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:

Teleoperated robotic arm movement using electromyography signal with wearable Myo armband
Hussein F. Hassan, Sadiq J. Abou-Loukh, Ibraheem Kasim Ibraheem
Journal of King Saud University - Engineering Sciences (2019) Vol. 32, Iss. 6, pp. 378-387
Open Access | Times Cited: 61

Showing 1-25 of 61 citing articles:

Real-Time EMG Based Pattern Recognition Control for Hand Prostheses: A Review on Existing Methods, Challenges and Future Implementation
Nawadita Parajuli, Neethu Sreenivasan, Paolo Bifulco, et al.
Sensors (2019) Vol. 19, Iss. 20, pp. 4596-4596
Open Access | Times Cited: 253
Real-Time Hand Gesture Recognition Using Surface Electromyography and Machine Learning: A Systematic Literature Review
Andres G. Jaramillo, Marco E. Benalcázar, Elisa Mena-Maldonado
Sensors (2020) Vol. 20, Iss. 9, pp. 2467-2467
Open Access | Times Cited: 187
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: 41
EMG Dataset for Gesture Recognition with Arm Translation
Iris Kyranou, Katarzyna Szymaniak, Kianoush Nazarpour
Scientific Data (2025) Vol. 12, Iss. 1
Open Access | Times Cited: 1
A Multi-Window Majority Voting Strategy to Improve Hand Gesture Recognition Accuracies Using Electromyography Signal
Md Ferdous Wahid, Reza Tafreshi, Reza Langari
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2019) Vol. 28, Iss. 2, pp. 427-436
Closed Access | Times Cited: 65
Review of sEMG for Robot Control: Techniques and Applications
Tao Song, Zhe Yan, Shuai Guo, et al.
Applied Sciences (2023) Vol. 13, Iss. 17, pp. 9546-9546
Open Access | Times Cited: 19
A Robotic Teleoperation System Enhanced by Augmented Reality for Natural Human–Robot Interaction
Xingchao Wang, Shuqi Guo, Zijian Xu, et al.
Cyborg and Bionic Systems (2024) Vol. 5
Open Access | Times Cited: 7
Development of six-degree-of-freedom prosthetic hand with integrated voice and electromyography control using machine learning
Fariha Shabbir, Muzzaffar Iqbal, Asghar Ali, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 142, pp. 109949-109949
Closed Access
Temporal Dilation of Deep LSTM for Agile Decoding of sEMG: Application in Prediction of Upper-Limb Motor Intention in NeuroRobotics
Tianyun Sun, Qin Hu, Paras Gulati, et al.
IEEE Robotics and Automation Letters (2021) Vol. 6, Iss. 4, pp. 6212-6219
Open Access | Times Cited: 31
Deep Heterogeneous Dilation of LSTM for Transient-Phase Gesture Prediction Through High-Density Electromyography: Towards Application in Neurorobotics
Tianyun Sun, Qin Hu, Jacqueline Libby, et al.
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 2, pp. 2851-2858
Open Access | Times Cited: 17
EMG Characterization and Processing in Production Engineering
Manuel del Olmo, Rosario Domingo
Materials (2020) Vol. 13, Iss. 24, pp. 5815-5815
Open Access | Times Cited: 27
Sensor Fusion-Based Teleoperation Control of Anthropomorphic Robotic Arm
Xiaolong Yang, Fu‐Rong Chen, Feilong Wang, et al.
Biomimetics (2023) Vol. 8, Iss. 2, pp. 169-169
Open Access | Times Cited: 6
Hands-Free: a robot augmented reality teleoperation system
Cristina Nuzzi, Stefano Ghidini, Roberto Pagani, et al.
(2020), pp. 617-624
Closed Access | Times Cited: 16
A Machine Learning Processing Pipeline for Reliable Hand Gesture Classification of FMG Signals with Stochastic Variance
Mohammed Asfour, Carlo Menon, Xianta Jiang
Sensors (2021) Vol. 21, Iss. 4, pp. 1504-1504
Open Access | Times Cited: 15
Perspective Chapter: Classification of Grasping Gestures for Robotic Hand Prostheses Using Deep Neural Networks
Ruthber Rodríguez Serrezuela, Enrique Marañón Reyes, Roberto Sagaró Zamora, et al.
IntechOpen eBooks (2023)
Open Access | Times Cited: 5
Mapping Three Electromyography Signals Generated by Human Elbow and Shoulder Movements to Two Degree of Freedom Upper-Limb Robot Control
Pringgo Widyo Laksono, Kojiro Matsushita, Muhammad Syaiful Amri bin Suhaimi, et al.
Robotics (2020) Vol. 9, Iss. 4, pp. 83-83
Open Access | Times Cited: 14
Minimum Mapping from EMG Signals at Human Elbow and Shoulder Movements into Two DoF Upper-Limb Robot with Machine Learning
Pringgo Widyo Laksono, Takahide Kitamura, Joseph Muguro, et al.
Machines (2021) Vol. 9, Iss. 3, pp. 56-56
Open Access | Times Cited: 12
The LIBRA NeuroLimb: Hybrid Real-Time Control and Mechatronic Design for Affordable Prosthetics in Developing Regions
Alonso A. Cifuentes-Cuadros, Enzo Romero, Sebastian Caballa, et al.
Sensors (2023) Vol. 24, Iss. 1, pp. 70-70
Open Access | Times Cited: 4
A Deep Learning Sequential Decoder for Transient High-Density Electromyography in Hand Gesture Recognition Using Subject-Embedded Transfer Learning
Golara Ahmadi Azar, Qin Hu, Melika Emami, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 9, pp. 14778-14791
Closed Access | Times Cited: 1
Improving sEMG-Based Hand Gesture Recognition through Optimizing Parameters and Sliding Voting Classifiers
Ming Zhang, Shizhao Liu, Xiao Li, et al.
Electronics (2024) Vol. 13, Iss. 7, pp. 1322-1322
Open Access | Times Cited: 1
Wearable Inertial Sensor-Based Hand-Guiding Gestures Recognition Method Robust to Significant Changes in the Body-Alignment of Subject
Haneul Jeon, Haegyeom Choi, Donghyeon Noh, et al.
Mathematics (2022) Vol. 10, Iss. 24, pp. 4753-4753
Open Access | Times Cited: 7
A Controllable Biomimetic SMA-actuated Robotic Arm
Alireza Golgouneh, Brad Holschuh, Lucy E. Dunne
2022 9th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob) (2020), pp. 152-157
Closed Access | Times Cited: 9
Design and multichannel electromyography system-based neural network control of a low-cost myoelectric prosthesis hand
Saygin Siddiq Ahmed, Ahmed R. J. Almusawi, Bülent Yılmaz, et al.
Mechanical sciences (2021) Vol. 12, Iss. 1, pp. 69-83
Open Access | Times Cited: 9
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
Features selection for estimating hand gestures based on electromyography signals
Raghad R. Essa, Hanadi Abbas Jaber, Abbas A. Jasim
Bulletin of Electrical Engineering and Informatics (2023) Vol. 12, Iss. 4, pp. 2087-2094
Open Access | Times Cited: 3
Page 1 - Next Page

Scroll to top