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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:

Ethical Considerations of Using Machine Learning for Decision Support in Occupational Health: An Example Involving Periodic Workers’ Health Assessments
Marianne W.M.C. Six Dijkstra, Egbert Siebrand, Steven Dorrestijn, et al.
Journal of Occupational Rehabilitation (2020) Vol. 30, Iss. 3, pp. 343-353
Open Access | Times Cited: 22

Showing 22 citing articles:

The ethical issues of the application of artificial intelligence in healthcare: a systematic scoping review
Golnar Karimian, Elena Petelos, Silvia M. A. A. Evers
AI and Ethics (2022) Vol. 2, Iss. 4, pp. 539-551
Open Access | Times Cited: 137
Ethics & AI: A Systematic Review on Ethical Concerns and Related Strategies for Designing with AI in Healthcare
Fan Li, Nick Ruijs, Yuan Lü
AI (2022) Vol. 4, Iss. 1, pp. 28-53
Open Access | Times Cited: 86
Artificial intelligence in healthcare institutions: A systematic literature review on influencing factors
Julia Stefanie Roppelt, Dominik K. Kanbach, Sascha Kraus
Technology in Society (2023) Vol. 76, pp. 102443-102443
Open Access | Times Cited: 37
Guest editorial: Ethics for artificial intelligence: A game based- framework for physiotherapists
Sara Laurijssen, Marianne Six-Dijkstra, Gerda van den Berg, et al.
Journal of Back and Musculoskeletal Rehabilitation (2025)
Closed Access
Enabling the adoption of machine learning in clinical decision support: A Total Interpretive Structural Modeling Approach
Ahmad A. Abujaber, Abdulqadir J. Nashwan, Adam Fadlalla
Informatics in Medicine Unlocked (2022) Vol. 33, pp. 101090-101090
Open Access | Times Cited: 14
Investigating Employees’ Concerns and Wishes Regarding Digital Stress Management Interventions With Value Sensitive Design: Mixed Methods Study
Jasmine I. Kerr, Mara Naegelin, Michaela Benk, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e44131-e44131
Open Access | Times Cited: 7
Artificial Intelligence–Based Clinical Decision Support Systems in Geriatrics: An Ethical Analysis
Tobias Skuban-Eiseler, Marcin Orzechowski, Michael Denkinger, et al.
Journal of the American Medical Directors Association (2023) Vol. 24, Iss. 9, pp. 1271-1276.e4
Open Access | Times Cited: 7
Harnessing machine learning to support evidence-based medicine: A pragmatic reconciliation framework
Ahmad A. Abujaber, Abdulqadir J. Nashwan, Adam Fadlalla
Intelligence-Based Medicine (2022) Vol. 6, pp. 100048-100048
Open Access | Times Cited: 12
Comparison of Machine Learning Methods in the Study of Cancer Survivors’ Return to Work: An Example of Breast Cancer Survivors with Work-Related Factors in the CONSTANCES Cohort
Marie Badreau, Marc Fadel, Yves Roquelaure, et al.
Journal of Occupational Rehabilitation (2023) Vol. 33, Iss. 4, pp. 750-756
Closed Access | Times Cited: 4
State-of-the-art review on various applications of machine learning techniques in materials science and engineering
Bing Yu, Lai‐Chang Zhang, Xiaoxia Ye, et al.
Chemical Engineering Science (2024), pp. 121147-121147
Closed Access | Times Cited: 1
Utilization of Machine Learning in Supporting Occupational Safety and Health Decisions in Hospital Workplace
Kyriakos Koklonis, Michail Sarafidis, Maria Vastardi, et al.
Engineering Technology & Applied Science Research (2021) Vol. 11, Iss. 3, pp. 7262-7272
Open Access | Times Cited: 10
Machine Learning for Work Disability Prevention: Introduction to the Special Series
Douglas P. Gross, Ivan Steenstra, Frank E. Harrell, et al.
Journal of Occupational Rehabilitation (2020) Vol. 30, Iss. 3, pp. 303-307
Open Access | Times Cited: 10
Commercial and Research-Based Wearable Devices in Spinal Postural Analysis: A Systematic Review
Narges Pourshahrokhi, Yitong Sun, Ali Asadipour
(2024), pp. 65-83
Closed Access
Big data em Saúde do Trabalhador: o quão distantes estamos?
Thales Pardini Fagundes, Roberta Moreira Wichmann, Maria Eduarda de Lima e Silva, et al.
Revista Brasileira de Saúde Ocupacional (2024) Vol. 49
Open Access
Big data on Occupational Health: how far are we?
Thales Pardini Fagundes, Roberta Moreira Wichmann, Maria Eduarda de Lima e Silva, et al.
Revista Brasileira de Saúde Ocupacional (2024) Vol. 49
Open Access
Terminologie, modellen en instrumenten
André Bieleman, Yvonne Heerkens, Marcel Balm
Bohn Stafleu van Loghum eBooks (2024), pp. 91-180
Closed Access
Impact of AI and Dynamic Ensemble Techniques in Enhancing Healthcare Services: Opportunities and Ethical Challenges
Haseeb Javed, Hafiz Abdul Muqeet, Amirhossein Danesh, et al.
IEEE Access (2024) Vol. 12, pp. 141064-141087
Open Access
Behind the good of digital tools for occupational safety and health: a scoping review of ethical issues surrounding the use of the internet of things
Maéva El Bouchikhi, Sophie Weerts, Christine Clavien
Frontiers in Public Health (2024) Vol. 12
Open Access
Accuracy of the Örebro Musculoskeletal Pain Questionnaire and Work Assessment Triage Tool for selecting interventions in workers with spinal conditions
Eloi Gergelé, Éric Parent, Douglas P. Gross
Journal of Back and Musculoskeletal Rehabilitation (2021) Vol. 34, Iss. 3, pp. 355-362
Open Access | Times Cited: 3
« Machine learning » : bases pour le professionnel en santé au travail et de l’environnement
Marie Badreau, Marc Fadel, Piotr Graczyk, et al.
EMC - Pathologie professionnelle et de l environnement (2023) Vol. 42, Iss. 1, pp. 1-15
Closed Access
Enabling the Adoption of Machine Learning in Clinical Decision Support: A Total Interpretive Structural Modeling Approach
Ahmad A. Abujaber, Abdulqadir J. Nashwan, Adam Fadlalla
SSRN Electronic Journal (2022)
Open Access
Investigating Employees’ Concerns and Wishes Regarding Digital Stress Management Interventions With Value Sensitive Design: Mixed Methods Study (Preprint)
Jasmine I. Kerr, Mara Naegelin, Michaela Benk, et al.
(2022)
Open Access
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