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:

Industry 4.0 Lean Shopfloor Management Characterization Using EEG Sensors and Deep Learning
Daniel Schmidt, Javier Villalba-Díez, Joaquín Ordieres‐Meré, et al.
Sensors (2020) Vol. 20, Iss. 10, pp. 2860-2860
Open Access | Times Cited: 34

Showing 26-50 of 34 citing articles:

A Review of HRV and EEG Technology Applications in Industry 5.0: Emphasising Manufacturing Efficiency and Worker Well-Being
Saranjuu Chulakit, Amirul Syafiq Sadun, Nor Anija Jalaludin, et al.
International Journal of Integrated Engineering (2024) Vol. 16, Iss. 5
Open Access

Manufacturing floor mapping and presence tracking with a physics-based game engine
John Osho, Esther Akinrinde, Carson Tillery, et al.
Manufacturing Letters (2024) Vol. 41, pp. 1464-1475
Closed Access

Thermal discomfort in the workplace: measurement through the combined use of wearable sensors and machine learning algorithms
Silvia Angela Mansi, Gloria Cosoli, Anna Laura Pisello, et al.
(2022), pp. 54-59
Closed Access | Times Cited: 2

The Automation of Lean Practices: Digitalized or Digitally Wasted?
Jamila Alieva, Daryl Powell
IFIP advances in information and communication technology (2021), pp. 651-661
Open Access | Times Cited: 2

The Duo of Artificial Intelligence and Big Data for Industry 4.0: Review of Applications, Techniques, Challenges, and Future Research Directions.
Senthil Kumar Jagatheesaperumal, Mohamed Rahouti, Kashif Ahmad, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 1

Deep Learning Neural Networks for Forecasting the Abrasive Wear in Machining Tools for Cryogenic Treatment by Process Parameter Optimization
K. Sujatha, N. P. G. Bhavani, N. Ethiraj, et al.
Lecture notes in networks and systems (2023), pp. 11-19
Closed Access

Neuroscienze, intelligence computing e organizzazioni 4.0: una rivoluzione?
Davide Crivelli, Federico Cassioli, Michela Balconi
Studi e ricerche (2020)
Open Access

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