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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:

Hand gesture recognition based on motor unit spike trains decoded from high-density electromyography
Chen Chen, Yang Yu, Shihan Ma, et al.
Biomedical Signal Processing and Control (2019) Vol. 55, pp. 101637-101637
Closed Access | Times Cited: 78

Showing 1-25 of 78 citing articles:

Materials, Devices, and Systems of On‐Skin Electrodes for Electrophysiological Monitoring and Human–Machine Interfaces
Hao Wu, Ganguang Yang, Kanhao Zhu, et al.
Advanced Science (2020) Vol. 8, Iss. 2
Open Access | Times Cited: 275
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
Hand-Gesture Recognition Based on EMG and Event-Based Camera Sensor Fusion: A Benchmark in Neuromorphic Computing
Enea Ceolini, Charlotte Frenkel, Sumit Bam Shrestha, et al.
Frontiers in Neuroscience (2020) Vol. 14
Open Access | Times Cited: 137
Analysis of motor unit spike trains estimated from high-density surface electromyography is highly reliable across operators
François Hug, Simon Avrillon, Alessandro Del Vecchio, et al.
Journal of Electromyography and Kinesiology (2021) Vol. 58, pp. 102548-102548
Open Access | Times Cited: 86
Adaptive Real-Time Identification of Motor Unit Discharges From Non-Stationary High-Density Surface Electromyographic Signals
Chen Chen, Shihan Ma, Xinjun Sheng, et al.
IEEE Transactions on Biomedical Engineering (2020) Vol. 67, Iss. 12, pp. 3501-3509
Closed Access | Times Cited: 76
LSTM Recurrent Neural Network for Hand Gesture Recognition Using EMG Signals
Alejandro Toro-Ossaba, Juan Jaramillo-Tigreros, Juan C. Tejada, et al.
Applied Sciences (2022) Vol. 12, Iss. 19, pp. 9700-9700
Open Access | Times Cited: 47
Bio-robotics research for non-invasive myoelectric neural interfaces for upper-limb prosthetic control: a 10-year perspective review
Ning Jiang, Chen Chen, Jiayuan He, et al.
National Science Review (2023) Vol. 10, Iss. 5
Open Access | Times Cited: 32
Transformer-based hand gesture recognition from instantaneous to fused neural decomposition of high-density EMG signals
Mansooreh Montazerin, Elahe Rahimian, Farnoosh Naderkhani, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 23
Neural control of matched motor units during muscle shortening and lengthening at increasing velocities
Anderson Souza Oliveira, Francesco Negro
Journal of Applied Physiology (2021) Vol. 130, Iss. 6, pp. 1798-1813
Closed Access | Times Cited: 53
Hand movement recognition from sEMG signals using Fourier decomposition method
Binish Fatimah, Pushpendra Singh, Amit Singhal, et al.
Journal of Applied Biomedicine (2021) Vol. 41, Iss. 2, pp. 690-703
Closed Access | Times Cited: 52
A convolutional neural network to identify motor units from high-density surface electromyography signals in real time
Yue Wen, Simon Avrillon, Julio C. Hernandez-Pavon, et al.
Journal of Neural Engineering (2021) Vol. 18, Iss. 5, pp. 056003-056003
Open Access | Times Cited: 43
Conformal electrodes for on‐skin digitalization
Cong Wang, Ke He, Jiaofu Li, et al.
SmartMat (2021) Vol. 2, Iss. 3, pp. 252-262
Open Access | Times Cited: 42
Real-Time Hand Gesture Recognition by Decoding Motor Unit Discharges Across Multiple Motor Tasks From Surface Electromyography
Chen Chen, Yang Yu, Xinjun Sheng, et al.
IEEE Transactions on Biomedical Engineering (2023) Vol. 70, Iss. 7, pp. 2058-2068
Closed Access | Times Cited: 18
Estimation of the firing behaviour of a complete motoneuron pool by combining electromyography signal decomposition and realistic motoneuron modelling
Arnault H. Caillet, Andrew Phillips, Dario Farina, et al.
PLoS Computational Biology (2022) Vol. 18, Iss. 9, pp. e1010556-e1010556
Open Access | Times Cited: 23
All 3D‐Printed Soft High‐Density Surface Electromyography Electrode Arrays for Accurate Muscle Activation Mapping and Decomposition
Yi Zhao, Chen Chen, Baoyang Lu, et al.
Advanced Functional Materials (2023) Vol. 34, Iss. 14
Closed Access | Times Cited: 15
Multiscale fusion enhanced spiking neural network for invasive BCI neural signal decoding
Yu Song, Liyuan Han, Bo Xu, et al.
Frontiers in Neuroscience (2025) Vol. 19
Open Access
Hand kinematics, high-density sEMG comprising forearm and far-field potentials for motion intent recognition
Weichao Guo, Zeming Zhao, Ze‐Yu Zhou, et al.
Scientific Data (2025) Vol. 12, Iss. 1
Open Access
An online training strategy based on the transfer learning concept for treating contaminants in surface electromyography
Maurício Cagliari Tosin, Tiago Oliveira Weber, Alexandre Balbinot
Engineering Applications of Artificial Intelligence (2025) Vol. 151, pp. 110696-110696
Closed Access
Deep learning and machine learning techniques to improve hand movement classification in myoelectric control system
R. Rajapriya, K. Rajeswari, Thiruvengadam S.J.
Journal of Applied Biomedicine (2021) Vol. 41, Iss. 2, pp. 554-571
Closed Access | Times Cited: 28
Enhanced Recognition of Amputated Wrist and Hand Movements by Deep Learning Method Using Multimodal Fusion of Electromyography and Electroencephalography
Sehyeon Kim, Dae Youp Shin, Tae-Kyung Kim, et al.
Sensors (2022) Vol. 22, Iss. 2, pp. 680-680
Open Access | Times Cited: 20
A blind source separation algorithm for decoding the mechanical spatiotemporal responses of motor units
Zongtian Yin, Chen Chen, Yiming Kang, et al.
Science China Technological Sciences (2025) Vol. 68, Iss. 5
Closed Access
Deep Heterogeneous Dilation of LSTM for Transient-Phase Gesture Prediction Through High-Density Electromyography: Towards Application in Neurorobotics
Tianyun Sun, Qin Hu, Jacqueline Libby, et al.
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 2, pp. 2851-2858
Open Access | Times Cited: 17
Far-field electric potentials provide access to the output from the spinal cord from wrist-mounted sensors
Irene Méndez Guerra, Deren Y. Barsakcioglu, Ivan Vujaklija, et al.
Journal of Neural Engineering (2022) Vol. 19, Iss. 2, pp. 026031-026031
Open Access | Times Cited: 17
Measuring Motor Unit Discharge, Myofiber Vibration, and Haemodynamics for Enhanced Myoelectric Gesture Recognition
Weichao Guo, Yun Fang, Xinjun Sheng, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-10
Closed Access | Times Cited: 10
A Unified User-Generic Framework for Myoelectric Pattern Recognition: Mix-Up and Adversarial Training for Domain Generalization and Adaptation
Xinhui Li, Xu Zhang, Xiang Chen, et al.
IEEE Transactions on Biomedical Engineering (2023) Vol. 70, Iss. 8, pp. 2248-2257
Closed Access | Times Cited: 10
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