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:

Choosing what we like vs liking what we choose: How choice-induced preference change might actually be instrumental to decision-making
Douglas G. Lee, Jean Daunizeau
PLoS ONE (2020) Vol. 15, Iss. 5, pp. e0231081-e0231081
Open Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

Why and When Beliefs Change
Tali Sharot, Max Rollwage, Cass R. Sunstein, et al.
Perspectives on Psychological Science (2022) Vol. 18, Iss. 1, pp. 142-151
Open Access | Times Cited: 52

Everything is connected: Inference and attractors in delusions
Rick A. Adams, Peter Vincent, David Benrimoh, et al.
Schizophrenia Research (2021) Vol. 245, pp. 5-22
Open Access | Times Cited: 54

Intrinsic reward: potential cognitive and neural mechanisms
Bastien Blain, Tali Sharot
Current Opinion in Behavioral Sciences (2021) Vol. 39, pp. 113-118
Open Access | Times Cited: 43

Evidence or Confidence: What Is Really Monitored during a Decision?
Douglas G. Lee, Jean Daunizeau, Giovanni Pezzulo
Psychonomic Bulletin & Review (2023) Vol. 30, Iss. 4, pp. 1360-1379
Open Access | Times Cited: 18

An Empirical Test of the Role of Value Certainty in Decision Making
Douglas G. Lee, Giorgio Coricelli
Frontiers in Psychology (2020) Vol. 11
Open Access | Times Cited: 24

Externally Provided Rewards Increase Internal Preference, but Not as Much as Preferred Ones Without Extrinsic Rewards
Jianhong Zhu, Kentaro Katahira, Makoto Hirakawa, et al.
Computational Brain & Behavior (2024)
Open Access | Times Cited: 2

Exergaming for people with major neurocognitive disorder: a qualitative study
Nathalie Swinnen, Mathieu Vandenbulcke, Eling D. de Bruin, et al.
Disability and Rehabilitation (2020) Vol. 44, Iss. 10, pp. 2044-2052
Closed Access | Times Cited: 18

Choosing increases the value of non-instrumental information
Matthew Jiwa, Patrick S. Cooper, Trevor T.‐J. Chong, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 16

The value of confidence: Confidence prediction errors drive value-based learning in the absence of external feedback
Lena Esther Ptasczynski, Isa Steinecker, Philipp Sterzer, et al.
PLoS Computational Biology (2022) Vol. 18, Iss. 10, pp. e1010580-e1010580
Open Access | Times Cited: 12

Value certainty and choice confidence are multidimensional constructs that guide decision-making
Douglas G. Lee, Todd A. Hare
Cognitive Affective & Behavioral Neuroscience (2023) Vol. 23, Iss. 3, pp. 503-521
Open Access | Times Cited: 5

Uncertainty Measures and Business Cycles: Evidence From the US
Haining Chen, Prince Asare Vitenu‐Sackey, Isaac Akpemah Bathuure
SAGE Open (2024) Vol. 14, Iss. 2
Open Access | Times Cited: 1

Value construction through sequential sampling explains serial dependencies in decision making
Ariel Zylberberg, Akram Bakkour, Daphna Shohamy, et al.
eLife (2024) Vol. 13
Open Access | Times Cited: 1

The Digitally Enabled Care Framework: Leveraging Technology to Enhance the Physician–Patient Relationship
Stacy Wood, Leah Rosengaus, Roderick Thompson, et al.
NEJM Catalyst (2024) Vol. 5, Iss. 10
Closed Access | Times Cited: 1

Value construction through sequential sampling explains serial dependencies in decision making
Ariel Zylberberg, Akram Bakkour, Daphna Shohamy, et al.
eLife (2024) Vol. 13
Open Access | Times Cited: 1

Trading Mental Effort for Confidence in the Metacognitive Control of Value-Based Decision-Making
Douglas G. Lee, Jean Daunizeau
bioRxiv (Cold Spring Harbor Laboratory) (2019)
Open Access | Times Cited: 8

Computational modeling of choice-induced preference change: A Reinforcement-Learning-based approach
Jianhong Zhu, Junya Hashimoto, Kentaro Katahira, et al.
PLoS ONE (2021) Vol. 16, Iss. 1, pp. e0244434-e0244434
Open Access | Times Cited: 7

Value Certainty in Drift-Diffusion Models of Preferential Choice
Douglas G. Lee, Marius Usher
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 6

Choice-Induced Preference Change under a Sequential Sampling Model Framework
Douglas G. Lee, Giovanni Pezzulo
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 3

Evidence Accumulates for Individual Attributes during Value-Based Decisions
Douglas G. Lee, Todd A. Hare
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 4

The value of confidence: Confidence prediction errors drive value-based learning in the absence of external feedback
Lena Esther Ptasczynski, Isa Steinecker, Philipp Sterzer, et al.
(2021)
Open Access | Times Cited: 4

Value construction through sequential sampling explains serial dependencies in decision making
Ariel Zylberberg, Akram Bakkour, Daphna Shohamy, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

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