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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:

Evaluation of Myoelectric Control Learning Using Multi-Session Game-Based Training
Aaron Tabor, Scott Bateman, Erik Scheme
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2018) Vol. 26, Iss. 9, pp. 1680-1689
Closed Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Surface Electromyography (EMG) Signal Processing, Classification, and Practical Considerations
Angkoon Phinyomark, Evan Campbell, Erik Scheme
Series in bioengineering (2019), pp. 3-29
Closed Access | Times Cited: 67
A Low-Cost, Wireless, 3-D-Printed Custom Armband for sEMG Hand Gesture Recognition
Ulysse Côté‐Allard, Gabriel Gagnon-Turcotte, François Laviolette, et al.
Sensors (2019) Vol. 19, Iss. 12, pp. 2811-2811
Open Access | Times Cited: 64
User training for machine learning controlled upper limb prostheses: a serious game approach
Morten Kristoffersen, Andreas Franzke, Raoul M. Bongers, et al.
Journal of NeuroEngineering and Rehabilitation (2021) Vol. 18, Iss. 1
Open Access | Times Cited: 41
Improving the Robustness and Adaptability of sEMG-Based Pattern Recognition Using Deep Domain Adaptation
Ping Shi, Xinran Zhang, Wei Li, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 11, pp. 5450-5460
Closed Access | Times Cited: 30
A Framework and Call to Action for the Future Development of EMG-Based Input in HCI
Ethan Eddy, Erik Scheme, Scott Bateman
(2023), pp. 1-23
Open Access | Times Cited: 17
Understanding the influence of confounding factors in myoelectric control for discrete gesture recognition
Ethan Eddy, Evan Campbell, Scott Bateman, et al.
Journal of Neural Engineering (2024) Vol. 21, Iss. 3, pp. 036015-036015
Open Access | Times Cited: 6
Skill transfer of upper limb prosthesis control after training in a virtual reality environment
Bart Maas, Jack Tchimino, Bram van Dijk, et al.
Technology and Disability (2025)
Closed Access
Lower Limb Activity Recognition Based on sEMG Using Stacked Weighted Random Forest
Cheng Shen, Zhongcai Pei, Weihai Chen, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 32, pp. 166-177
Open Access | Times Cited: 11
Integrating Upper-Limb Prostheses with the Human Body: Technology Advances, Readiness, and Roles in Human–Prosthesis Interaction
He Huang, Levi J. Hargrove, Max Ortiz-Catalan, et al.
Annual Review of Biomedical Engineering (2024) Vol. 26, Iss. 1, pp. 503-528
Closed Access | Times Cited: 4
Day-to-Day Stability of Wrist EMG for Wearable-Based Hand Gesture Recognition
Fady S. Botros, Angkoon Phinyomark, Erik Scheme
IEEE Access (2022) Vol. 10, pp. 125942-125954
Open Access | Times Cited: 18
Serious gaming to generate separated and consistent EMG patterns in pattern-recognition prosthesis control
Morten Kristoffersen, Andreas Franzke, Corry K. van der Sluis, et al.
Biomedical Signal Processing and Control (2020) Vol. 62, pp. 102140-102140
Open Access | Times Cited: 26
Serious Games Are Not Serious Enough for Myoelectric Prosthetics
Christian Alexander Garske, Matthew Dyson, Sigrid Dupan, et al.
JMIR Serious Games (2021) Vol. 9, Iss. 4, pp. e28079-e28079
Open Access | Times Cited: 17
Perception of Game-Based Rehabilitation in Upper Limb Prosthetic Training: Survey of Users and Researchers
Christian Alexander Garske, Matthew Dyson, Sigrid Dupan, et al.
JMIR Serious Games (2020) Vol. 9, Iss. 1, pp. e23710-e23710
Open Access | Times Cited: 17
Looking beyond proportional control: The relevance of mode switching in learning to operate multi-articulating myoelectric upper-limb prostheses
Anniek Heerschop, Corry K. van der Sluis, Egbert Otten, et al.
Biomedical Signal Processing and Control (2019) Vol. 55, pp. 101647-101647
Open Access | Times Cited: 15
EMG-Force and EMG-Target Models During Force-Varying Bilateral Hand-Wrist Contraction in Able-Bodied and Limb-Absent Subjects
Ziling Zhu, Carlos Martinez-Luna, Jianan Li, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020) Vol. 28, Iss. 12, pp. 3040-3050
Open Access | Times Cited: 12
Transfer of mode switching performance: from training to upper-limb prosthesis use
Anniek Heerschop, Corry K. van der Sluis, Raoul M. Bongers
Journal of NeuroEngineering and Rehabilitation (2021) Vol. 18, Iss. 1
Open Access | Times Cited: 11
Assessing the effectiveness of serious game training designed to assist in upper limb prothesis rehabilitation
Bart Maas, Corry K. van der Sluis, Raoul M. Bongers
Frontiers in Rehabilitation Sciences (2024) Vol. 5
Open Access | Times Cited: 1
The Influence of Training With Visual Biofeedback on the Predictability of Myoelectric Control Usability
Jena L. Nawfel, Kevin Englehart, Erik Scheme
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 878-892
Open Access | Times Cited: 7
Designing a Serious Game for Myoelectric Prosthesis Control
Diogo Bessa, Nuno F. Rodrigues, Eva Oliveira, et al.
(2020), pp. 1-5
Closed Access | Times Cited: 10
Closing the Loop Between Body Compensations and Upper Limb Prosthetic Movements: A Feasibility Study
Mathilde Legrand, Nathanaël Jarrassé, Étienne de Montalivet, et al.
IEEE Transactions on Medical Robotics and Bionics (2020) Vol. 3, Iss. 1, pp. 230-240
Open Access | Times Cited: 9
Exploring Biomimetic Stiffness Modulation and Wearable Finger Haptics for Improving Myoelectric Control of Virtual Hand
Hong Zeng, Weijie Yu, Dapeng Chen, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 1601-1611
Open Access | Times Cited: 6
Evaluating User and Machine Learning in Short- and Long-Term Pattern Recognition-Based Myoelectric Control
Bo Lv, Guohong Chai, Xinjun Sheng, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2021) Vol. 29, pp. 777-785
Open Access | Times Cited: 8
The Need to Work Arm in Arm: Calling for Collaboration in Delivering Neuroprosthetic Limb Replacements
Alison M. Karczewski, Aaron M. Dingle, Samuel O. Poore
Frontiers in Neurorobotics (2021) Vol. 15
Open Access | Times Cited: 8
Serious Games Are Not Serious Enough for Myoelectric Prosthetics (Preprint)
Christian Alexander Garske, Matthew Dyson, Sigrid Dupan, et al.
(2021)
Open Access | Times Cited: 2
Myoelectric Gaming in the Rehabilitation of Patients with C7 Spinal Cord Injury
R. de la Rosa, Albano Carrera, Alonso Alonso, et al.
Applied Sciences (2019) Vol. 9, Iss. 9, pp. 1912-1912
Open Access | Times Cited: 1
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