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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:

Are armband sEMG devices dense enough for long-term use?—Sensor placement shifts cause significant reduction in recognition accuracy
Suguru Kanoga, Atsunori Kanemura, Hideki Asoh
Biomedical Signal Processing and Control (2020) Vol. 60, pp. 101981-101981
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Emerging Wearable Interfaces and Algorithms for Hand Gesture Recognition: A Survey
Shuo Jiang, Peiqi Kang, Xinyu Song, et al.
IEEE Reviews in Biomedical Engineering (2021) Vol. 15, pp. 85-102
Closed Access | Times Cited: 142
Advances and Disturbances in sEMG-Based Intentions and Movements Recognition: A Review
Hao Xu, Anbin Xiong
IEEE Sensors Journal (2021) Vol. 21, Iss. 12, pp. 13019-13028
Closed Access | Times Cited: 75
Real-Time Classification of EMG Myo Armband Data Using Support Vector Machine
Cengiz Tepe, Mehmet Can DEMİR
IRBM (2022) Vol. 43, Iss. 4, pp. 300-308
Closed Access | Times Cited: 40
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
An optimized electrode configuration for wrist wearable EMG-based hand gesture recognition using machine learning
Kartik Prakash, Nissan Kunju
Expert Systems with Applications (2025) Vol. 274, pp. 127040-127040
Closed Access
Leveraging deep feature learning for wearable sensors based handwritten character recognition
Shashank Singh, Amrita Chaturvedi
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104198-104198
Closed Access | Times Cited: 19
Semi-supervised style transfer mapping-based framework for sEMG-based pattern recognition with 1- or 2-DoF forearm motions
Suguru Kanoga, Takayuki Hoshino, Hideki Asoh
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102817-102817
Open Access | Times Cited: 23
Classification of surface electromyography and gyroscopic signals of finger gestures acquired by Myo armband using machine learning methods
Cengiz Tepe, Muhammed Erdim
Biomedical Signal Processing and Control (2022) Vol. 75, pp. 103588-103588
Closed Access | Times Cited: 18
Effects of Training and Calibration Data on Surface Electromyogram-Based Recognition for Upper Limb Amputees
Pan Yao, Kaifeng Wang, Weiwei Xia, et al.
Sensors (2024) Vol. 24, Iss. 3, pp. 920-920
Open Access | Times Cited: 3
Reduce System Redundancy and Optimize Sensor Disposition for EMG–IMU Multimodal Fusion Human–Machine Interfaces With XAI
Peiqi Kang, Jinxuan Li, Shuo Jiang, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 72, pp. 1-9
Closed Access | Times Cited: 15
On the Use of Fuzzy and Permutation Entropy in Hand Gesture Characterization from EMG Signals: Parameters Selection and Comparison
Alessandro Mengarelli, Andrea Tigrini, Sandro Fioretti, et al.
Applied Sciences (2020) Vol. 10, Iss. 20, pp. 7144-7144
Open Access | Times Cited: 22
A reliable and efficient machine learning pipeline for american sign language gesture recognition using EMG sensors
Shashank Singh, Amrita Chaturvedi
Multimedia Tools and Applications (2022) Vol. 82, Iss. 15, pp. 23833-23871
Closed Access | Times Cited: 13
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
Unsupervised Domain Adaptation for Gesture Identification Against Electrode Shift
Patrick P. K. Chan, Qiuxia Li, Yinfeng Fang, et al.
IEEE Transactions on Human-Machine Systems (2022) Vol. 52, Iss. 6, pp. 1271-1280
Closed Access | Times Cited: 10
An Ensemble Machine Learning Technique for Detection of Abnormalities in Knee Movement Sustainability
Hunish Bansal, Basavraj Chinagundi, Prashant Singh Rana, et al.
Sustainability (2022) Vol. 14, Iss. 20, pp. 13464-13464
Open Access | Times Cited: 9
Towards Zero Retraining for Multiday Motion Recognition via a Fully Unsupervised Adaptive Approach and Fabric Myoelectric Armband
Hui Wang, Pingao Huang, Tinghan Xu, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 217-225
Open Access | Times Cited: 8
Muscle Engagement Monitoring Using Self-Adhesive Elastic Nanocomposite Fabrics
Yunan Lin, Yash Mhaskar, Amy Silder, et al.
Sensors (2022) Vol. 22, Iss. 18, pp. 6768-6768
Open Access | Times Cited: 8
Human–robot interface based on sEMG envelope signal for the collaborative wearable robot
Ziyu Liao, Bai Chen, Dongming Bai, et al.
Biomimetic Intelligence and Robotics (2022) Vol. 3, Iss. 1, pp. 100079-100079
Open Access | Times Cited: 8
From Unstable Electrode Contacts to Reliable Control: A Deep Learning Approach for HD-sEMG in Neurorobotics
Eion Tyacke, Kunal Gupta, Jay Patel, et al.
(2024), pp. 7874-7879
Closed Access | Times Cited: 1
An efficient multi-modal sensors feature fusion approach for handwritten characters recognition using Shapley values and deep autoencoder
Shashank Singh, Amrita Chaturvedi
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109225-109225
Closed Access | Times Cited: 1
Novel Biometric Approach Based on Diaphragmatic Respiratory Movements Using Single-Lead EMG Signals
Beyza Eraslan, Kutlucan Görür, Feyzullah Temurtaş
IETE Journal of Research (2023) Vol. 69, Iss. 8, pp. 4872-4893
Closed Access | Times Cited: 4
EMG-based hand gesture classifier robust to daily variation: Recursive domain adversarial neural network with data synthesis
Donghee Lee, Dayoung You, Gyoungryul Cho, et al.
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105600-105600
Closed Access | Times Cited: 4
The effects of the number of channels and gyroscopic data on the classification performance in EMG data acquired by Myo armband
Cengiz Tepe, Mehmet Can DEMİR
Journal of Computational Science (2021) Vol. 51, pp. 101348-101348
Closed Access | Times Cited: 9
Across Sessions and Subjects Domain Adaptation for Building Robust Myoelectric Interface
Wei Li, Xinran Zhang, Ping Shi, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 32, pp. 2005-2015
Open Access | Times Cited: 3
Effect of the sEMG electrode (re)placement and feature set size on the hand movement recognition
Nadica Miljković, Milica Isaković
Biomedical Signal Processing and Control (2020) Vol. 64, pp. 102292-102292
Open Access | Times Cited: 6
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