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:

A Decision Support System for Diagnosing Diabetes Using Deep Neural Network
Osama Rabie, Daniyal Alghazzawi, Junaid Asghar, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 13

Showing 13 citing articles:

Diabetes and artificial intelligence beyond the closed loop: a review of the landscape, promise and challenges
Scott C. Mackenzie, Christopher Sainsbury, Deborah J. Wake
Diabetologia (2023) Vol. 67, Iss. 2, pp. 223-235
Open Access | Times Cited: 20

An examination of the hybrid meta-heuristic machine learning algorithms for early diagnosis of type II diabetes using big data feature selection
Fatemeh Navazi, Yufei Yuan, Norm Archer
Healthcare Analytics (2023) Vol. 4, pp. 100227-100227
Open Access | Times Cited: 15

Intelligent Risk Prediction System in IoT-Based Supply Chain Management in Logistics Sector
Ahmed Alzahrani, Muhammad Zubair Asghar
Electronics (2023) Vol. 12, Iss. 13, pp. 2760-2760
Open Access | Times Cited: 10

A Comparative Study of Diabetes Detection Using The Pima Indian Diabetes Database
Abdulazeez Mousa, Waraz Mustafa, Ridwan Boya Marqas, et al.
The Journal of The University of Duhok (2023) Vol. 26, Iss. 2, pp. 277-288
Open Access | Times Cited: 7

Artificial Intelligence in Diabetes Management: Revolutionizing the Diagnosis of Diabetes Mellitus; a Literature Review
Alireza Keshtkar, Nazanin Ayareh, Farnaz Atighi, et al.
Shiraz E-Medical Journal (2024) Vol. 25, Iss. 7
Open Access | Times Cited: 2

Enhancing Diabetes Prediction with Data Preprocessing and various Machine Learning Algorithms
G. Saranya, Sagar Dhanraj Pande
EAI Endorsed Transactions on Internet of Things (2024) Vol. 10
Open Access | Times Cited: 1

A deep convolutional neural network for efficient microglia detection
Ilida Suleymanova, Dmitrii Bychkov, Jaakko Kopra
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 4

Efficient Diagnosis of Liver Disease using Deep Learning Technique
Nosheen Jillani, Asad Masood Khattak, Muhammad Zubair Asghar, et al.
2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (2023) Vol. 20, pp. 1-6
Closed Access | Times Cited: 3

Application Effect of Somatostatin Combined with Transnasal Ileus Catheterization in Patients with Acute Intestinal Obstruction and Advanced Gastric Cancer
Zhenlu Li, Zhen Liu, Zongping Yu
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-7
Open Access | Times Cited: 4

Analysis of Diabetes Clinical Data Based on Recurrent Neural Networks
Yuanyuan Lin, Yueli Li, Xuemei Huang, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-7
Open Access | Times Cited: 3

Machine learning-based predictive model for type 2 diabetes mellitus using genetic and clinical data
Helen Huang, Adan Khan, Charmy Parikh, et al.
Elsevier eBooks (2024), pp. 177-185
Closed Access

Utilizing Machine Learning to Assess the Impact of Attitudinal, Knowledge, and Perceptual Factors on Diabetes Awareness
Ahmad T. Al‐Sultan, Ahmad Alsaber, Jiazhu Pan, et al.
Research Square (Research Square) (2024)
Open Access

Analysis of blood glucose monitoring – a review on recent advancements and future prospects
Gayathri Priyadarshini R, Sathiya Narayanan
Multimedia Tools and Applications (2023) Vol. 83, Iss. 20, pp. 58375-58419
Closed Access

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