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:

Worker’s physical fatigue classification using neural networks
Elena Escobar-Linero, Manuel Domínguez-Morales, José Luis Sevillano
Expert Systems with Applications (2022) Vol. 198, pp. 116784-116784
Open Access | Times Cited: 34

Showing 26-50 of 34 citing articles:

Investigation of Fatigue and Drowsiness of Welders and Goldsmiths Based on Entropies and Complexity Parameters of EOGs: A Statistical Approach
Ashis Kumar Das, Prashant Kumar, Suman Halder
Journal of The Institution of Engineers (India) Series B (2024)
Closed Access

A new look at the occupational fatigue challenge in the future of ergonomics research
Neda Mahdavi, Imán Dianat
Work (2024), pp. 1-3
Closed Access

Design and Development of a Sensorised Sports Waistcoat
Javier Vicente-García, Luis Muñoz-Saavedra, Manuel Domínguez-Morales
Springer Proceedings in Materials (2024), pp. 433-442
Closed Access

Optimized Machine Learning Classifiers for Symptom-Based Disease Screening
Auba Fuster-Palà, Francisco Luna-Perejón, Lourdes Miró-Amarante, et al.
Computers (2024) Vol. 13, Iss. 9, pp. 233-233
Open Access

Manufacturing workers fatigue: an exploratory study on predictive machine learning and cross-subject generalization with implications for work design
Christos Emmanouilidis, Elias Montini, Vincenzo Cutrona, et al.
IFAC-PapersOnLine (2024) Vol. 58, Iss. 19, pp. 557-562
Open Access

Perspective Chapter: Internet of Things in Healthcare – New Trends, Challenges and Hurdles
Luis Muñoz-Saavedra, Francisco Luna-Perejón, Javier Civit-Masot, et al.
IntechOpen eBooks (2022)
Open Access | Times Cited: 1

Small Data, Big Challenges: Pitfalls and Strategies for Machine Learning in Fatigue Detection
André Jeworutzki, Jan Schwarzer, Kai von Luck, et al.
(2023), pp. 364-373
Closed Access

Deep Learning Approach to Cervical Cancer Classification
Manuel Domínguez-Morales, Francisco Luna-Perejón, Javier Civit-Masot, et al.
SSRN Electronic Journal (2022)
Closed Access

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