Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

sEMG-Based Trunk Compensation Detection in Rehabilitation Training
Ke Ma, Yan Chen, Xiaoya Zhang, et al.
Frontiers in Neuroscience (2019) Vol. 13
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Predicting Discharge to Institutional Long‐Term Care After Stroke: A Systematic Review and Metaanalysis
Jennifer Burton, E. Ferguson, Amanda Barugh, et al.
Journal of the American Geriatrics Society (2017) Vol. 66, Iss. 1, pp. 161-169
Open Access | Times Cited: 63
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
Efficient Subject-Independent Detection of Anterior Cruciate Ligament Deficiency Based on Marine Predator Algorithm and Support Vector Machine
Gengyuan Wang, Xiaolong Zeng, Guanquan Lai, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 10, pp. 4936-4947
Closed Access | Times Cited: 17
Technology-Based Compensation Assessment and Detection of Upper Extremity Activities of Stroke Survivors: Systematic Review
Xiaoyi Wang, Yan Fu, Bing Ye, et al.
Journal of Medical Internet Research (2022) Vol. 24, Iss. 6, pp. e34307-e34307
Open Access | Times Cited: 16
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
Surface EMG: Applicability in the Motion Analysis and Opportunities for Practical Rehabilitation
A. M. Kotov-Smolenskiy, А. Е. Хижникова, А. С. Клочков, et al.
Human Physiology (2021) Vol. 47, Iss. 2, pp. 237-247
Closed Access | Times Cited: 22
Cross-user gesture recognition from sEMG signals using an optimal transport assisted student-teacher framework
Xinhui Li, Xu Zhang, Xiang Chen, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107327-107327
Closed Access | Times Cited: 8
Decoding muscle force from individual motor unit activities using a twitch force model and hybrid neural networks
Xinhui Li, Xu Zhang, Xiao Tang, et al.
Biomedical Signal Processing and Control (2021) Vol. 72, pp. 103297-103297
Closed Access | Times Cited: 18
Compensation-corrective adaptive control strategy for upper-limb rehabilitation robots
Siqi Cai, Peimin Xie, Guofeng Li, et al.
Robotics and Autonomous Systems (2024) Vol. 177, pp. 104701-104701
Closed Access | Times Cited: 2
Conformal, stretchable, breathable, wireless epidermal surface electromyography sensor system for hand gesture recognition and rehabilitation of stroke hand function
Kerong Yang, Senhao Zhang, Ying Yang, et al.
Materials & Design (2024) Vol. 243, pp. 113029-113029
Open Access | Times Cited: 2
A Novel Quantitative Spasticity Evaluation Method Based on Surface Electromyogram Signals and Adaptive Neuro Fuzzy Inference System
Song Yu, Yan Chen, Qing Cai, et al.
Frontiers in Neuroscience (2020) Vol. 14
Open Access | Times Cited: 16
Motion intention prediction of upper limb in stroke survivors using sEMG signal and attention mechanism
Juncheng Li, Liang Tao, Ziniu Zeng, et al.
Biomedical Signal Processing and Control (2022) Vol. 78, pp. 103981-103981
Closed Access | Times Cited: 10
Multimodal Sensing in Stroke Motor Rehabilitation
Zihe Zhao, Jiaqi Wang, Shengbo Wang, et al.
Advanced Sensor Research (2023) Vol. 2, Iss. 9
Open Access | Times Cited: 5
Inertial-Robotic Motion Tracking in End-Effector-Based Rehabilitation Robots
Arne Passon, Thomas Schauer, Thomas Seel
Frontiers in Robotics and AI (2020) Vol. 7
Open Access | Times Cited: 14
Mitigating Trunk Compensatory Movements in Post-Stroke Survivors through Visual Feedback during Robotic-Assisted Arm Reaching Exercises
Seong-Hoon Lee, Won-Kyung Song
Sensors (2024) Vol. 24, Iss. 11, pp. 3331-3331
Open Access | Times Cited: 1
A Novel Compensatory Motion Detection Method Using Multiple Signals and Machine Learning
Pengpeng Xu, Dan Xia, Bowen Zheng, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 17, pp. 17162-17172
Closed Access | Times Cited: 6
Classification of human movements with and without spinal orthosis based on surface electromyogram signals
Chenyan Wang, Xiaona Li, Yuan Guo, et al.
Medicine in Novel Technology and Devices (2022) Vol. 16, pp. 100165-100165
Closed Access | Times Cited: 6
Inter-subject prediction of pediatric emergence delirium using feature selection and classification from spontaneous EEG signals
Peng Xiao, Ke Ma, Li Gu, et al.
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104359-104359
Open Access | Times Cited: 6
Compensatory movement detection by using near-infrared spectroscopy technology based on signal improvement method
Xiang Chen, YinJin Shao, Zou Linfeng, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 3
Online detection of compensatory strategies in human movement with supervised classification: a pilot study
Neha Das, Satoshi Endo, Sabrina Patel, et al.
Frontiers in Neurorobotics (2023) Vol. 17
Open Access | Times Cited: 3
Trunk compensation electromyography features purification and classification model using generative adversarial network
Yan Chen, Ke Ma, Lie Yang, et al.
Biomedical Signal Processing and Control (2020) Vol. 65, pp. 102345-102345
Closed Access | Times Cited: 8
Electromyographic Analyses of Trunk Musculature after Stroke: An Integrative Review
Suzanne Babyar, T J Holland, Daniel Rothbart, et al.
Topics in Stroke Rehabilitation (2021) Vol. 29, Iss. 5, pp. 366-381
Closed Access | Times Cited: 8
Compensatory Movement Detection in Upper Limb Rehabilitation With Deep Learning Methods
Javad Khoramdel, Ahmad Moori, Majid M. Moghaddam, et al.
2022 10th RSI International Conference on Robotics and Mechatronics (ICRoM) (2021), pp. 465-471
Closed Access | Times Cited: 8
Muscle Activation Visualization System Using Adaptive Assessment and Forces-EMG Mapping
Xuyang Wei, Yan Chen, Xueyu Jia, et al.
IEEE Access (2021) Vol. 9, pp. 46374-46385
Open Access | Times Cited: 6
Exploring the effects of body weight support systems on lower limb kinematics and muscle characteristics
Biao Liu, Shuoyu Li, Binghong Liang, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104947-104947
Closed Access | Times Cited: 2
Page 1 - Next Page

Scroll to top