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:

Optimal Reinforcement Learning with Asymmetric Updating in Volatile Environments: a Simulation Study
Mojtaba Rostami Kandroodi, Abdol-Hossein Vahabie, Sara Ahmadi, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 6

Showing 6 citing articles:

The computational roots of positivity and confirmation biases in reinforcement learning
Stefano Palminteri, Maël Lebreton
Trends in Cognitive Sciences (2022) Vol. 26, Iss. 7, pp. 607-621
Open Access | Times Cited: 80

Adaptive Integration of Perceptual and Reward Information in an Uncertain World
Prashanti Ganesh, Radoslaw M. Cichy, Nicolas W. Schuck, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1

Risk preference as an outcome of evolutionarily adaptive learning mechanisms: An evolutionary simulation under diverse risky environments
Shogo Homma, Masanori Takezawa
PLoS ONE (2024) Vol. 19, Iss. 8, pp. e0307991-e0307991
Open Access | Times Cited: 1

Moderate confirmation bias enhances collective decision-making in reinforcement-learning agents
Clémence Bergerot, Wolfram Barfuß, Pawel Romanczuk
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2

Asymmetric learning and adaptability to changes in relational structure during transitive inference
Thomas F. Graham, Bernhard Spitzer
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access

Moderate confirmation bias enhances decision-making in groups of reinforcement-learning agents
Clémence Bergerot, Wolfram Barfuß, Pawel Romanczuk
PLoS Computational Biology (2024) Vol. 20, Iss. 9, pp. e1012404-e1012404
Open Access

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