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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:

Fatigue Monitoring Through Wearables: A State-of-the-Art Review
Neusa R. Adão Martins, Simon Annaheim, Christina M. Spengler, et al.
Frontiers in Physiology (2021) Vol. 12
Open Access | Times Cited: 80

Showing 1-25 of 80 citing articles:

Identifying mental fatigue of construction workers using EEG and deep learning
Yao Wang, Yuecheng Huang, Botao Gu, et al.
Automation in Construction (2023) Vol. 151, pp. 104887-104887
Closed Access | Times Cited: 64
Metaverse Wearables for Immersive Digital Healthcare: A Review
Kisoo Kim, Hyosill Yang, Ji-Hun Lee, et al.
Advanced Science (2023) Vol. 10, Iss. 31
Open Access | Times Cited: 41
E-Textiles for Sports and Fitness Sensing: Current State, Challenges, and Future Opportunities
Kai Yang, Stuart A. McErlain‐Naylor, Beckie Isaia, et al.
Sensors (2024) Vol. 24, Iss. 4, pp. 1058-1058
Open Access | Times Cited: 17
Driving drowsiness detection using spectral signatures of EEG-based neurophysiology
Saad Arif, Saba Munawar, Hashim Ali
Frontiers in Physiology (2023) Vol. 14
Open Access | Times Cited: 23
Non-invasive Techniques for Muscle Fatigue Monitoring: A Comprehensive Survey
Na Li, Rui Zhou, B. Sai Krishna, et al.
ACM Computing Surveys (2024) Vol. 56, Iss. 9, pp. 1-40
Open Access | Times Cited: 8
Technology for measuring freezing of gait: Current state of the art and recommendations
Martina Mancini, J. Lucas McKay, Helena Cockx, et al.
Journal of Parkinson s Disease (2025)
Open Access | Times Cited: 1
Modeling multiple sclerosis using mobile and wearable sensor data
Shkurta Gashi, Pietro Oldrati, Max Moebus, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 7
Examining the Landscape of Cognitive Fatigue Detection: A Comprehensive Survey
Enamul Karim, Hamza Reza Pavel, Sama Nikanfar, et al.
Technologies (2024) Vol. 12, Iss. 3, pp. 38-38
Open Access | Times Cited: 6
Beyond Supervised Learning for Pervasive Healthcare
Xiao Gu, Fani Deligianni, Jinpei Han, et al.
IEEE Reviews in Biomedical Engineering (2023) Vol. 17, pp. 42-62
Open Access | Times Cited: 13
Advancements in healthcare materials: unraveling the impact of processing techniques on biocompatibility and performance
Alok Bihari Singh, Chandni Khandelwal, G.S. Dangayach
Polymer-Plastics Technology and Materials (2024) Vol. 63, Iss. 12, pp. 1608-1644
Closed Access | Times Cited: 5
Improving dynamic endurance time predictions for shoulder fatigue: A comparative evaluation
P. A. O’SULLIVAN, Matteo Menolotto, Brendan O’Flynn, et al.
Applied Ergonomics (2025) Vol. 125, pp. 104480-104480
Open Access
Performance evaluation of an under‐mattress sleep sensor versus polysomnography in > 400 nights with healthy and unhealthy sleep
Jack Manners, Eva Kemps, Bastien Lechat, et al.
Journal of Sleep Research (2025)
Open Access
Evaluation of sweat-based biomarkers using wearable biosensors for monitoring stress and fatigue: a systematic review
Jie Ma, Heng Li, Shahnawaz Anwer, et al.
International Journal of Occupational Safety and Ergonomics (2024) Vol. 30, Iss. 3, pp. 677-703
Closed Access | Times Cited: 4
The human-factors’ challenges of (tele)drivers of Autonomous Vehicles
Anat Meir, Einat Grimberg, Oren Musicant
Ergonomics (2024), pp. 1-21
Closed Access | Times Cited: 4
Wireless ear EEG to monitor drowsiness
Ryan Kaveh, Carolyn Schwendeman, Leslie Pu, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 4
Advancing Management Development with Biofeedback 3.0: Unveiling Insights into Decision-Making via Next-Generation Markers for Cognitive Processing in Aviation and Organizational Contexts
Christian J. Kusmitsch, Helmut Unger, Patrick Schmidlechner, et al.
Technikzukünfte, Wissenschaft und Gesellschaft (2025), pp. 305-332
Closed Access
Fatigue Driving Detection Method Based on Combination of BP Neural Network and Time Cumulative Effect
Jian Chen, Ming Yan, Feng Zhu, et al.
Sensors (2022) Vol. 22, Iss. 13, pp. 4717-4717
Open Access | Times Cited: 16
Real-time forecasting of exercise-induced fatigue from wearable sensors
Yanran Jiang, Peter Malliaras, Bernard Chen, et al.
Computers in Biology and Medicine (2022) Vol. 148, pp. 105905-105905
Closed Access | Times Cited: 16
Machine Learning Approach to Model Physical Fatigue during Incremental Exercise among Firefighters
D. Bustos, Filipa Cardoso, Manoel Rios, et al.
Sensors (2022) Vol. 23, Iss. 1, pp. 194-194
Open Access | Times Cited: 15
Identification of runner fatigue stages based on inertial sensors and deep learning
Pengfei Chang, Cenyi Wang, Yiyan Chen, et al.
Frontiers in Bioengineering and Biotechnology (2023) Vol. 11
Open Access | Times Cited: 8
Management of multiple sclerosis fatigue in the digital age: from assessment to treatment
Chiara Pinarello, Julia Elmers, Hernán Inojosa, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 7
A Review of Strategies to Detect Fatigue and Sleep Problems in Aviation: Insights from Artificial Intelligence
Yan Li, Jwu‐Sheng Hu
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 2
Using Machine Learning to Identify Feelings of Energy and Fatigue in Single-Task Walking Gait: An Exploratory Study
Ahmed Mahmoud Kadry, Ahmed Ali Torad, Mostafa Ali Elwan, et al.
Applied Sciences (2022) Vol. 12, Iss. 6, pp. 3083-3083
Open Access | Times Cited: 10
A rapid, non-invasive method for fatigue detection based on voice information
Xiujie Gao, Kefeng Ma, Honglian Yang, et al.
Frontiers in Cell and Developmental Biology (2022) Vol. 10
Open Access | Times Cited: 10
EMG Signal Processing for the Study of Localized Muscle Fatigue—Pilot Study to Explore the Applicability of a Novel Method
Sandra Rodrigues, Luís Palermo de Faria, António M. Monteiro, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 20, pp. 13270-13270
Open Access | Times Cited: 9
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