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:

Reinforcement learning establishes a minimal metacognitive process to monitor and control motor learning performance
Taisei Sugiyama, Nicolas Schweighofer, Jun Izawa
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 15

Showing 15 citing articles:

Motor synergy and energy efficiency emerge in whole-body locomotion learning
Guanda Li, Mitsuhiro Hayashibe
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Exploring motor skill acquisition in bimanual coordination: insights from navigating a novel maze task
Miguel Cienfuegos, Jonathan Maycock, Abdeldjallil Naceri, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2

Theoretical limits on the speed of learning inverse models explain the rate of adaptation in arm reaching tasks
Victor R. Barradas, Yasuharu Koike, Nicolas Schweighofer
Neural Networks (2023) Vol. 170, pp. 376-389
Open Access | Times Cited: 5

Reinforcement learning and meta-decision-making
Pieter Verbeke, Tom Verguts
Current Opinion in Behavioral Sciences (2024) Vol. 57, pp. 101374-101374
Open Access | Times Cited: 1

Exploring Motor Skill Acquisition in Bimanual Coordination: Insights from Navigating a Novel Maze Task
Miguel Cienfuegos, Jonathan Maycock, Abdeldjallil Naceri, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1

Reward actively engages both implicit and explicit components in dual force field adaptation
Marion Forano, David W. Franklin
Journal of Neurophysiology (2024) Vol. 132, Iss. 1, pp. 1-22
Open Access | Times Cited: 1

Automated design and optimization of distributed filter circuits using reinforcement learning
Peng Gao, Tao Yu, Fei Wang, et al.
Journal of Computational Design and Engineering (2024) Vol. 11, Iss. 5, pp. 60-76
Open Access | Times Cited: 1

Learning-to-learn as a metacognitive correlate of functional outcomes after stroke: a cohort study
Taisei Sugiyama, Shintaro Uehara, Akiko Yuasa, et al.
European Journal of Physical and Rehabilitation Medicine (2024) Vol. 60, Iss. 5
Open Access | Times Cited: 1

Meta-learning of human motor adaptation via the dorsal premotor cortex
Taisei Sugiyama, Shintaro Uehara, Jun Izawa
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 44
Closed Access | Times Cited: 1

Reward actively engages both implicit and explicit components in dual force field adaptation
Marion Forano, David W. Franklin
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2

The effects of reward and punishment on the performance of ping-pong ball bouncing
Cong Yin, Yaoxu Wang, Biao Li, et al.
Frontiers in Behavioral Neuroscience (2024) Vol. 18
Open Access

Inter-individual variability in motor learning due to differences in effective learning rates between generalist and specialist memory stores
Rieko Osu, Norikazu Sugimoto, Toshinori Yoshioka, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access

Co-production of a Platform Neurotechnology for XR Biofeedback Training for Functional Upper Limb Weakness (Preprint)
Anirban Dutta, Katerina Hatjipanagioti, Matthew Newsham, et al.
(2024)
Closed Access

Co-design and Usability Evaluation of an Extended Reality Biofeedback Platform for Functional Upper Limb Weakness (Preprint)
Anirban Dutta, Katerina Hatjipanagioti, Matthew Newsham, et al.
JMIR XR and spatial computing. (2024)
Open Access

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