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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:

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

Showing 1-25 of 202 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
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities
Kaixuan Chen, Dalin Zhang, Lina Yao, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 259
Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances
Shibo Zhang, Yaxuan Li, Shen Zhang, et al.
Sensors (2022) Vol. 22, Iss. 4, pp. 1476-1476
Open Access | Times Cited: 257
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
Deep Learning in Physiological Signal Data: A Survey
Beanbonyka Rim, Nak-Jun Sung, Se Dong Min, et al.
Sensors (2020) Vol. 20, Iss. 4, pp. 969-969
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
Regression convolutional neural network for improved simultaneous EMG control
Ali Ameri, Mohammad Ali Akhaee, Erik Scheme, et al.
Journal of Neural Engineering (2019) Vol. 16, Iss. 3, pp. 036015-036015
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
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
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
Intelligent EMG Pattern Recognition Control Method for Upper-Limb Multifunctional Prostheses: Advances, Current Challenges, and Future Prospects
Oluwarotimi Williams Samuel, Mojisola Grace Asogbon, Yanjuan Geng, et al.
IEEE Access (2019) Vol. 7, pp. 10150-10165
Open Access | Times Cited: 144
Performance Evaluation of Convolutional Neural Network for Hand Gesture Recognition Using EMG
Ali Raza Asif, Asim Waris, Syed Omer Gilani, et al.
Sensors (2020) Vol. 20, Iss. 6, pp. 1642-1642
Open Access | Times Cited: 107
Interpreting Deep Learning Features for Myoelectric Control: A Comparison With Handcrafted Features
Ulysse Côté‐Allard, Evan Campbell, Angkoon Phinyomark, et al.
Frontiers in Bioengineering and Biotechnology (2020) Vol. 8
Open Access | Times Cited: 101
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
Convolutional Neural Network for Drowsiness Detection Using EEG Signals
Siwar Chaabene, Bassem Bouaziz, Amal Boudaya, et al.
Sensors (2021) Vol. 21, Iss. 5, pp. 1734-1734
Open Access | Times Cited: 87
Trends in human activity recognition using smartphones
Anna Ferrari, Daniela Micucci, Marco Mobilio, et al.
Journal of Reliable Intelligent Environments (2021) Vol. 7, Iss. 3, pp. 189-213
Open Access | Times Cited: 74
Hand gesture classification using time–frequency images and transfer learning based on CNN
Mehmet Akif Özdemir, Deniz Hande Kisa, Onan Güren, et al.
Biomedical Signal Processing and Control (2022) Vol. 77, pp. 103787-103787
Closed Access | Times Cited: 62
EMG-driven control in lower limb prostheses: a topic-based systematic review
Andrea Cimolato, Josephus J. M. Driessen, Leonardo S. Mattos, et al.
Journal of NeuroEngineering and Rehabilitation (2022) Vol. 19, Iss. 1
Open Access | Times Cited: 58
Noninvasive Neural Interfacing With Wearable Muscle Sensors: Combining Convolutive Blind Source Separation Methods and Deep Learning Techniques for Neural Decoding
Aleš Holobar, Dario Farina
IEEE Signal Processing Magazine (2021) Vol. 38, Iss. 4, pp. 103-118
Closed Access | Times Cited: 55
XAI for myo-controlled prosthesis: Explaining EMG data for hand gesture classification
Noemi Gozzi, Lorenzo Malandri, Fabio Mercorio, et al.
Knowledge-Based Systems (2022) Vol. 240, pp. 108053-108053
Closed Access | Times Cited: 40
Long-term upper-extremity prosthetic control using regenerative peripheral nerve interfaces and implanted EMG electrodes
Philip P. Vu, Alex K. Vaskov, Christina Lee, et al.
Journal of Neural Engineering (2023) Vol. 20, Iss. 2, pp. 026039-026039
Open Access | Times Cited: 24
E2CNN: An Efficient Concatenated CNN for Classification of Surface EMG Extracted From Upper Limb
Muhammad Farrukh Qureshi, Zohaib Mushtaq, Muhammad Zia‐ur‐Rehman, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 8, pp. 8989-8996
Open Access | Times Cited: 22
Optimizing the performance of convolutional neural network for enhanced gesture recognition using sEMG
Hassan Ashraf, Asim Waris, Syed Omer Gilani, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 8
3D printed PEDOT:PSS-based conducting and patternable eutectogel electrodes for machine learning on textiles
Ruben Ruiz‐Mateos Serrano, Ana Aguzin, Eleni Mitoudi‐Vagourdi, et al.
Biomaterials (2024) Vol. 310, pp. 122624-122624
Open Access | Times Cited: 8
Evaluation of the Myo armband for the classification of hand motions
Irene Méndez Guerra, B. W. Hansen, Christopher Grabow, et al.
(2017)
Open Access | Times Cited: 68
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