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:

A generic noninvasive neuromotor interface for human-computer interaction
David Sussillo, Patrick Kaifosh, Thomas R. Reardon
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 15

Showing 15 citing articles:

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

EMG Dataset for Gesture Recognition with Arm Translation
Iris Kyranou, Katarzyna Szymaniak, Kianoush Nazarpour
Scientific Data (2025) Vol. 12, Iss. 1
Open Access

Motor unit sampling from intramuscular micro-electrode array recordings
Agnese Grison, Jaime Ibáñez, Dario Farina
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2025) Vol. 33, pp. 620-629
Open Access

MyoGestic: EMG interfacing framework for decoding multiple spared motor dimensions in individuals with neural lesions
Raul Sîmpetru, Dominik I. Braun, Allen Simon, et al.
Science Advances (2025) Vol. 11, Iss. 15
Closed Access

Topology of surface electromyogram signals: hand gesture decoding on Riemannian manifolds
Harshavardhana T. Gowda, Lee M Miller
Journal of Neural Engineering (2024) Vol. 21, Iss. 3, pp. 036047-036047
Open Access | Times Cited: 2

Comparing online wrist and forearm EMG-based control using a rhythm game-inspired evaluation environment
R. Alan Meredith, Ethan Eddy, Scott Bateman, et al.
Journal of Neural Engineering (2024) Vol. 21, Iss. 4, pp. 046057-046057
Open Access | Times Cited: 1

Discrete Gesture Recognition Using Multi-Modal PPG, IMU, and Single-Channel EMG Recorded at the Wrist
Ethan Eddy, Evan Campbell, Ulysse Côté‐Allard, et al.
IEEE Sensors Letters (2024) Vol. 8, Iss. 9, pp. 1-4
Closed Access | Times Cited: 1

Big data in myoelectric control: large multi-user models enable robust zero-shot EMG-based discrete gesture recognition
Ethan Eddy, Evan Campbell, Scott Bateman, et al.
Frontiers in Bioengineering and Biotechnology (2024) Vol. 12
Open Access | Times Cited: 1

Posture-invariant myoelectric control with self-calibrating random forests
Xinyu Jiang, Chenfei Ma, Kianoush Nazarpour
Frontiers in Neurorobotics (2024) Vol. 18
Open Access | Times Cited: 1

Enhancing HCI Through Real-Time Gesture Recognition with Federated CNNs: Improving Performance and Responsiveness
R. Stella Maragatham, Yousef A. Baker El‐Ebiary, V Srilakshmi, et al.
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 4
Open Access

A simplified adversarial architecture for cross-subject silent speech recognition using electromyography
Qiang Cui, Xingyu Zhang, Yakun Zhang, et al.
Journal of Neural Engineering (2024) Vol. 21, Iss. 5, pp. 056001-056001
Closed Access

Next-Gen Human-Computer Interaction: A Hybrid LSTM-CNN Model for Superior Adaptive User Experience
Ravindra Changala, J. Manoranjini, M. Misba, et al.
(2024), pp. 1-7
Closed Access

Self-Supervised Learning for Intuitive Control of Prosthetic Hand Movements via Sonomyography
Xingchen Yang, Zongtian Yin, Yixuan Sheng, et al.
IEEE Transactions on Cybernetics (2024) Vol. 55, Iss. 1, pp. 409-420
Closed Access

An adaptive learning method for long-term gesture recognition based on surface electromyography
Yurong Li, Xiaofeng Lin, Heng Lin, et al.
Physiological Measurement (2024) Vol. 45, Iss. 12, pp. 125009-125009
Closed Access

Screen Guided Training Does Not Capture Goal-Oriented Behaviours: Learning Myoelectric Control Mappings From Scratch Using Context Informed Incremental Learning
Evan Campbell, Ethan Eddy, Xavier Isabel, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 33, pp. 332-342
Open Access

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