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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:

SVM-Based Classification of sEMG Signals for Upper-Limb Self-Rehabilitation Training
Siqi Cai, Yan Chen, Shuangyuan Huang, et al.
Frontiers in Neurorobotics (2019) Vol. 13
Open Access | Times Cited: 91

Showing 1-25 of 91 citing articles:

All-weather, natural silent speech recognition via machine-learning-assisted tattoo-like electronics
Youhua Wang, Tianyi Tang, Yin Xu, et al.
npj Flexible Electronics (2021) Vol. 5, Iss. 1
Open Access | Times Cited: 69
Muscle force estimation from lower limb EMG signals using novel optimised machine learning techniques
Chiako Mokri, Mahdi Bamdad, Vahid Abolghasemi
Medical & Biological Engineering & Computing (2022) Vol. 60, Iss. 3, pp. 683-699
Open Access | Times Cited: 40
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
Deep back propagation–long short-term memory network based upper-limb sEMG signal classification for automated rehabilitation
Ying Wang, Qun Wu, Nilanjan Dey, et al.
Journal of Applied Biomedicine (2020) Vol. 40, Iss. 3, pp. 987-1001
Closed Access | Times Cited: 50
Human knee abnormality detection from imbalanced sEMG data
Ankit Vijayvargiya, Chandra Prakash, Rajesh Kumar, et al.
Biomedical Signal Processing and Control (2021) Vol. 66, pp. 102406-102406
Closed Access | Times Cited: 46
Biosignal-Based Human–Machine Interfaces for Assistance and Rehabilitation: A Survey
Daniele Esposito, Jessica Centracchio, Emilio Andreozzi, et al.
Sensors (2021) Vol. 21, Iss. 20, pp. 6863-6863
Open Access | Times Cited: 46
Home-Based Rehabilitation of the Shoulder Using Auxiliary Systems and Artificial Intelligence: An Overview
Bruno Cunha, Ricardo Ferreira, Andreia S. P. Sousa
Sensors (2023) Vol. 23, Iss. 16, pp. 7100-7100
Open Access | Times Cited: 19
On the Decoding of Shoulder Joint Intent of Motion From Transient EMG: Feature Evaluation and Classification
Andrea Tigrini, Federica Verdini, Sandro Fioretti, et al.
IEEE Transactions on Medical Robotics and Bionics (2023) Vol. 5, Iss. 4, pp. 1037-1044
Open Access | Times Cited: 16
AI Applications in Adult Stroke Recovery and Rehabilitation: A Scoping Review Using AI
Isuru Senadheera, Prasad Hettiarachchi, Brendon S. Haslam, et al.
Sensors (2024) Vol. 24, Iss. 20, pp. 6585-6585
Open Access | Times Cited: 7
Shoulder muscle activation pattern recognition based on sEMG and machine learning algorithms
Yongyu Jiang, Christine Chen, Xiaodong Zhang, et al.
Computer Methods and Programs in Biomedicine (2020) Vol. 197, pp. 105721-105721
Closed Access | Times Cited: 48
Surface Electromyography Characteristics for Motion Intention Recognition and Implementation Issues in Lower-limb Exoskeletons
Seulki Kyeong, Jirou Feng, Jae Kwan Ryu, et al.
International Journal of Control Automation and Systems (2022) Vol. 20, Iss. 3, pp. 1018-1028
Closed Access | Times Cited: 27
Proposal of a Wearable Multimodal Sensing-Based Serious Games Approach for Hand Movement Training After Stroke
Xinyu Song, Shirdi Shankara van de Ven, Shugeng Chen, et al.
Frontiers in Physiology (2022) Vol. 13
Open Access | Times Cited: 23
Comparative Analysis of Supervised Classifiers for the Evaluation of Sarcopenia Using a sEMG-Based Platform
Alessandro Leone, Gabriele Rescio, Andrea Manni, et al.
Sensors (2022) Vol. 22, Iss. 7, pp. 2721-2721
Open Access | Times Cited: 22
A Clinical Perspective on Bespoke Sensing Mechanisms for Remote Monitoring and Rehabilitation of Neurological Diseases: Scoping Review
Jia Min Yen, Jeong Hoon Lim
Sensors (2023) Vol. 23, Iss. 1, pp. 536-536
Open Access | Times Cited: 14
Lower limb joint angle estimation based on surface electromyography signals
Hongzhan Lv, Y. Wang, Boda Hao
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107563-107563
Closed Access
Design and Testing of a Portable Wireless Multi-Node sEMG System for Synchronous Muscle Signal Acquisition and Gesture Recognition
Xiaoying Zhu, C.Z. Li, Xiaoman Liu, et al.
Micromachines (2025) Vol. 16, Iss. 3, pp. 279-279
Open Access
Ternary spike-based neuromorphic signal processing system
Shuai Wang, Dehao Zhang, Ammar Belatreche, et al.
Neural Networks (2025) Vol. 187, pp. 107333-107333
Open Access
Research on Mirror-Assisted Rehabilitation Training Method Based on Dual-Arm Robots
Xiaolong Yang, Qing Sun, Shuai Guo
Journal of Bionic Engineering (2025)
Closed Access
Continuous prediction of human knee joint angle using a sparrow search algorithm optimized random forest model based on sEMG signals
Liuyi Ling, Lin Zhu, Bin Feng, et al.
Automatika (2025) Vol. 66, Iss. 2, pp. 321-334
Open Access
A Continuous Estimation Model of Upper Limb Joint Angles by Using Surface Electromyography and Deep Learning Method
Yan Chen, Song Yu, Ke Ma, et al.
IEEE Access (2019) Vol. 7, pp. 174940-174950
Open Access | Times Cited: 41
Comparison of machine learning methods in sEMG signal processing for shoulder motion recognition
Yang Zhou, Chaoyang Chen, Mark Ming‐Cheng Cheng, et al.
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102577-102577
Closed Access | Times Cited: 30
Voting-based 1D CNN model for human lower limb activity recognition using sEMG signal
Ankit Vijayvargiya, Khimraj, Rajesh Kumar, et al.
Physical and Engineering Sciences in Medicine (2021) Vol. 44, Iss. 4, pp. 1297-1309
Closed Access | Times Cited: 29
Volitional control of upper-limb exoskeleton empowered by EMG sensors and machine learning computing
Biao Chen, Yang Zhou, Chaoyang Chen, et al.
Array (2023) Vol. 17, pp. 100277-100277
Open Access | Times Cited: 11
Shoulder Motion Intention Detection Through Myoelectric Pattern Recognition
Andrea Tigrini, Luca Alberto Pettinari, Federica Verdini, et al.
IEEE Sensors Letters (2021) Vol. 5, Iss. 8, pp. 1-4
Closed Access | Times Cited: 20
Machine Learning for Detection of Muscular Activity from Surface EMG Signals
Francesco Di Nardo, Antonio Nocera, Alessandro Cucchiarelli, et al.
Sensors (2022) Vol. 22, Iss. 9, pp. 3393-3393
Open Access | Times Cited: 15
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