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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:

Reinforcement Learning Models and Algorithms for Diabetes Management
Kok‐Lim Alvin Yau, Yung-Wey Chong, Xiumei Fan, et al.
IEEE Access (2023) Vol. 11, pp. 28391-28415
Open Access | Times Cited: 13

Showing 13 citing articles:

Telehealth-Enabled In-Home Elbow Rehabilitation for Brachial Plexus Injuries Using Deep-Reinforcement-Learning-Assisted Telepresence Robots
Muhammad Nasir Khan, Ali Altalbe, Fawad Naseer, et al.
Sensors (2024) Vol. 24, Iss. 4, pp. 1273-1273
Open Access | Times Cited: 8
Healthcare professionals’ perspectives on artificial intelligence (AI)-based mobile applications (apps) for diabetes education and behavioural management
Phei-Ching Lim, Yung-Wey Chong, Qiu-Ting Chie, et al.
Digital Health (2025) Vol. 11
Open Access
Application of machine learning in affordable and accessible insulin management for type 1 and 2 diabetes: A comprehensive review
Maryam Eghbali‐Zarch, Sara Masoud
Artificial Intelligence in Medicine (2024) Vol. 151, pp. 102868-102868
Closed Access | Times Cited: 2
An automatic deep reinforcement learning bolus calculator for automated insulin delivery systems
Sayyar Ahmad, Aleix Beneyto, Taiyu Zhu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Traffic Signal Control with State-Optimizing Deep Reinforcement Learning and Fuzzy Logic
Teerapun Meepokgit, Sumek Wisayataksin
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 7908-7908
Open Access | Times Cited: 2
G2P2C — A modular reinforcement learning algorithm for glucose control by glucose prediction and planning in Type 1 Diabetes
Chirath Hettiarachchi, Nicolò Malagutti, Christopher J. Nolan, et al.
Biomedical Signal Processing and Control (2023) Vol. 90, pp. 105839-105839
Open Access | Times Cited: 5
Fruit Weight Predicting by Using Hybrid Learning
Chao-Yang Lee
Communications in computer and information science (2024), pp. 81-91
Closed Access | Times Cited: 1
Multimodal Reinforcement Learning for Embedding Networks and Medication Recommendation in Parkinson’s Disease
Hongbum Kim, Chanyoung Park, Jong‐Hoon Kim, et al.
IEEE Access (2024) Vol. 12, pp. 74251-74267
Open Access | Times Cited: 1
Blood-glucose regulator design for diabetics based on LQIR-driven Sliding-Mode-Controller with self-adaptive reaching law
Omer Saleem, Jamshed Iqbal
PLoS ONE (2024) Vol. 19, Iss. 11, pp. e0314479-e0314479
Open Access | Times Cited: 1
A Novel Q-Learning Frameworkfor Type-II Diabetes Prediction
Mansi Sharma, Prakash Mani Kumar
(2024), pp. 793-798
Closed Access
Architectural Patterns for the Design of Federated Learning Systems
R. Vijay Anand, Jayalakshmi Periyasamy, Madala Guru Brahmam, et al.
(2024), pp. 223-239
Closed Access
Auto adaptation of closed-loop insulin delivery system using continuous reward functions and incremental discretization
María Cecilia Serafini, Nicolás Rosales, Fabricio Garelli
Computer Methods in Biomechanics & Biomedical Engineering (2023), pp. 1-12
Closed Access
Multi-Agent Deep Reinforcement Learning for Resource Allocation in 5G and 6G Networks
Abdikarim Mohamed Ibrahim, Mee Hong Ling, Kok‐Lim Alvin Yau
(2023), pp. 225-231
Closed Access
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