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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:

A Decision Support System for Diabetes Prediction Using Machine Learning and Deep Learning Techniques
Amani Yahyaoui, Akhtar Jamıl, Jawad Rasheed, et al.
2019 1st International Informatics and Software Engineering Conference (UBMYK) (2019), pp. 1-4
Closed Access | Times Cited: 186

Showing 1-25 of 186 citing articles:

Machine-Learning-Based Disease Diagnosis: A Comprehensive Review
Md Manjurul Ahsan, Shahana Akter Luna, Zahed Siddique
Healthcare (2022) Vol. 10, Iss. 3, pp. 541-541
Open Access | Times Cited: 331
The Role of Machine Learning Algorithms for Diagnosing Diseases
Ibrahim Ibrahim, Adnan Mohsin Abdulazeez
Journal of Applied Science and Technology Trends (2021) Vol. 2, Iss. 01, pp. 10-19
Open Access | Times Cited: 220
Differential Privacy for Deep and Federated Learning: A Survey
Ahmed El Ouadrhiri, Ahmed Abdelhadi
IEEE Access (2022) Vol. 10, pp. 22359-22380
Open Access | Times Cited: 188
A machine learning-based framework for diagnosis of COVID-19 from chest X-ray images
Jawad Rasheed, Alaa Ali Hameed, Chawki Djeddi, et al.
Interdisciplinary Sciences Computational Life Sciences (2021) Vol. 13, Iss. 1, pp. 103-117
Open Access | Times Cited: 177
A comprehensive review of machine learning techniques on diabetes detection
Toshita Sharma, Manan Shah
Visual Computing for Industry Biomedicine and Art (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 74
Diagnosis of diabetes using machine learning algorithms
Fayroza Alaa Khaleel, Abbas M. Al-Bakry
Materials Today Proceedings (2021) Vol. 80, pp. 3200-3203
Closed Access | Times Cited: 67
Recent applications of machine learning and deep learning models in the prediction, diagnosis, and management of diabetes: a comprehensive review
Elaheh Afsaneh, Amin Sharifdini, Hadi Ghazzaghi, et al.
Diabetology & Metabolic Syndrome (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 58
Diabetes detection based on machine learning and deep learning approaches
Boon Feng Wee, Saaveethya Sivakumar, King Hann Lim, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 8, pp. 24153-24185
Open Access | Times Cited: 38
A Comparison of Machine Learning Techniques for the Detection of Type-2 Diabetes Mellitus: Experiences from Bangladesh
Md. Jamal Uddin, Md. Martuza Ahamad, Md. Nesarul Hoque, et al.
Information (2023) Vol. 14, Iss. 7, pp. 376-376
Open Access | Times Cited: 26
Machine Learning Based Diabetes Detection Model for False Negative Reduction
Md Ashraf Uddin, Md. Manowarul Islam, Md. Alamin Talukder, et al.
Deleted Journal (2023) Vol. 2, Iss. 1, pp. 427-443
Open Access | Times Cited: 24
Delving into Machine Learning's Influence on Disease Diagnosis and Prediction
Basu Dev Shivahare, Jagendra Singh, Vinayakumar Ravi, et al.
The Open Public Health Journal (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 11
Machine Learning in Healthcare Analytics: A State-of-the-Art Review
Surajit Das, Samaleswari Pr. Nayak, Biswajit Sahoo, et al.
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 9
A novel RFE-GRU model for diabetes classification using PIMA Indian dataset
Mahmoud Y. Shams, Zahraa Tarek, Ahmed M. Elshewey
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
COVID-19 in the Age of Artificial Intelligence: A Comprehensive Review
Jawad Rasheed, Akhtar Jamıl, Alaa Ali Hameed, et al.
Interdisciplinary Sciences Computational Life Sciences (2021) Vol. 13, Iss. 2, pp. 153-175
Open Access | Times Cited: 55
Classification Comparison of Machine Learning Algorithms Using Two Independent CAD Datasets
Meliz Yuvalı, Belma Yaman, Özgür Tosun
Mathematics (2022) Vol. 10, Iss. 3, pp. 311-311
Open Access | Times Cited: 37
Machine-Learning-Based Diabetes Mellitus Risk Prediction Using Multi-Layer Neural Network No-Prop Algorithm
J. Jeba Sonia, J. Prassanna, Abdul Quadir, et al.
Diagnostics (2023) Vol. 13, Iss. 4, pp. 723-723
Open Access | Times Cited: 18
Machine learning based algorithms for virtual early detection and screening of neurodegenerative and neurocognitive disorders: a systematic-review
Milad Yousefi, Masih Akhbari, Zhina Mohamadi, et al.
Frontiers in Neurology (2024) Vol. 15
Open Access | Times Cited: 7
Screening Lung Diseases Using Cascaded Feature Generation and Selection Strategies
Jawad Rasheed, Raed M. Shubair
Healthcare (2022) Vol. 10, Iss. 7, pp. 1313-1313
Open Access | Times Cited: 24
An effective correlation-based data modeling framework for automatic diabetes prediction using machine and deep learning techniques
Kiran Kumar Patro, Allam Jaya Prakash, Umamaheswararao Sanapala, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 14
Diabetes Prediction Using Machine Learning Ensemble Model
Ong Yee Hang, Wiwied Virgiyanti, Rosly Rosaida
Journal of Advanced Research in Applied Sciences and Engineering Technology (2024) Vol. 37, Iss. 1, pp. 82-98
Open Access | Times Cited: 6
Improving the Quality Indicators of Multilevel Data Sampling Processing Models Based on Unsupervised Clustering
Ilya Lebedev, Mikhail Sukhoparov
Emerging Science Journal (2024) Vol. 8, Iss. 1, pp. 355-371
Open Access | Times Cited: 5
Enhanced detection of diabetes mellitus using novel ensemble feature engineering approach and machine learning model
Furqan Rustam, Ahmad Sami Al-Shamayleh, Rahman Shafique, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Research Methods in Machine Learning: A Content Analysis
Jackson Kamiri, Geoffrey Wambugu Mariga
International Journal of Computer and Information Technology(2279-0764) (2021) Vol. 10, Iss. 2
Open Access | Times Cited: 31
Detection of Cardiovascular Disease from Clinical Parameters Using a One-Dimensional Convolutional Neural Network
Mohammad Mahbubur Rahman Khan Mamun, Tarek Elfouly
Bioengineering (2023) Vol. 10, Iss. 7, pp. 796-796
Open Access | Times Cited: 13
A Novel Extra Tree Ensemble Optimized DL Framework (ETEODL) for Early Detection of Diabetes
Monika Arya, Hanumat Sastry G, Anand Motwani, et al.
Frontiers in Public Health (2022) Vol. 9
Open Access | Times Cited: 17
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