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:

Development and Validation of a Machine Learning Model to Predict Weekly Risk of Hypoglycemia in Patients with Type 1 Diabetes Based on Continuous Glucose Monitoring
Simon Lebech Cichosz, Morten Hasselstrøm Jensen, Søren Schou Olesen
Diabetes Technology & Therapeutics (2024) Vol. 26, Iss. 7, pp. 457-466
Closed Access | Times Cited: 22

Showing 22 citing articles:

The History, Evolution and Future of Continuous Glucose Monitoring (CGM)
Clara Bender, Peter Vestergaard, Simon Lebech Cichosz
Diabetology (2025) Vol. 6, Iss. 3, pp. 17-17
Open Access | Times Cited: 2
From Stability to Variability: Classification of Healthy Individuals, Prediabetes, and Type 2 Diabetes using Glycemic Variability Indices from Continuous Glucose Monitoring Data
Simon Lebech Cichosz, Thomas Kronborg, Esben Laugesen, et al.
Diabetes Technology & Therapeutics (2024)
Closed Access | Times Cited: 9
Nocturnal hypoglycemia in the era of continuous glucose monitoring
Bernhard Kulzer, Guido Freckmann, Ralph Ziegler, et al.
Journal of Diabetes Science and Technology (2024) Vol. 18, Iss. 5, pp. 1052-1060
Closed Access | Times Cited: 7
Predicting Hypoglycemia and Hyperglycemia Risk During and After Activity for Adolescents with Type 1 Diabetes
Simon Bergford, Michael C. Riddell, Robin L. Gal, et al.
Diabetes Technology & Therapeutics (2024) Vol. 26, Iss. 10, pp. 728-738
Closed Access | Times Cited: 6
Machine Learning and Deep Learning Models for Nocturnal High- and Low-Glucose Prediction in Adults with Type 1 Diabetes
Roman M. Kozinetz, Vladimir Berikov, Julia F. Semenova, et al.
Diagnostics (2024) Vol. 14, Iss. 7, pp. 740-740
Open Access | Times Cited: 5
A Machine Learning Model for Week-Ahead Hypoglycemia Prediction From Continuous Glucose Monitoring Data
Flavia Giammarino, Ransalu Senanayake, Priya Prahalad, et al.
Journal of Diabetes Science and Technology (2024)
Closed Access | Times Cited: 4
Artificial intelligence is going to transform the field of endocrinology: an overview
Jamal Belkhouribchia
Frontiers in Endocrinology (2025) Vol. 16
Open Access
Early Detection of Elevated Ketone Bodies in Type 1 Diabetes Using Insulin and Glucose Dynamics Across Age Groups: Model Development Study
Simon Lebech Cichosz, Clara Bender
JMIR Diabetes (2025) Vol. 10, pp. e67867-e67867
Open Access
Predicting High Glycemia Risk Index Trajectory in Individuals With Type 1 Diabetes and Long-term Continuously Glucose Monitoring
Simon Lebech Cichosz
Journal of Diabetes Science and Technology (2025)
Closed Access
Transformative Advances in Continuous Glucose Monitoring and the Impact of FDA Over‐the‐Counter Approval on Diabetes Care
Zain Afridi, Sameer Abdul Rauf, Sadia Ashraf, et al.
Health Science Reports (2025) Vol. 8, Iss. 4
Open Access
Role of artificial intelligence in early identification and risk evaluation of non-communicable diseases: a bibliometric analysis of global research trends
Arwa M. Al-Dekah, Waleed M. Sweileh
BMJ Open (2025) Vol. 15, Iss. 5, pp. e101169-e101169
Open Access
INTELIGÊNCIA ARTIFICIAL NA ENFERMAGEM: GUIANDO NOVOS PADRÕES NO CUIDADO AO PACIENTE
Clara Bender, Rogério Pessoto Hirata, Thomas Kronborg, et al.
Texto & Contexto - Enfermagem (2025) Vol. 34
Open Access
INTELIGENCIA ARTIFICIAL EN LA ENFERMERÍA: GUIANDO NUEVOS PATRONES EN EL CUIDADO AL PACIENTE
Clara Bender, Rogério Pessoto Hirata, Thomas Kronborg, et al.
Texto & Contexto - Enfermagem (2025) Vol. 34
Open Access
ARTIFICIAL INTELLIGENCE IN NURSING: DRIVING A NEW STANDARD IN PATIENT CARE
Clara Bender, Rogério Pessoto Hirata, Thomas Kronborg, et al.
Texto & Contexto - Enfermagem (2025) Vol. 34
Open Access
Assessing the Accuracy of Continuous Glucose Monitoring Metrics: The Role of Missing Data and Imputation Strategies
Simon Lebech Cichosz, Thomas Kronborg, Stine Hangaard, et al.
Diabetes Technology & Therapeutics (2025)
Closed Access
Artificial Intelligence to Diagnose Complications of Diabetes
Alessandra T. Ayers, Cindy Ho, David Kerr, et al.
Journal of Diabetes Science and Technology (2024)
Closed Access | Times Cited: 3
Explainable Machine-Learning Models to Predict Weekly Risk of Hyperglycemia, Hypoglycemia, and Glycemic Variability in Patients With Type 1 Diabetes Based on Continuous Glucose Monitoring
Simon Lebech Cichosz, Søren Schou Olesen, Morten Hasselstrøm Jensen
Journal of Diabetes Science and Technology (2024)
Closed Access | Times Cited: 2
Investigating the Incidence of Dyslipidemia among Brazilian Children and Adolescents Diagnosed with Type 1 Diabetes Mellitus: A Cross-Sectional Study
R. F. Melo, Lucas Fornari Laurindo, Kátia Portero Sloan, et al.
Diseases (2024) Vol. 12, Iss. 3, pp. 45-45
Open Access | Times Cited: 2
Development and Validation of a Nocturnal Hypoglycaemia Risk Model for Patients With Type 2 Diabetes Mellitus
Chen Gong, Tingting Cai, Ying Wang, et al.
Nursing Open (2024) Vol. 11, Iss. 10
Open Access | Times Cited: 1
Machine Learning–Driven Prediction of Comorbidities and Mortality in Adults With Type 1 Diabetes
J. S. Andersen, Carsten Wridt Stoltenberg, Morten Hasselstrøm Jensen, et al.
Journal of Diabetes Science and Technology (2024)
Open Access
Assessing hypoglycemia risk during hemodialysis using an explainable machine learning approach based on continuous glucose monitoring metrics
Agnese Piersanti, Micaela Morettini, Stefania Cristino, et al.
Biomedical Signal Processing and Control (2024) Vol. 102, pp. 107319-107319
Closed Access
Explainable Machine Learning-Based Approach to Identify People at Risk of Diabetes Using Physical Activity Monitoring
Simon Lebech Cichosz, Clara Bender, Ole Hejlesen
BioMedInformatics (2024) Vol. 5, Iss. 1, pp. 1-1
Open Access
Page 1

Scroll to top