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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:

Electromyography data for non-invasive naturally-controlled robotic hand prostheses
Manfredo Atzori, Arjan Gijsberts, Claudio Castellini, et al.
Scientific Data (2014) Vol. 1, Iss. 1
Open Access | Times Cited: 760

Showing 1-25 of 760 citing articles:

Deep learning for healthcare applications based on physiological signals: A review
Oliver Faust, Yuki Hagiwara, Jen Hong Tan, et al.
Computer Methods and Programs in Biomedicine (2018) Vol. 161, pp. 1-13
Closed Access | Times Cited: 896
Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning
Ulysse Côté‐Allard, Cheikh Latyr Fall, Alexandre Drouin, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2019) Vol. 27, Iss. 4, pp. 760-771
Open Access | Times Cited: 593
Deep Learning with Convolutional Neural Networks Applied to Electromyography Data: A Resource for the Classification of Movements for Prosthetic Hands
Manfredo Atzori, Matteo Cognolato, Henning Müller
Frontiers in Neurorobotics (2016) Vol. 10
Open Access | Times Cited: 575
Gesture recognition by instantaneous surface EMG images
Weidong Geng, Yu Du, Wenguang Jin, et al.
Scientific Reports (2016) Vol. 6, Iss. 1
Open Access | Times Cited: 516
A wearable biosensing system with in-sensor adaptive machine learning for hand gesture recognition
Ali Moin, Andy Zhou, Abbas Rahimi, et al.
Nature Electronics (2020) Vol. 4, Iss. 1, pp. 54-63
Closed Access | Times Cited: 478
An open science resource for establishing reliability and reproducibility in functional connectomics
Xi-Nian Zuo, Jeffrey S. Anderson, Pierre Bellec, et al.
Scientific Data (2014) Vol. 1, Iss. 1
Open Access | Times Cited: 448
A novel attention-based hybrid CNN-RNN architecture for sEMG-based gesture recognition
Yu Hu, Yongkang Wong, Wentao Wei, et al.
PLoS ONE (2018) Vol. 13, Iss. 10, pp. e0206049-e0206049
Open Access | Times Cited: 326
Self-Recalibrating Surface EMG Pattern Recognition for Neuroprosthesis Control Based on Convolutional Neural Network
Xiaolong Zhai, Beth Jelfs, Rosa H. M. Chan, et al.
Frontiers in Neuroscience (2017) Vol. 11
Open Access | Times Cited: 325
Comparison of six electromyography acquisition setups on hand movement classification tasks
Stefano Pizzolato, Luca Tagliapietra, Matteo Cognolato, et al.
PLoS ONE (2017) Vol. 12, Iss. 10, pp. e0186132-e0186132
Open Access | Times Cited: 324
Surface EMG-Based Inter-Session Gesture Recognition Enhanced by Deep Domain Adaptation
Yu Du, Wenguang Jin, Wentao Wei, et al.
Sensors (2017) Vol. 17, Iss. 3, pp. 458-458
Open Access | Times Cited: 315
Feature Extraction and Selection for Myoelectric Control Based on Wearable EMG Sensors
Angkoon Phinyomark, Rami N. Khushaba, Erik Scheme
Sensors (2018) Vol. 18, Iss. 5, pp. 1615-1615
Open Access | Times Cited: 270
A multi-stream convolutional neural network for sEMG-based gesture recognition in muscle-computer interface
Wentao Wei, Yongkang Wong, Yu Du, et al.
Pattern Recognition Letters (2017) Vol. 119, pp. 131-138
Closed Access | Times Cited: 238
EMG Pattern Recognition in the Era of Big Data and Deep Learning
Angkoon Phinyomark, Erik Scheme
Big Data and Cognitive Computing (2018) Vol. 2, Iss. 3, pp. 21-21
Open Access | Times Cited: 212
Surface-Electromyography-Based Gesture Recognition by Multi-View Deep Learning
Wentao Wei, Qingfeng Dai, Yongkang Wong, et al.
IEEE Transactions on Biomedical Engineering (2019) Vol. 66, Iss. 10, pp. 2964-2973
Closed Access | Times Cited: 207
Wearable technology in stroke rehabilitation: towards improved diagnosis and treatment of upper-limb motor impairment
Pablo Maceira-Elvira, Traian Popa, Anne‐Christine Schmid, et al.
Journal of NeuroEngineering and Rehabilitation (2019) Vol. 16, Iss. 1
Open Access | Times Cited: 205
Multiday EMG-Based Classification of Hand Motions with Deep Learning Techniques
Muhammad Zia ur Rehman, Asim Waris, Syed Omer Gilani, et al.
Sensors (2018) Vol. 18, Iss. 8, pp. 2497-2497
Open Access | Times Cited: 202
Real-Time Hand Gesture Recognition Using Surface Electromyography and Machine Learning: A Systematic Literature Review
Andres G. Jaramillo, Marco E. Benalcázar, Elisa Mena-Maldonado
Sensors (2020) Vol. 20, Iss. 9, pp. 2467-2467
Open Access | Times Cited: 187
Hand Gesture Recognition Using Compact CNN via Surface Electromyography Signals
Lin Chen, Jianting Fu, Yuheng Wu, et al.
Sensors (2020) Vol. 20, Iss. 3, pp. 672-672
Open Access | Times Cited: 177
Combined influence of forearm orientation and muscular contraction on EMG pattern recognition
Rami N. Khushaba, Ali H. Al‐Timemy, Sarath Kodagoda, et al.
Expert Systems with Applications (2016) Vol. 61, pp. 154-161
Open Access | Times Cited: 175
Improved prosthetic hand control with concurrent use of myoelectric and inertial measurements
Agamemnon Krasoulis, Iris Kyranou, Mustafa Suphi Erden, et al.
Journal of NeuroEngineering and Rehabilitation (2017) Vol. 14, Iss. 1
Open Access | Times Cited: 175
Hand Gesture Recognition based on Surface Electromyography using Convolutional Neural Network with Transfer Learning Method
Xiang Chen, Yu Li, Ruochen Hu, et al.
IEEE Journal of Biomedical and Health Informatics (2020) Vol. 25, Iss. 4, pp. 1292-1304
Closed Access | Times Cited: 148
EMG Feature Selection and Classification Using a Pbest-Guide Binary Particle Swarm Optimization
Jingwei Too, Abdul Rahim Abdullah, Norhashimah Mohd Saad, et al.
Computation (2019) Vol. 7, Iss. 1, pp. 12-12
Open Access | Times Cited: 146
Surface EMG signal classification using ternary pattern and discrete wavelet transform based feature extraction for hand movement recognition
Türker Tuncer, Şengül Doğan, Abdülhamit Subaşı
Biomedical Signal Processing and Control (2020) Vol. 58, pp. 101872-101872
Closed Access | Times Cited: 144
Emerging Wearable Interfaces and Algorithms for Hand Gesture Recognition: A Survey
Shuo Jiang, Peiqi Kang, Xinyu Song, et al.
IEEE Reviews in Biomedical Engineering (2021) Vol. 15, pp. 85-102
Closed Access | Times Cited: 141
Gesture Recognition Using Surface Electromyography and Deep Learning for Prostheses Hand: State-of-the-Art, Challenges, and Future
Wei Li, Ping Shi, Hongliu Yu
Frontiers in Neuroscience (2021) Vol. 15
Open Access | Times Cited: 131
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