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:

FMG Versus EMG: A Comparison of Usability for Real-Time Pattern Recognition Based Control
Alex Belyea, Kevin Englehart, Erik Scheme
IEEE Transactions on Biomedical Engineering (2019) Vol. 66, Iss. 11, pp. 3098-3104
Closed Access | Times Cited: 44

Showing 1-25 of 44 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

A Review of Force Myography Research and Development
Zhen Gang Xiao, Carlo Menon
Sensors (2019) Vol. 19, Iss. 20, pp. 4557-4557
Open Access | Times Cited: 116

A Review of EMG-, FMG-, and EIT-Based Biosensors and Relevant Human–Machine Interactivities and Biomedical Applications
Zhuo Zheng, Zinan Wu, Runkun Zhao, et al.
Biosensors (2022) Vol. 12, Iss. 7, pp. 516-516
Open Access | Times Cited: 44

A survey on the state of the art of force myography technique (FMG): analysis and assessment
Omar Sherif, M.M. Bassuoni, Omar Mehrez
Medical & Biological Engineering & Computing (2024) Vol. 62, Iss. 5, pp. 1313-1332
Open Access | Times Cited: 8

Force myography controlled multifunctional hand prosthesis for upper-limb amputees
Alok Prakash, Ajay Kumar Sahi, Neeraj Sharma, et al.
Biomedical Signal Processing and Control (2020) Vol. 62, pp. 102122-102122
Closed Access | Times Cited: 45

Ultrasound as a Neurorobotic Interface: A Review
Xingchen Yang, Claudio Castellini, Dario Farina, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2024) Vol. 54, Iss. 6, pp. 3534-3546
Closed Access | Times Cited: 5

Force Myography Shows Higher Correlation to Force Output Compared to Average Rectified Value Electromyography Features
Marek Sierotowicz, Claudio Castellini, Khairul Anam
Biosystems & biorobotics (2025), pp. 627-631
Closed Access

A Cost-Effective System for EMG/MMG Signal Acquisition
Jerzy S. Witkowski, Andrzej Grobelny
Electronics (2025) Vol. 14, Iss. 7, pp. 1468-1468
Open Access

Continuous motion finger joint angle estimation utilizing hybrid sEMG-FMG modality driven transformer-based deep learning model
Zhouping Chen, Hong Wang, Haonan Chen, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 105030-105030
Closed Access | Times Cited: 11

Control Methods for Transradial Prostheses Based on Remnant Muscle Activity and Its Relationship with Proprioceptive Feedback
Stefan Grushko, Tomáš Spurný, Martin Černý
Sensors (2020) Vol. 20, Iss. 17, pp. 4883-4883
Open Access | Times Cited: 29

A smart approach to EMG envelope extraction and powerful denoising for human–machine interfaces
Daniele Esposito, Jessica Centracchio, Paolo Bifulco, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 8

sEMG-Based Upper Limb Movement Classifier: Current Scenario and Upcoming Challenges
Maurício Cagliari Tosin, Juliano Costa Machado, Alexandre Balbinot
Journal of Artificial Intelligence Research (2022) Vol. 75, pp. 83-127
Open Access | Times Cited: 12

A Novel Motion Recognition Method Based on Force Myography of Dynamic Muscle Contractions
Xiangxin Li, Yue Zheng, Yan Liu, et al.
Frontiers in Neuroscience (2022) Vol. 15
Open Access | Times Cited: 12

Wearable Iontronic FMG for Classification of Muscular Locomotion
Peikai Zou, Yaxin Wang, Huaxuan Cai, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 7, pp. 2854-2863
Closed Access | Times Cited: 11

Feasibility of force myography for the direct control of an assistive robotic hand orthosis in non-impaired individuals
Jessica Gantenbein, Chakaveh Ahmadizadeh, Oliver Heeb, et al.
Journal of NeuroEngineering and Rehabilitation (2023) Vol. 20, Iss. 1
Open Access | Times Cited: 6

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

Localization accuracy of multiple magnets in a myokinetic control interface
Marta Gherardini, Francesco Clemente, Stefano Milici, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 15

A Way of Bionic Control Based on EI, EMG, and FMG Signals
Andrey Briko, Vladislava Kapravchuk, Alexander Kobelev, et al.
Sensors (2021) Vol. 22, Iss. 1, pp. 152-152
Open Access | Times Cited: 15

Investigation on the Sampling Frequency and Channel Number for Force Myography Based Hand Gesture Recognition
Guangtai Lei, Shenyilang Zhang, Yinfeng Fang, et al.
Sensors (2021) Vol. 21, Iss. 11, pp. 3872-3872
Open Access | Times Cited: 12

Toward Long-Term FMG Model-Based Estimation of Applied Hand Force in Dynamic Motion During Human–Robot Interactions
Umme Zakia, Carlo Menon
IEEE Transactions on Human-Machine Systems (2021) Vol. 51, Iss. 4, pp. 310-323
Closed Access | Times Cited: 12

Improving the Robustness of Human-Machine Interactive Control for Myoelectric Prosthetic Hand During Arm Position Changing
Ang Ke, Jian Huang, Jing Wang, et al.
Frontiers in Neurorobotics (2022) Vol. 16
Open Access | Times Cited: 8

Offline Evaluation Matters: Investigation of the Influence of Offline Performance on Real-Time Operation of Electromyography-Based Neural-Machine Interfaces
Robert Hinson, Joseph Berman, William Filer, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 31, pp. 680-689
Open Access | Times Cited: 8

Electroencephalography Reflects User Satisfaction in Controlling Robot Hand through Electromyographic Signals
Hyeonseok Kim, Makoto Miyakoshi, Yeong‐Dae Kim, et al.
Sensors (2022) Vol. 23, Iss. 1, pp. 277-277
Open Access | Times Cited: 7

Automated Biosignal Quality Analysis of Electrocardiograms
Mohamed Abdelazez, Sreeraman Rajan, Adrian D. C. Chan
IEEE Instrumentation & Measurement Magazine (2021) Vol. 24, Iss. 2, pp. 37-44
Closed Access | Times Cited: 9

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