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:

Prediction of Health-Related Leave Days among Workers in the Energy Sector by Means of Genetic Algorithms
Aroa González Fuentes, Nélida M. Busto Serrano, Fernando Sánchez Lasheras, et al.
Energies (2020) Vol. 13, Iss. 10, pp. 2475-2475
Open Access | Times Cited: 6

Showing 6 citing articles:

Deep learned recurrent type-3 fuzzy system: Application for renewable energy modeling/prediction
Yan Cao, Amir Raise, Ardashir Mohammadzadeh, et al.
Energy Reports (2021) Vol. 7, pp. 8115-8127
Open Access | Times Cited: 107

Soft computing applications in the field of human factors and ergonomics: A review of the past decade of research
Erman Çakıt, Waldemar Karwowski
Applied Ergonomics (2023) Vol. 114, pp. 104132-104132
Closed Access | Times Cited: 6

Work-related overexertion injuries in cleaning occupations: An exploration of the factors to predict the days of absence by means of machine learning methodologies
Aroa González Fuentes, Nélida M. Busto Serrano, Fernando Sánchez Lasheras, et al.
Applied Ergonomics (2022) Vol. 105, pp. 103847-103847
Open Access | Times Cited: 4

Predicting the Future-Big Data and Machine Learning
Fernando Sánchez Lasheras
Energies (2021) Vol. 14, Iss. 23, pp. 8041-8041
Open Access | Times Cited: 4

Charting a Path to Sustainable Workforce: Exploring Influential Factors behind Employee Turnover Intentions in the Energy Industry
Ana Živković, Ana Pap Vorkapić, Jelena Franjković
Sustainability (2024) Vol. 16, Iss. 19, pp. 8511-8511
Open Access

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