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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:

Myoelectric digit action decoding with multi-output, multi-class classification: an offline analysis
Agamemnon Krasoulis, Kianoush Nazarpour
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 16

Showing 16 citing articles:

Neuromorphic hardware for somatosensory neuroprostheses
Elisa Donati, Giacomo Valle
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 34
Deep Learning for Enhanced Prosthetic Control: Real-Time Motor Intent Decoding for Simultaneous Control of Artificial Limbs
Jan Zbinden, Julia Molin, Max Ortiz-Catalan
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 1177-1186
Open Access | Times Cited: 7
Arduino-Based Myoelectric Control: Towards Longitudinal Study of Prosthesis Use
Hancong Wu, Matthew Dyson, Kianoush Nazarpour
Sensors (2021) Vol. 21, Iss. 3, pp. 763-763
Open Access | Times Cited: 36
Human-Centered Evaluation of EMG-Based Upper-Limb Prosthetic Control Modes
Y. Liu, Joseph Berman, Albert Dodson, et al.
IEEE Transactions on Human-Machine Systems (2024) Vol. 54, Iss. 3, pp. 271-281
Closed Access | Times Cited: 3
sEMG-based Regression of Hand Kinematics with Temporal Convolutional Networks on a Low-Power Edge Microcontroller
Marcello Zanghieri, Simone Benatti, Alessio Burrello, et al.
(2021), pp. 1-6
Closed Access | Times Cited: 18
Minimum Mapping from EMG Signals at Human Elbow and Shoulder Movements into Two DoF Upper-Limb Robot with Machine Learning
Pringgo Widyo Laksono, Takahide Kitamura, Joseph Muguro, et al.
Machines (2021) Vol. 9, Iss. 3, pp. 56-56
Open Access | Times Cited: 12
Deep learning for enhanced prosthetic control: Real-time motor intent decoding for simultaneous control of artificial limbs
Jan Zbinden, Julia Molin, Max Ortiz Catalan
(2023)
Open Access | Times Cited: 4
Event-based Estimation of Hand Forces from High-Density Surface EMG on a Parallel Ultra-Low-Power Microcontroller
Marcello Zanghieri, Pierangelo Maria Rapa, Mattia Orlandi, et al.
IEEE Sensors Journal (2024), pp. 1-1
Open Access | Times Cited: 1
Combined Dynamic Time Warping and Spatiotemporal Attention for Myoelectric Control
Milad Jabbari, Rami N. Khushaba, Kianoush Nazarpour
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2021), pp. 5940-5943
Closed Access | Times Cited: 6
sEMG-driven Hand Dynamics Estimation with Incremental Online Learning on a Parallel Ultra-Low-Power Microcontroller
Marcello Zanghieri, Pierangelo Maria Rapa, Mattia Orlandi, et al.
IEEE Transactions on Biomedical Circuits and Systems (2024) Vol. 18, Iss. 4, pp. 810-820
Closed Access
Discrete Action Control for Prosthetic Digits
Agamemnon Krasoulis, Kianoush Nazarpour
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 610-620
Open Access | Times Cited: 2
Prediction Poverty Levels of College Students Using a Machine Learning Model
Sheng Wang, Yumei Shi
Research Square (Research Square) (2021)
Open Access | Times Cited: 2
Novel Time Domain Based Upper-Limb Prosthesis Control using Incremental Learning Approach.
Sidharth Pancholi, Amit M. Joshi
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 1
Electromyography Signal Classification using Convolution Neural Network Architecture for Bionic Arm High Level Control
Hamdy O. Farag, Mohammed I. Awad, Ahmad M. Baioumy, et al.
(2021)
Closed Access | Times Cited: 1
Deep learning for enhanced prosthetic control: Real-time motor intent decoding for simultaneous control of artificial limbs
Jan Zbinden, Julia Molin, Max Ortiz Catalan
(2023)
Open Access
Can Deep Synthesis of EMG Overcome the Geometric Growth of Training Data Required to Recognize Multiarticulate Motions?*
Alexander Olsson, Nebojša Malešević, Anders Björkman, et al.
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2021), pp. 6380-6383
Open Access
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