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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:

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

Showing 1-25 of 212 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: 594
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: 259
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
Convolutional Neural Networks: A Survey
Moez Krichen
Computers (2023) Vol. 12, Iss. 8, pp. 151-151
Open Access | Times Cited: 250
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
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: 142
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: 74
A Review of Hand Gesture Recognition Systems Based on Noninvasive Wearable Sensors
Rayane Tchantchane, Hao Zhou, Shen Zhang, et al.
Advanced Intelligent Systems (2023) Vol. 5, Iss. 10
Open Access | Times Cited: 42
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
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
EMG-Centered Multisensory Based Technologies for Pattern Recognition in Rehabilitation: State of the Art and Challenges
Chaoming Fang, Bowei He, Yixuan Wang, et al.
Biosensors (2020) Vol. 10, Iss. 8, pp. 85-85
Open Access | Times Cited: 110
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
Classification of human hand movements based on EMG signals using nonlinear dimensionality reduction and data fusion techniques
Neta Rabin, Maayan Kahlon, Sarit Malayev, et al.
Expert Systems with Applications (2020) Vol. 149, pp. 113281-113281
Closed Access | Times Cited: 81
Current Solutions and Future Trends for Robotic Prosthetic Hands
Vincent Mendez, Francesco Iberite, Solaiman Shokur, et al.
Annual Review of Control Robotics and Autonomous Systems (2021) Vol. 4, Iss. 1, pp. 595-627
Closed Access | Times Cited: 72
Electromyogram-Based Classification of Hand and Finger Gestures Using Artificial Neural Networks
Kyung Hyun Lee, Ji Young Min, Sangwon Byun
Sensors (2021) Vol. 22, Iss. 1, pp. 225-225
Open Access | Times Cited: 67
Recent advances in wearable electromechanical sensors—Moving towards machine learning-assisted wearable sensing systems
Nian Dai, Iek Man Lei, Zhaoyang Li, et al.
Nano Energy (2022) Vol. 105, pp. 108041-108041
Closed Access | Times Cited: 65
Stretchable and Self-Adhesive PEDOT:PSS Blend with High Sweat Tolerance as Conformal Biopotential Dry Electrodes
Jian Cao, Xingyi Yang, Jiancheng Rao, et al.
ACS Applied Materials & Interfaces (2022) Vol. 14, Iss. 34, pp. 39159-39171
Closed Access | Times Cited: 60
Toward Robust, Adaptiveand Reliable Upper-Limb Motion Estimation Using Machine Learning and Deep Learning–A Survey in Myoelectric Control
Tianzhe Bao, Sheng Quan Xie, Pengfei Yang, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 8, pp. 3822-3835
Open Access | Times Cited: 46
Active upper limb prostheses: a review on current state and upcoming breakthroughs
Andrea Marinelli, Nicolò Boccardo, Federico Tessari, et al.
Progress in Biomedical Engineering (2022) Vol. 5, Iss. 1, pp. 012001-012001
Open Access | Times Cited: 45
Hand Gesture Recognition Across Various Limb Positions Using a Multimodal Sensing System Based on Self-Adaptive Data-Fusion and Convolutional Neural Networks (CNNs)
Shen Zhang, Hao Zhou, Rayane Tchantchane, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 11, pp. 18633-18645
Closed Access | Times Cited: 8
putEMG—A Surface Electromyography Hand Gesture Recognition Dataset
Piotr Kaczmarek, Tomasz Mańkowski, Jakub Tomczyński
Sensors (2019) Vol. 19, Iss. 16, pp. 3548-3548
Open Access | Times Cited: 68
Surface Electromyography (EMG) Signal Processing, Classification, and Practical Considerations
Angkoon Phinyomark, Evan Campbell, Erik Scheme
Series in bioengineering (2019), pp. 3-29
Closed Access | Times Cited: 67
EEG Emotion Classification Using an Improved SincNet-Based Deep Learning Model
Hong Zeng, Zhenhua Wu, Jiaming Zhang, et al.
Brain Sciences (2019) Vol. 9, Iss. 11, pp. 326-326
Open Access | Times Cited: 66
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