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:

A Novel Interpretation of Sample Entropy in Surface Electromyographic Examination of Complex Neuromuscular Alternations in Subacute and Chronic Stroke
Xiao Tang, Xu Zhang, Xiaoping Gao, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2018) Vol. 26, Iss. 9, pp. 1878-1888
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Slope Entropy: A New Time Series Complexity Estimator Based on Both Symbolic Patterns and Amplitude Information
David Cuesta–Frau
Entropy (2019) Vol. 21, Iss. 12, pp. 1167-1167
Open Access | Times Cited: 71
Post-Stroke Dysphagia: Evaluating myoelectric alterations in swallowing muscles
Javier Imaz-Higuera, Gema Prats-Boluda, Yiyao Ye-Lin, et al.
Measurement (2025), pp. 117010-117010
Closed Access
Muscle Force Estimation Based on Neural Drive Information From Individual Motor Units
Xu Zhang, Ge Zhu, Maoqi Chen, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020) Vol. 28, Iss. 12, pp. 3148-3157
Closed Access | Times Cited: 29
Sample Entropy-Based Surface Electromyographic Examination With a Linear Electrode Array in Survivors With Spinal Cord Injury
Le Li, Xiang Wang, Bo Yao, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 2944-2952
Open Access | Times Cited: 9
Exercise Fatigue Detection Algorithm Based on Video Image Information Extraction
Fan Zhang, Feng Wang
IEEE Access (2020) Vol. 8, pp. 199696-199709
Open Access | Times Cited: 25
ECG Artifact Removal from Single-Channel Surface EMG Using Fully Convolutional Networks
Kuan-Chen Wang, Kai-Chun Liu, Sheng-Yu Peng, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023), pp. 1-5
Open Access | Times Cited: 8
Decoding finger movement patterns from microscopic neural drive information based on deep learning
Yongle Zhao, Xu Zhang, Xinhui Li, et al.
Medical Engineering & Physics (2022) Vol. 104, pp. 103797-103797
Closed Access | Times Cited: 13
Clustering index analysis on EMG-Torque relation-based representation of complex neuromuscular changes after spinal cord injury
Xiang Wang, Le Li, Yongli Wei, et al.
Journal of Electromyography and Kinesiology (2024) Vol. 76, pp. 102885-102885
Closed Access | Times Cited: 2
Improved multi-layer wavelet transform and blind source separation based ECG artifacts removal algorithm from the sEMG signal: in the case of upper limbs
Wei Lü, Dongliang Gong, Xue Xue, et al.
Frontiers in Bioengineering and Biotechnology (2024) Vol. 12
Open Access | Times Cited: 2
Comparative Review of the Algorithms for Removal of Electrocardiographic Interference from Trunk Electromyography
Lin Xu, Elisabetta Peri, Rik Vullings, et al.
Sensors (2020) Vol. 20, Iss. 17, pp. 4890-4890
Open Access | Times Cited: 20
COMPLEXITY-BASED DECODING OF THE BRAIN REACTIONS TO VISUAL STIMULI WITH DIFFERENT FREQUENCIES
Sriram Parthasarathy, KARTHIKEYAN RAJAGOPAL, ONDREJ KREJCAR, et al.
Fractals (2023) Vol. 31, Iss. 03
Open Access | Times Cited: 6
Intra-Day and Inter-Day Reliability of Measurements of the electromyographic signal on masseter and temporal muscles in patients with Down syndrome
Lílian Chrystiane Giannasi, Fabiano Politti, Marignês T. S. Dutra, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 17
Entropy-Based Surface Electromyogram Feature Extraction for Knee Osteoarthritis Classification
Xin Chen, Jun Chen, Jie Liang, et al.
IEEE Access (2019) Vol. 7, pp. 164144-164151
Open Access | Times Cited: 15
Biomechanical Assessment Methods Used in Chronic Stroke: A Scoping Review of Non-Linear Approaches
Marta Freitas, Francisco Pinho, Liliana Pinho, et al.
Sensors (2024) Vol. 24, Iss. 7, pp. 2338-2338
Open Access | Times Cited: 1
Utility of the Clustering Index method for diagnosing neuromuscular disorders as compared with needle electromyography
Takamichi Kanbayashi, Go Ogawa, Haruo Uesugi, et al.
Muscle & Nerve (2024) Vol. 70, Iss. 5, pp. 944-953
Open Access | Times Cited: 1
Estimating muscle force based on a neuromuscular decoding approach adaptive to fatigue conditions
Yunfei Liu, Haowen Zhao, Sun Yong, et al.
Biomedical Signal Processing and Control (2024) Vol. 98, pp. 106769-106769
Closed Access | Times Cited: 1
Examining and monitoring paretic muscle changes during stroke rehabilitation using surface electromyography: A pilot study
Ge Zhu, Xu Zhang, Xiao Tang, et al.
Mathematical Biosciences & Engineering (2019) Vol. 17, Iss. 1, pp. 216-234
Open Access | Times Cited: 11
Model-Based Sensitivity Analysis of EMG Clustering Index With Respect to Motor Unit Properties: Investigating Post-Stroke FDI Muscle
Xu Zhang, Xiao Tang, Zhongqing Wei, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020) Vol. 28, Iss. 8, pp. 1836-1845
Closed Access | Times Cited: 10
Evaluation of a novel real-time adaptive assist-as-needed controller for robot-assisted upper extremity rehabilitation following stroke
Ana Paula Arantes, Nadja Bressan, Ludymila Ribeiro Borges, et al.
PLoS ONE (2023) Vol. 18, Iss. 10, pp. e0292627-e0292627
Open Access | Times Cited: 3
Effects of Nonstationarity on Muscle Force Signals Regularity During a Fatiguing Motor Task
Cyril Chatain, Mathieu Gruet, Jean‐Marc Vallier, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2019) Vol. 28, Iss. 1, pp. 228-237
Closed Access | Times Cited: 9
Spatial filtering for enhanced high-density surface electromyographic examination of neuromuscular changes and its application to spinal cord injury
Xu Zhang, Xinhui Li, Xiao Tang, et al.
Journal of NeuroEngineering and Rehabilitation (2020) Vol. 17, Iss. 1
Open Access | Times Cited: 8
Decoding Muscle Force From Motor Unit Firings Using Encoder-Decoder Networks
Xiao Tang, Xu Zhang, Maoqi Chen, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2021) Vol. 29, pp. 2484-2495
Open Access | Times Cited: 8
Quantitative Assessment of Traumatic Upper-Limb Peripheral Nerve Injuries Using Surface Electromyography
Weidi Tang, Xu Zhang, Sun Yong, et al.
Frontiers in Bioengineering and Biotechnology (2020) Vol. 8
Open Access | Times Cited: 6
Towards Evaluating Pitch-Related Phonation Function in Speech Communication Using High-Density Surface Electromyography
Mingxing Zhu, Xin Wang, Hanjie Deng, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 4
SDEMG: Score-Based Diffusion Model for Surface Electromyographic Signal Denoising
Yu-Tung Liu, Kuan-Chen Wang, Kai-Chun Liu, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 1736-1740
Open Access
Page 1 - Next Page

Scroll to top