy R. Sandhu, et al.
Psychological Medicine (2023) Vol. 54, Iss. 2, pp. 327-337
Open Access | Times Cited: 16
Motor Cortex Excitability Reflects the Subjective Value of Reward and Mediates Its Effects on Incentive-Motivated Performance
Joseph K. Galaro, Pablo Celnik, Vikram S. Chib
Journal of Neuroscience (2018) Vol. 39, Iss. 7, pp. 1236-1248
Open Access | Times Cited: 57
Frontostriatal Dysfunction During Decision Making in Attention-Deficit/Hyperactivity Disorder and Obsessive-Compulsive Disorder
Luke Norman, Christina Carlisi, Anastasia Christakou, et al.
Biological Psychiatry Cognitive Neuroscience and Neuroimaging (2018) Vol. 3, Iss. 8, pp. 694-703
Open Access | Times Cited: 51
What cognitive processes are “sluggish” in sluggish cognitive tempo?
Michael Kofler, Lauren N. Irwin, Dustin E. Sarver, et al.
Journal of Consulting and Clinical Psychology (2019) Vol. 87, Iss. 11, pp. 1030-1042
Open Access | Times Cited: 51
Interfacing neural constructs with the Hierarchical Taxonomy of Psychopathology: ‘Why' and ‘how'
Emily R. Perkins, Robert D. Latzman, Christopher J. Patrick
Personality and Mental Health (2019) Vol. 14, Iss. 1, pp. 106-122
Closed Access | Times Cited: 45
Decomposing loss aversion from gaze allocation and pupil dilation
Sheng Feng, Arjun Ramakrishnan, Darsol Seok, et al.
Proceedings of the National Academy of Sciences (2020) Vol. 117, Iss. 21, pp. 11356-11363
Open Access | Times Cited: 45
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