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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:

An empirical evaluation of active inference in multi-armed bandits
Dimitrije Marković, Hrvoje Stojić, Sarah Schwöbel, et al.
Neural Networks (2021) Vol. 144, pp. 229-246
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

A step-by-step tutorial on active inference and its application to empirical data
Ryan Smith, Karl Friston, Christopher J. Whyte
Journal of Mathematical Psychology (2022) Vol. 107, pp. 102632-102632
Open Access | Times Cited: 160
The empirical status of predictive coding and active inference
Rowan Hodson, Marishka Mehta, Ryan Smith
Neuroscience & Biobehavioral Reviews (2023) Vol. 157, pp. 105473-105473
Closed Access | Times Cited: 29
A taxonomy of surprise definitions
Alireza Modirshanechi, Johanni Brea, Wulfram Gerstner
Journal of Mathematical Psychology (2022) Vol. 110, pp. 102712-102712
Open Access | Times Cited: 37
Transdiagnostic computations of uncertainty: towards a new lens on intolerance of uncertainty
Timothy R. Sandhu, Bowen Xiao, Rebecca Lawson
Neuroscience & Biobehavioral Reviews (2023) Vol. 148, pp. 105123-105123
Open Access | Times Cited: 22
Reward Maximization Through Discrete Active Inference
Lancelot Da Costa, Noor Sajid, Thomas Parr, et al.
Neural Computation (2023) Vol. 35, Iss. 5, pp. 807-852
Open Access | Times Cited: 22
A Step-by-Step Tutorial on Active Inference and its Application to Empirical Data
Ryan Smith, Karl Friston, Christopher J. Whyte
(2021)
Open Access | Times Cited: 37
Neural Dynamics under Active Inference: Plausibility and Efficiency of Information Processing
Lancelot Da Costa, Thomas Parr, Biswa Sengupta, et al.
Entropy (2021) Vol. 23, Iss. 4, pp. 454-454
Open Access | Times Cited: 35
Active inference models do not contradict folk psychology
Ryan Smith, Maxwell J. D. Ramstead, Alex Kiefer
Synthese (2022) Vol. 200, Iss. 2
Open Access | Times Cited: 28
How Active Inference Could Help Revolutionise Robotics
Lancelot Da Costa, Pablo Lanillos, Noor Sajid, et al.
Entropy (2022) Vol. 24, Iss. 3, pp. 361-361
Open Access | Times Cited: 26
Novelty is not surprise: Human exploratory and adaptive behavior in sequential decision-making
Xu He, Alireza Modirshanechi, Marco P. Lehmann, et al.
PLoS Computational Biology (2021) Vol. 17, Iss. 6, pp. e1009070-e1009070
Open Access | Times Cited: 31
On efficient computation in active inference
Aswin Paul, Noor Sajid, Lancelot Da Costa, et al.
Expert Systems with Applications (2024) Vol. 253, pp. 124315-124315
Open Access | Times Cited: 4
As One and Many: Relating Individual and Emergent Group-Level Generative Models in Active Inference
Peter Thestrup Waade, C. Olesen, Jonathan Ehrenreich Laursen, et al.
Entropy (2025) Vol. 27, Iss. 2, pp. 143-143
Open Access
Active Inference-Driven Multi-Armed Bandits: Superior Performance through Dynamic Correlation Adjustments
Xihong Lin
ITM Web of Conferences (2025) Vol. 73, pp. 01017-01017
Open Access
Fractal dimension analysis for improved decision-making in non-stationary multi-arm bandit problems: a machine learning approach
S. Nandhini, J. Arun Pandian
The European Physical Journal Special Topics (2025)
Closed Access
Active Inference for Autonomous Decision-Making with Contextual Multi-Armed Bandits
Shohei Wakayama, Nisar Ahmed
(2023)
Open Access | Times Cited: 7
Contextualizing predictive minds
Martin V. Butz, Maximilian Mittenbühler, Sarah Schwöbel, et al.
Neuroscience & Biobehavioral Reviews (2024), pp. 105948-105948
Open Access | Times Cited: 2
Searching for and evaluating outsourced chief investment officers
Daehyeon Park, Doojin Ryu
Managerial and Decision Economics (2023) Vol. 44, Iss. 7, pp. 3923-3931
Closed Access | Times Cited: 5
Realizing Active Inference in Variational Message Passing: The Outcome-Blind Certainty Seeker
Théophile Champion, Marek Grześ, Howard Bowman
Neural Computation (2021) Vol. 33, Iss. 10, pp. 2762-2826
Open Access | Times Cited: 11
Geometric methods for sampling, optimization, inference, and adaptive agents
Alessandro Barp, Lancelot Da Costa, Guilherme França, et al.
Handbook of statistics (2022), pp. 21-78
Open Access | Times Cited: 8
Approximate information for efficient exploration-exploitation strategies
Alex Barbier–Chebbah, Christian L. Vestergaard, Jean‐Baptiste Masson
Physical review. E (2024) Vol. 109, Iss. 5
Open Access | Times Cited: 1
Observation-Augmented Contextual Multi-Armed Bandits for Robotic Search and Exploration
Shohei Wakayama, Nisar Ahmed
IEEE Robotics and Automation Letters (2024) Vol. 9, Iss. 10, pp. 8531-8538
Closed Access | Times Cited: 1
Active inference and the two-step task
Sam Gijsen, Miro Grundei, Felix Blankenburg
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 5
Chance-Constrained Active Inference
Thijs van de Laar, İsmail Şenöz, Ayça Özçelikkale, et al.
Neural Computation (2021) Vol. 33, Iss. 10, pp. 2710-2735
Open Access | Times Cited: 7
Surprise: a unified theory and experimental predictions
Alireza Modirshanechi, Johanni Brea, Wulfram Gerstner
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 7
Neural Networks special issue on Artificial Intelligence and Brain Science
Kenji Doya, Karl Friston, Masashi Sugiyama, et al.
Neural Networks (2022) Vol. 155, pp. 328-329
Open Access | Times Cited: 4
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