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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:

Explainable Deep Learning Model for EMG-Based Finger Angle Estimation Using Attention
Hyunin Lee, DongWook Kim, Yong‐Lae Park
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 1877-1886
Open Access | Times Cited: 22

Showing 22 citing articles:

A fully integrated, standalone stretchable device platform with in-sensor adaptive machine learning for rehabilitation
Hongcheng Xu, Weihao Zheng, Yang Zhang, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 86
Explainable and Robust Deep Forests for EMG-Force Modeling
Xinyu Jiang, Kianoush Nazarpour, Chenyun Dai
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 6, pp. 2841-2852
Open Access | Times Cited: 24
Unlocking the black box: an in-depth review on interpretability, explainability, and reliability in deep learning
Emrullah Şahin, Naciye Nur Arslan, Durmuş Özdemir
Neural Computing and Applications (2024)
Closed Access | Times Cited: 6
Deep Learning for Electromyographic Lower-Limb Motion Signal Classification Using Residual Learning
Jia-Hao Sun, Yifan Wang, Jun Hou, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 2078-2086
Open Access | Times Cited: 5
Gesture recognition from surface electromyography signals based on the SE-DenseNet network
Ying Xiang, Wei Zheng, Jiajia Tang, et al.
Biomedical Engineering / Biomedizinische Technik (2025)
Closed Access
Understandable time frame-based biosignal processing
Hamed Rafiei, Mohammad-R. Akbarzadeh-T
Biomedical Signal Processing and Control (2025) Vol. 103, pp. 107429-107429
Closed Access
MyoGPT: Augmenting and segmenting spatial muscle activation patterns in forearm using generative Pre-Trained Transformers
Wei Chen, Lihui Feng, Jihua Lu
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107591-107591
Closed Access
CGMV-EGR: A Multimodal Fusion Framework for Electromyographic Gesture Recognition
Weihao Wang, Yan Liu, Fanghao Song, et al.
Pattern Recognition (2025), pp. 111387-111387
Closed Access
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
One-shot random forest model calibration for hand gesture decoding
Xinyu Jiang, Chenfei Ma, Kianoush Nazarpour
Journal of Neural Engineering (2023) Vol. 21, Iss. 1, pp. 016006-016006
Open Access | Times Cited: 6
A Novel Hybrid Unsupervised Domain Adaptation Method for Cross-subject Joint Angle Estimation from Surface Electromyography
Long Wang, Xiaoling Li, Zhangyi Chen, et al.
IEEE Robotics and Automation Letters (2023), pp. 1-8
Closed Access | Times Cited: 4
Reply-letter to the editor
Weijia Huang, Congjun Wang, Junqiang Chen
Clinical Nutrition (2024) Vol. 43, Iss. 9, pp. 2283-2284
Closed Access | Times Cited: 1
EMGCipher: Decoding Electromyography for Upper-limb Gesture Classification with Explainable AI for Resource Optimization
Hunmin Lee, Ming Jiang, Qi Zhao
(2024), pp. 1-5
Closed Access | Times Cited: 1
A CNN-LSTM neural network model for upper limb joint angle estimation based on mechanomyograph
Zhenjiu Ma, Gangsheng Cao, Gaofeng Kang, et al.
(2024), pp. 483-489
Closed Access
A Hardware-Efficient EMG Decoder with an Attractor-based Neural Network for Next-Generation Hand Prostheses
Mohammad Kalbasi, MohammadAli Shaeri, Vincent Mendez, et al.
(2024), pp. 532-536
Closed Access
Finger Tracking Using Wrist-Worn EMG Sensors
Jiani Cao, Yang Liu, L D Han, et al.
IEEE Transactions on Mobile Computing (2024) Vol. 23, Iss. 12, pp. 14099-14110
Closed Access
a Novel Dual-Model Adaptive Continuous Learning Strategy for Wrist-sEMG Real-Time Gesture Recognition
Yuehan Liu, Ruxin Wang, Ye Li, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 4186-4196
Open Access
Embedded Machine Learning for EMG-Based Elbow Motion Recognition
Khang Hoang Vinh Nguyen, Do Xuan Phu
Lecture notes in networks and systems (2024), pp. 173-184
Closed Access
One-Shot Random Forest Model Calibration for Hand Gesture Decoding
Xinyu Jiang, Chenfei Ma, Kianoush Nazarpour
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Deep Scattering Transform with Attention Mechanisms Improves EMG-based Hand Gesture Recognition
Ahmed A. Al Taee, Rami N. Khushaba, Tanveer Zia, et al.
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2023), pp. 1-4
Closed Access
Limitations of Current Measurement Method of Surface Electromyography for Continuous Finger Angle Estimation
Sung-ho Jin, Heedong Sim, Seok‐Jo Yang
(2023)
Closed Access
Table of Contents

IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. i-xiii
Open Access
Page 1

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