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:

Artificial intelligence and diabetes technology: A review
Thibault Gautier, L. B. Ziegler, Matthew S. Gerber, et al.
Metabolism (2021) Vol. 124, pp. 154872-154872
Closed Access | Times Cited: 37

Showing 26-50 of 37 citing articles:

Artificial Intelligence and employee's health – new challenges
Jolanta Walusiak‐Skorupa, Paulina Kaczmarek, Marta Wiszniewska
Medycyna Pracy (2023)
Open Access | Times Cited: 3
Postpartum defects in inflammatory response after gestational diabetes precede progression to type 2 diabetes: a nested case-control study within the SWIFT study
Julie A.D. Van, Yihan Luo, Jayne S. Danska, et al.
Metabolism (2023) Vol. 149, pp. 155695-155695
Open Access | Times Cited: 2
Evaluation of Applied Artificial Neuronal Networks with a Timely Cervical Cancer Diagnosis in an Emerging Economy
Dulce-Rocío Mota-López, Erika Barojas-Payán, Saul Eduardo Hernández-Cisneros, et al.
Management and industrial engineering (2024), pp. 285-307
Closed Access
Introduction to Artificial Intelligence in Diabetes
Andrew D. Zale, Mohammed S. Abusamaan, Nestoras Mathioudakis
Elsevier eBooks (2024), pp. 249-261
Closed Access
Stenopool: A Comprehensive Platform for Consolidating Diabetes Device Data
Christian Selmer, Allan Green, Simon Madsen, et al.
Journal of Diabetes Science and Technology (2024)
Closed Access
Weaving the gates of life: Pioneering a new era in oral gene delivery with metal-organic frameworks
Min Jiang, Guohui Zhang, Qin Zeng, et al.
Chemical Engineering Journal (2024) Vol. 503, pp. 158522-158522
Closed Access
Grid Search Hyperparameter Analysis in Optimizing The Decision Tree Method for Diabetes Prediction
Desi Anggreani, Hamdani, Nurmisba Nurmisba
Indonesian Journal of Data and Science (2024) Vol. 5, Iss. 3, pp. 190-197
Open Access
Complex metabolic–endocrine syndromes: associations with cardiovascular disease
Andrew J. Krentz
Elsevier eBooks (2023), pp. 39-81
Closed Access | Times Cited: 1
Artificial Intelligence Driving Diabetes Care
Aishwarya Sadagopan
Journal For International Medical Graduates (2023) Vol. 2, Iss. 1
Open Access | Times Cited: 1
Review: Machine learning in precision pharmacotherapy of type 2 diabetes—A promising future or a glimpse of hope?
Xiantong Zou, Yingning Liu, Linong Ji
Digital Health (2023) Vol. 9
Open Access | Times Cited: 1
Una revisión de las implementaciones de sistemas para la identificación de tendencias de la diabetes
Rocio Isabel Benites Loja, Marco Antonio Coral Ygnacio
Interfases (2022), Iss. 016, pp. 231-251
Open Access | Times Cited: 2
Revolutionizing Diabetes Care: The Pivotal Role of Artificial Intelligence (Preprint)
Amit Dey, Anu Grover
(2023)
Closed Access
Previous Page - Page 2

Scroll to top