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:

sEMG Bias-Driven Functional Electrical Stimulation System for Upper-Limb Stroke Rehabilitation
Yu Zhou, Yinfeng Fang, Kai Gui, et al.
IEEE Sensors Journal (2018) Vol. 18, Iss. 16, pp. 6812-6821
Open Access | Times Cited: 63

Showing 1-25 of 63 citing articles:

Intelligent Human-Computer Interaction Based on Surface EMG Gesture Recognition
Jinxian Qi, Guozhang Jiang, Gongfa Li, et al.
IEEE Access (2019) Vol. 7, pp. 61378-61387
Open Access | Times Cited: 173

Grasping force prediction based on sEMG signals
Ruyi Ma, Leilei Zhang, Gongfa Li, et al.
Alexandria Engineering Journal (2020) Vol. 59, Iss. 3, pp. 1135-1147
Open Access | Times Cited: 118

Grip strength forecast and rehabilitative guidance based on adaptive neural fuzzy inference system using sEMG
Du Jiang, Gongfa Li, Ying Sun, et al.
Personal and Ubiquitous Computing (2019) Vol. 26, Iss. 4, pp. 1215-1224
Closed Access | Times Cited: 92

Dynamic Gesture Recognition in the Internet of Things
Gongfa Li, Hao Wu, Guozhang Jiang, et al.
IEEE Access (2018) Vol. 7, pp. 23713-23724
Open Access | Times Cited: 84

Hand Gesture Recognition using Deep Feature Fusion Network based on Wearable Sensors
Guan Yuan, Xiao Liu, Qiuyan Yan, et al.
IEEE Sensors Journal (2020), pp. 1-1
Closed Access | Times Cited: 77

Decoding Simultaneous Multi-DOF Wrist Movements From Raw EMG Signals Using a Convolutional Neural Network
Wei Yang, Dapeng Yang, Yü Liu, et al.
IEEE Transactions on Human-Machine Systems (2019) Vol. 49, Iss. 5, pp. 411-420
Closed Access | Times Cited: 64

Recognition of Human Lower Limb Motion and Muscle Fatigue Status Using a Wearable FES-sEMG System
Wenbo Zhang, Ziqian Bai, Pengfei Yan, et al.
Sensors (2024) Vol. 24, Iss. 7, pp. 2377-2377
Open Access | Times Cited: 6

Toward Portable Hybrid Surface Electromyography/A-Mode Ultrasound Sensing for Human–Machine Interface
Wei Xia, Yu Zhou, Xingchen Yang, et al.
IEEE Sensors Journal (2019) Vol. 19, Iss. 13, pp. 5219-5228
Closed Access | Times Cited: 52

Visualization of activated muscle area based on sEMG
Yangwei Cheng, Gongfa Li, Jiahan Li, et al.
Journal of Intelligent & Fuzzy Systems (2019) Vol. 38, Iss. 3, pp. 2623-2634
Closed Access | Times Cited: 51

Electrotactile Feedback in a Virtual Hand Rehabilitation Platform: Evaluation and Implementation
Kairu Li, Peter Boyd, Yu Zhou, et al.
IEEE Transactions on Automation Science and Engineering (2018) Vol. 16, Iss. 4, pp. 1556-1565
Open Access | Times Cited: 34

An Assistive System for Upper Limb Motion Combining Functional Electrical Stimulation and Robotic Exoskeleton
Yansong Wang, Benjamin Metcalfe, Yanzheng Zhao, et al.
IEEE Transactions on Medical Robotics and Bionics (2020) Vol. 2, Iss. 2, pp. 260-268
Closed Access | Times Cited: 30

Robotic telemanipulation with EMG-driven strategy-assisted shared control method
Dezhen Xiong, Xin Fu, DaoHui Zhang, et al.
Science China Technological Sciences (2024)
Closed Access | Times Cited: 3

Motion estimation of elbow joint from sEMG using continuous wavelet transform and back propagation neural networks
Yanjiang Huang, Kaibin Chen, Xianmin Zhang, et al.
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102657-102657
Closed Access | Times Cited: 22

Quantitative Upper Limb Impairment Assessment for Stroke Rehabilitation: A Review
Xin Wang, Jie Zhang, Sheng Quan Xie, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 6, pp. 7432-7447
Open Access | Times Cited: 2

Effects of Whole-Body Electromyostimulation on Physical Fitness in Postmenopausal Women: A Randomized Controlled Trial
Álvaro Pano-Rodríguez, José Vicente Beltrán-Garrido, Vicenç Hernández González, et al.
Sensors (2020) Vol. 20, Iss. 5, pp. 1482-1482
Open Access | Times Cited: 20

A novel fatigue detection method for rehabilitation training of upper limb exoskeleton robot using multi-information fusion
Wendong Wang, Hanhao Li, Dezhi Kong, et al.
International Journal of Advanced Robotic Systems (2020) Vol. 17, Iss. 6
Open Access | Times Cited: 20

EMG Pattern Recognition Using Convolutional Neural Network with Different Scale Signal/Spectra Input
Wei Yang, Dapeng Yang, Yu Liu, et al.
International Journal of Humanoid Robotics (2019) Vol. 16, Iss. 04, pp. 1950013-1950013
Closed Access | Times Cited: 19

A Novel Method for Lower Limb Joint Angle Estimation Based on sEMG Signal
Pengjie Qin, Xin Shi
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-9
Closed Access | Times Cited: 13

Voluntary and FES-Induced Finger Movement Estimation Using Muscle Deformation Features
Yu Zhou, Jia Zeng, Kairu Li, et al.
IEEE Transactions on Industrial Electronics (2019) Vol. 67, Iss. 5, pp. 4002-4012
Closed Access | Times Cited: 15

A Real-Time Muscle Fatigue Detection System Based on Multifrequency EIM and sEMG for Effective NMES
Alejandro D. Fernandez Schrunder, Yu-Kai Huang, Saul Rodriguez, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 14, pp. 22553-22564
Open Access | Times Cited: 1

LiDAR-Based Hand Contralateral Controlled Functional Electrical Stimulation System
Shiman He, Shuangyuan Huang, Li Huang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 1776-1785
Open Access | Times Cited: 4

Adaptive Driver-Automation Shared Steering Control via Forearm Surface Electromyography Measurement
Zheng Wang, Satoshi Suga, Edric John Cruz Nacpil, et al.
IEEE Sensors Journal (2020) Vol. 21, Iss. 4, pp. 5444-5453
Open Access | Times Cited: 11

An Optimized Selection Method of Channel Numbers and Electrode Layouts for Hand Motion Recognition
Hua Jiang, Gongfa Li, Du Jiang, et al.
International Journal of Humanoid Robotics (2019) Vol. 16, Iss. 04, pp. 1941006-1941006
Closed Access | Times Cited: 10

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