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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:

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

Showing 1-25 of 41 citing articles:

Surface Electromyography and Artificial Intelligence for Human Activity Recognition—A Systematic Review on Methods, Emerging Trends Applications, Challenges, and Future Implementation
Gundala Jhansi Rani, Mohammad Farukh Hashmi, Aditya Gupta
IEEE Access (2023) Vol. 11, pp. 105140-105169
Open Access | Times Cited: 25
Hand gesture classification framework leveraging the entropy features from sEMG signals and VMD augmented multi-class SVM
T. Prabhavathy, Vinodh Kumar Elumalai, E Balaji
Expert Systems with Applications (2023) Vol. 238, pp. 121972-121972
Closed Access | Times Cited: 22
Optimized k-nearest neighbors for classification of prosthetic hand movements using electromyography signal
Padmini Sahu, Bikesh Kumar Singh, Neelamshobha Nirala
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108390-108390
Closed Access | Times Cited: 5
Wireless, Wrist‐Worn Ultraconformal Neuromuscular Interfaces for Thumb‐Controlled Immersive Human–Machine Interactions
Chengjun Wang, Hong Wei, Yidong Deng, et al.
Advanced Functional Materials (2025)
Closed Access
A Fast and Low-Impact Embedded Orientation Correction Algorithm for Hand Gesture Recognition Armbands
Andrea Mongardi, Fábio Rossi, Andrea Prestia, et al.
Sensors (2025) Vol. 25, Iss. 7, pp. 2188-2188
Open Access
A survey on hand gesture recognition based on surface electromyography: Fundamentals, methods, applications, challenges and future trends
Sike Ni, Mohammed A. A. Al‐qaness, Ammar Hawbani, et al.
Applied Soft Computing (2024) Vol. 166, pp. 112235-112235
Closed Access | Times Cited: 4
Does exerting grasps involve a finite set of muscle patterns? A study of intra- and intersubject variability of forearm sEMG signals in seven grasp types
Néstor J. Jarque-Bou, Margarita Vergara, Joaquín L. Sancho-Bru
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 1505-1514
Open Access | Times Cited: 3
Single Lead EMG signal to Control an Upper Limb Exoskeleton Using Embedded Machine Learning on Raspberry Pi
Triwiyanto Triwiyanto, Wahyu Caesarendra, Vugar Abdullayev, et al.
Journal of Robotics and Control (JRC) (2023) Vol. 4, Iss. 1, pp. 35-45
Open Access | Times Cited: 8
Toward Early and Objective Hand Osteoarthritis Detection by Using EMG during Grasps
Néstor J. Jarque-Bou, Verónica Gracia-Ibáñez, Alba Roda-Sales, et al.
Sensors (2023) Vol. 23, Iss. 5, pp. 2413-2413
Open Access | Times Cited: 6
Low-Density sEMG-Based Pattern Recognition of Unrelated Movements Rejection for Wrist Joint Rehabilitation
Dongdong Bu, Shuxiang Guo, Jin Guo, et al.
Micromachines (2023) Vol. 14, Iss. 3, pp. 555-555
Open Access | Times Cited: 5
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
Ensemble of Multimodal Deep Learning Models for Violin Bowing Techniques Classification
Zain Muhammed, Nagamanoj Karunakaran, Pranamya P. Bhat, et al.
Journal of Advances in Information Technology (2024) Vol. 15, Iss. 1, pp. 40-48
Open Access | Times Cited: 1
Use of a Wearable Electromyography Armband to Detect Lift-Lower Tasks and Classify Hand Loads
Sakshi Taori, Sol Lim
SSRN Electronic Journal (2024)
Closed Access | Times Cited: 1
Use of a wearable electromyography armband to detect lift-lower tasks and classify hand loads
Sakshi Taori, Sol Lim
Applied Ergonomics (2024) Vol. 119, pp. 104285-104285
Closed Access | Times Cited: 1
A novel procedure to automate the removal of PLI and motion artifacts using mode decomposition to enhance pattern recognition of sEMG signals for myoelectric control of prosthesis
Pratap Kumar Koppolu, Krishnan Chemmangat
Biomedical Physics & Engineering Express (2024) Vol. 10, Iss. 6, pp. 065013-065013
Closed Access | Times Cited: 1
An Ensemble of Long Short-Term Memory Networks with an Attention Mechanism for Upper Limb Electromyography Signal Classification
Naif D. Alotaibi, Hadi Jahanshahi, Qijia Yao, et al.
Mathematics (2023) Vol. 11, Iss. 18, pp. 4004-4004
Open Access | Times Cited: 3
Electromyography based hand movement classification and feature extraction using machine learning algorithms
Ekin Ekıncı, Zeynep Garip, Kasım Serbest
Journal of Polytechnic (2023) Vol. 26, Iss. 4, pp. 1621-1633
Open Access | Times Cited: 2
Semi-supervised sparse representation collaborative clustering of incomplete data
Tingquan Deng, Jingyu Wang, Qingwei Jia, et al.
Applied Intelligence (2023) Vol. 53, Iss. 24, pp. 31077-31105
Closed Access | Times Cited: 2
A new fractional fuzzy dispersion entropy and its application in muscle fatigue detection
Baohua Hu, Yong Wang, Jingsong Mu
Mathematical Biosciences & Engineering (2023) Vol. 21, Iss. 1, pp. 144-169
Open Access | Times Cited: 2
Comparison product of muscle contraction strength measuring device based on specifications and its uses
Rizal Mustofa, Budi Setiyana, Hari Peni Julianti, et al.
Wearable Technology (2024) Vol. 4, Iss. 1, pp. 2384-2384
Open Access
Development and Validation of a Dry Electrode Array for sEMG Recording and Hand Movement Recognition
Cinthya Lourdes Toledo-Peral, Ana Isabel Martín-Vignon-Whaley, Jorge A. Mercado-Gutiérrez, et al.
Ingeniería e Investigación (2024) Vol. 44, Iss. 1, pp. e106558-e106558
Open Access
Non-visual Effects Driven Fatigue Level Recognition Method for Enclosed Space Workers
Xian Zhang, Yuan Feng, Jingluan Wang, et al.
Lecture notes in computer science (2024), pp. 172-185
Closed Access
Continuous reach-to-grasp motion recognition based on an extreme learning machine algorithm using sEMG signals
Cristian David Guerrero-Méndez, Alberto López-Delis, Cristian Felipe Blanco-Díaz, et al.
Physical and Engineering Sciences in Medicine (2024)
Closed Access
Movements classification system for transhumeral amputees using myoelectric signals
Édgar Francisco Arcos Hurtado, Leonardo Antonio Bermeo Varón, Milton Sarria-Paja, et al.
Biomedical Signal Processing and Control (2024) Vol. 98, pp. 106776-106776
Open Access
Comparative Analysis of Hand Movements: A Research Study of Individual with Brachial Plexus Palsy
Emilija Stanković, Deni Marček
(2024) Vol. 64, pp. 1-6
Closed Access
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