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:
Generation of Individualized Synthetic Data for Augmentation of the Type 1 Diabetes Data Sets Using Deep Learning Models
Josep Noguer, Iván Contreras, Omer Mujahid, et al.
Sensors (2022) Vol. 22, Iss. 13, pp. 4944-4944
Open Access | Times Cited: 14
Josep Noguer, Iván Contreras, Omer Mujahid, et al.
Sensors (2022) Vol. 22, Iss. 13, pp. 4944-4944
Open Access | Times Cited: 14
Showing 14 citing articles:
Disability risk prediction model based on machine learning among Chinese healthy older adults: results from the China Health and Retirement Longitudinal Study
Yuchen Han, Shaobing Wang
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 15
Yuchen Han, Shaobing Wang
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 15
Glycemic Control for Patients with Type 1 Diabetes on Multiple Daily Injections: A Customized Decision Support System Based on Patients Adherence
Arthur Bertachi, Lyvia Biagi, Iván Contreras, et al.
(2025)
Closed Access
Arthur Bertachi, Lyvia Biagi, Iván Contreras, et al.
(2025)
Closed Access
A Case for Synthetic Data in Regulatory Decision‐Making in Europe
Clara Alloza, Bethany Knox, Hanaya Raad, et al.
Clinical Pharmacology & Therapeutics (2023) Vol. 114, Iss. 4, pp. 795-801
Closed Access | Times Cited: 9
Clara Alloza, Bethany Knox, Hanaya Raad, et al.
Clinical Pharmacology & Therapeutics (2023) Vol. 114, Iss. 4, pp. 795-801
Closed Access | Times Cited: 9
Generative deep learning for the development of a type 1 diabetes simulator
Omer Mujahid, Iván Contreras, Aleix Beneyto, et al.
Communications Medicine (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 3
Omer Mujahid, Iván Contreras, Aleix Beneyto, et al.
Communications Medicine (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 3
Validation of the UVA Simulation Replay Methodology Using Clinical Data: Reproducing a Randomized Clinical Trial
María F. Villa-Tamayo, Patricio Colmegna, Marc D. Breton
Diabetes Technology & Therapeutics (2024) Vol. 26, Iss. 10, pp. 720-727
Closed Access | Times Cited: 2
María F. Villa-Tamayo, Patricio Colmegna, Marc D. Breton
Diabetes Technology & Therapeutics (2024) Vol. 26, Iss. 10, pp. 720-727
Closed Access | Times Cited: 2
Slope deformation prediction based on noise reduction and deep learning: a point prediction and probability analysis method
Man Shao, Fuming Liu
Frontiers in Earth Science (2024) Vol. 12
Closed Access | Times Cited: 1
Man Shao, Fuming Liu
Frontiers in Earth Science (2024) Vol. 12
Closed Access | Times Cited: 1
Decision-making system for the prediction of type II diabetes using machine learning techniques and data balancing
Sourav Kumar Giri, S. Dash
Elsevier eBooks (2024), pp. 199-217
Closed Access | Times Cited: 1
Sourav Kumar Giri, S. Dash
Elsevier eBooks (2024), pp. 199-217
Closed Access | Times Cited: 1
FGL-GAN: Global-Local Mask Generative Adversarial Network for Flame Image Composition
Kui Qin, Xinguo Hou, Zhengjun Yan, et al.
Sensors (2022) Vol. 22, Iss. 17, pp. 6332-6332
Open Access | Times Cited: 5
Kui Qin, Xinguo Hou, Zhengjun Yan, et al.
Sensors (2022) Vol. 22, Iss. 17, pp. 6332-6332
Open Access | Times Cited: 5
Taxonomy-based prompt engineering to generate synthetic drug-related patient portal messages
Natalie Wang, Sukrit Treewaree, Ayah Zirikly, et al.
Journal of Biomedical Informatics (2024) Vol. 160, pp. 104752-104752
Closed Access
Natalie Wang, Sukrit Treewaree, Ayah Zirikly, et al.
Journal of Biomedical Informatics (2024) Vol. 160, pp. 104752-104752
Closed Access
Generative adversarial network-based data augmentation for improving hypoglycemia prediction: A proof-of-concept study
Wonju Seo, Nam‐Ho Kim, Sung Woon Park, et al.
Biomedical Signal Processing and Control (2024) Vol. 92, pp. 106077-106077
Closed Access
Wonju Seo, Nam‐Ho Kim, Sung Woon Park, et al.
Biomedical Signal Processing and Control (2024) Vol. 92, pp. 106077-106077
Closed Access
Modelling Rate of Exogenous Glucose Appearance for Biomedical Applications Using Conditional Generative Models
Josep Noguer, Iván Contreras, Aleix Beneyto, et al.
IFAC-PapersOnLine (2024) Vol. 58, Iss. 23, pp. 127-132
Open Access
Josep Noguer, Iván Contreras, Aleix Beneyto, et al.
IFAC-PapersOnLine (2024) Vol. 58, Iss. 23, pp. 127-132
Open Access
Virtual Scenarios of Earthquake Early Warning to Disaster Management in Smart Cities Based on Auxiliary Classifier Generative Adversarial Networks
Jae-Kwang Ahn, Byeonghak Kim, Bonhwa Ku, et al.
Sensors (2023) Vol. 23, Iss. 22, pp. 9209-9209
Open Access | Times Cited: 1
Jae-Kwang Ahn, Byeonghak Kim, Bonhwa Ku, et al.
Sensors (2023) Vol. 23, Iss. 22, pp. 9209-9209
Open Access | Times Cited: 1
Simulating Realistic Continuous Glucose Monitor Time Series By Data Augmentation
Louis Gomez, Adedolapo Aishat Toye, R. Stanley Hum, et al.
Journal of Diabetes Science and Technology (2023)
Open Access | Times Cited: 1
Louis Gomez, Adedolapo Aishat Toye, R. Stanley Hum, et al.
Journal of Diabetes Science and Technology (2023)
Open Access | Times Cited: 1
Synthetic Health data Generation for Enhancement of Non-Invasive Diabetes AI-Based Prediction
William Alberto Cruz Castañeda, Pedro Bertemes-Filho
(2023)
Open Access | Times Cited: 1
William Alberto Cruz Castañeda, Pedro Bertemes-Filho
(2023)
Open Access | Times Cited: 1
