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:

ECG-Based Stress Detection and Productivity Factors Monitoring: The Real-Time Production Factory System
Massimiliano Donati, Martina Olivelli, Romano Giovannini, et al.
Sensors (2023) Vol. 23, Iss. 12, pp. 5502-5502
Open Access | Times Cited: 7

Showing 7 citing articles:

Non-Invasive Biosensing for Healthcare Using Artificial Intelligence: A Semi-Systematic Review
Tanvir Islam, Peter Washington
Biosensors (2024) Vol. 14, Iss. 4, pp. 183-183
Open Access | Times Cited: 7

A Deep Learning-Based Platform for Workers’ Stress Detection Using Minimally Intrusive Multisensory Devices
Gabriele Rescio, Andrea Manni, Marianna Ciccarelli, et al.
Sensors (2024) Vol. 24, Iss. 3, pp. 947-947
Open Access | Times Cited: 4

A Survey on Sensor-Based Techniques for Continuous Stress Monitoring in Knowledge Work Environments
ML Tlachac, Elena Vildjiounaite, Jaakko Tervonen, et al.
ACM Transactions on Computing for Healthcare (2025)
Closed Access

Detection and monitoring of stress using wearables: a systematic review
Anuja Pinge, Vinaya Gad, Dheryta Jaisighani, et al.
Frontiers in Computer Science (2024) Vol. 6
Open Access

Simulation of Productive Processes in Living Labs: A Support Tool for Decision-Making from an Ergonomic Perspective
Xiomara Pardo Bascuñán, Daniel Gálvez, Christopher Cáceres, et al.
Springer proceedings in business and economics (2024), pp. 291-299
Closed Access

Wearable network for multilevel physical fatigue prediction in manufacturing workers
Payal Mohapatra, Vasudev Aravind, Marisa Bisram, et al.
PNAS Nexus (2024) Vol. 3, Iss. 10
Open Access

Machine Learning Supporting Virtual Reality and Brain–Computer Interface to Assess Work–Life Balance Conditions for Employees
Dariusz Mikołajewski, Adrianna Piszcz, Izabela Rojek, et al.
Electronics (2024) Vol. 13, Iss. 22, pp. 4489-4489
Open Access

Page 1

Scroll to top