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:

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

Showing 1-25 of 315 citing articles:

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

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

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

Deep Learning for EMG-based Human-Machine Interaction: A Review
Dezhen Xiong, Daohui Zhang, Xingang Zhao, et al.
IEEE/CAA Journal of Automatica Sinica (2021) Vol. 8, Iss. 3, pp. 512-533
Closed Access | Times Cited: 256

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

A deep-learned skin sensor decoding the epicentral human motions
Kyun Kyu Kim, Inho Ha, Min Kim, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 227

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

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

Gesture interaction in virtual reality
Yang Li, Jin Huang, Feng Tian, et al.
Virtual Reality & Intelligent Hardware (2019) Vol. 1, Iss. 1, pp. 84-112
Open Access | Times Cited: 189

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

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

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

Surface Electromyography as a Natural Human–Machine Interface: A Review
Mingde Zheng, Michael S. Crouch, Michael S. Eggleston
IEEE Sensors Journal (2022) Vol. 22, Iss. 10, pp. 9198-9214
Open Access | Times Cited: 73

Neuromorphic hardware for somatosensory neuroprostheses
Elisa Donati, Giacomo Valle
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 30

Transfer learning for sEMG hand gestures recognition using convolutional neural networks
Ulysse Côté‐Allard, Cheikh Latyr Fall, Alexandre Campeau‐Lecours, et al.
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2017), pp. 1663-1668
Open Access | Times Cited: 162

A Deep Transfer Learning Approach to Reducing the Effect of Electrode Shift in EMG Pattern Recognition-Based Control
Ali Ameri, Mohammad Ali Akhaee, Erik Scheme, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2019) Vol. 28, Iss. 2, pp. 370-379
Closed Access | Times Cited: 124

Robust Real-Time Embedded EMG Recognition Framework Using Temporal Convolutional Networks on a Multicore IoT Processor
Marcello Zanghieri, Simone Benatti, Alessio Burrello, et al.
IEEE Transactions on Biomedical Circuits and Systems (2019) Vol. 14, Iss. 2, pp. 244-256
Open Access | Times Cited: 116

sEMG-Based Gesture Recognition with Convolution Neural Networks
Zhen Ding, Chifu Yang, Zhihong Tian, et al.
Sustainability (2018) Vol. 10, Iss. 6, pp. 1865-1865
Open Access | Times Cited: 110

Current Trends and Confounding Factors in Myoelectric Control: Limb Position and Contraction Intensity
Evan Campbell, Angkoon Phinyomark, Erik Scheme
Sensors (2020) Vol. 20, Iss. 6, pp. 1613-1613
Open Access | Times Cited: 102

FS-HGR: Few-Shot Learning for Hand Gesture Recognition via Electromyography
Elahe Rahimian, Soheil Zabihi, Amir Asif, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2021) Vol. 29, pp. 1004-1015
Open Access | Times Cited: 100

Causes of Performance Degradation in Non-invasive Electromyographic Pattern Recognition in Upper Limb Prostheses
Iris Kyranou, Sethu Vijayakumar, Mustafa Suphi Erden
Frontiers in Neurorobotics (2018) Vol. 12
Open Access | Times Cited: 98

Dynamic Gesture Recognition Using Surface EMG Signals Based on Multi-Stream Residual Network
Zhiwen Yang, Du Jiang, Ying Sun, et al.
Frontiers in Bioengineering and Biotechnology (2021) Vol. 9
Open Access | Times Cited: 94

CapBand
Hoang Truong, Shuo Zhang, Ufuk Muncuk, et al.
(2018), pp. 54-67
Closed Access | Times Cited: 90

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