Open Access Helper

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:

Machine learning for administrative health records: A systematic review of techniques and applications
Adrian Caruana, Madhushi Bandara, Katarzyna Musiał, et al.
Artificial Intelligence in Medicine (2023) Vol. 144, pp. 102642-102642
Open Access | Times Cited: 11

Showing 11 citing articles:

Leveraging Administrative Health Databases to Address Health Challenges in Farming Populations: Scoping Review and Bibliometric Analysis (1975-2024)
Pascal Petit, Nicolas Vuillerme
JMIR Public Health and Surveillance (2025) Vol. 11, pp. e62939-e62939
Open Access | Times Cited: 2
Machine learning-based prediction of vitamin D deficiency: NHANES 2001-2018
Jiale Guo, Qionghan He, Yehai Li
Frontiers in Endocrinology (2024) Vol. 15
Open Access | Times Cited: 7
Analysis of the relationship between soil particle fractal dimension and physicochemical properties
Yongxing Pan, Meng Chen, Yudao Chen
Environmental Earth Sciences (2025) Vol. 84, Iss. 8
Closed Access
Artificial intelligence and pain management: cautiously optimistic
Bhargav Srinivasan, Archana Venkataraman, Srinivasa N. Raja
Pain Management (2024), pp. 1-3
Closed Access | Times Cited: 1
Anticipating Mental Health Threats from Artificial Intelligence: Clinical, Social and Legal Perspectives (Preprint)
Peter A. Hall, James MacKillop, Zahid A Butt, et al.
(2024)
Closed Access
The use of artificial intelligence to improve mycetoma management
Hyam Omar Ali, Lamis Yahia Mohamed Elkheir, Ahmed Hassan Fahal
PLoS neglected tropical diseases (2024) Vol. 18, Iss. 2, pp. e0011914-e0011914
Open Access
Machine learning models based on dietary data to predict gallstones: NHANES 2017-2020
Guanming Shao, Yonghui Ma, Lili Wang, et al.
Research Square (Research Square) (2024)
Open Access
Predicting social welfare in Madrid neighbourhoods using machine learning
Carlos Alberto Lastras Rodríguez
Regional Studies Regional Science (2024) Vol. 11, Iss. 1, pp. 496-522
Open Access
Comorbidity progression analysis: patient stratification and comorbidity prediction using temporal comorbidity network
Liang Ye, Chonghui Guo, Hailin Li
Health Information Science and Systems (2024) Vol. 12, Iss. 1
Closed Access
Exploring factors affecting patient satisfaction in online healthcare: A machine learning approach grounded in empathy theory
J Chen, Guoping Wu, Tong Zhang, et al.
Digital Health (2024) Vol. 10
Open Access
Data Data Everywhere: Harnessing Digital Health: Reflections from the Australasian Institute of Digital Health’s Healthcare Innovations Community Conference, Brisbane, August 5–7, 2024
Hanh Vu, Daniel Catchpoole
Innovations in Digital Health Diagnostics and Biomarkers (2024) Vol. 4, Iss. 2024, pp. 94-95
Open Access
Page 1

Scroll to top