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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:

The effects of motor modularity on performance, learning and generalizability in upper-extremity reaching: a computational analysis
Mazen Al Borno, Jennifer L. Hicks, Scott L. Delp
Journal of The Royal Society Interface (2020) Vol. 17, Iss. 167, pp. 20200011-20200011
Open Access | Times Cited: 16

Showing 16 citing articles:

A Conceptual Blueprint for Making Neuromusculoskeletal Models Clinically Useful
Benjamin J. Fregly
Applied Sciences (2021) Vol. 11, Iss. 5, pp. 2037-2037
Open Access | Times Cited: 38
Predictive multibody dynamic simulation of human neuromusculoskeletal systems: a review
Míriam Febrer-Nafría, Ali Nasr, Mahdokht Ezati, et al.
Multibody System Dynamics (2022) Vol. 58, Iss. 3-4, pp. 299-339
Closed Access | Times Cited: 26
Muscle synergies are modified with improved task performance in skill learning
Sangsoo Park, Graham E. Caldwell
Human Movement Science (2022) Vol. 83, pp. 102946-102946
Closed Access | Times Cited: 13
Biomimetic Approaches for Human Arm Motion Generation: Literature Review and Future Directions
Urvish Trivedi, Dimitrios Menychtas, Redwan Alqasemi, et al.
Sensors (2023) Vol. 23, Iss. 8, pp. 3912-3912
Open Access | Times Cited: 7
Human motor learning dynamics in high-dimensional tasks
Ankur Kamboj, Rajiv Ranganathan, Xiaobo Tan, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 10, pp. e1012455-e1012455
Open Access | Times Cited: 2
Muscle synergies are associated with intermuscular coherence and cortico-synergy coherence in an isometric upper limb task
Pablo Ortega-Auriol, Winston D. Byblow, Thor F. Besier, et al.
Experimental Brain Research (2023) Vol. 241, Iss. 11-12, pp. 2627-2643
Open Access | Times Cited: 6
Motor synergy generalization framework for new targets in multi-planar and multi-directional reaching task
Kyo Kutsuzawa, Mitsuhiro Hayashibe
Royal Society Open Science (2022) Vol. 9, Iss. 5
Open Access | Times Cited: 10
Be Careful What You Wish for: Cost Function Sensitivity in Predictive Simulations for Assistive Device Design
Ali Nikoo, Thomas K. Uchida
Symmetry (2022) Vol. 14, Iss. 12, pp. 2534-2534
Open Access | Times Cited: 9
SAR: Generalization of Physiological Dexterity via Synergistic Action Representation
Cameron Berg, Vittorio Caggiano, Vikash Kumar
(2023)
Open Access | Times Cited: 4
Synergy quality assessment of muscle modules for determining learning performance using a realistic musculoskeletal model
Akito Fukunishi, Kyo Kutsuzawa, Dai Owaki, et al.
Frontiers in Computational Neuroscience (2024) Vol. 18
Open Access | Times Cited: 1
SAR: generalization of physiological agility and dexterity via synergistic action representation
Cameron Berg, Vittorio Caggiano, Vikash Kumar
Autonomous Robots (2024) Vol. 48, Iss. 8
Closed Access | Times Cited: 1
Muscle coordination patterns in regulation of medial gastrocnemius activation during walking
Benio Kibushi
Human Movement Science (2023) Vol. 90, pp. 103116-103116
Closed Access | Times Cited: 3
DEP-SNN-RL:Spiking Neural Networks Reinforcement Learning in Musculoskeletal Systems
Shuailong Li, Qing Zhang, Lin Feng
(2024), pp. 452-456
Closed Access
A Computational Method to Identify Optimal Functional Muscle Synergies from Estimated Muscle Activations
Yaru Chen, Yongxuan Wang, Fan Gao, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-14
Closed Access
Imitation Learning With Time-Varying Synergy for Compact Representation of Spatiotemporal Structures
Kyo Kutsuzawa, Mitsuhiro Hayashibe
IEEE Access (2023) Vol. 11, pp. 34150-34162
Open Access | Times Cited: 1
Shared Synergyを利用した高い汎化能力をもたらす模倣学習
Kyo Kutsuzawa
Journal of the Robotics Society of Japan (2023) Vol. 41, Iss. 8, pp. 661-664
Closed Access
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