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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:

Diabetes prediction model using data mining techniques
Rashi Rastogi, Mamta Bansal
Measurement Sensors (2022) Vol. 25, pp. 100605-100605
Open Access | Times Cited: 73

Showing 1-25 of 73 citing articles:

Integrating artificial intelligence into the modernization of traditional Chinese medicine industry: a review
Enyu Zhou, Qin Shen, Yang Hou
Frontiers in Pharmacology (2024) Vol. 15
Open Access | Times Cited: 19
A robust predictive diagnosis model for diabetes mellitus using Shapley-incorporated machine learning algorithms
Chukwuebuka Joseph Ejiyi, Zhen Qin, Joan Amos, et al.
Healthcare Analytics (2023) Vol. 3, pp. 100166-100166
Open Access | Times Cited: 40
Mine-first association rule mining: An integration of independent frequent patterns in distributed environments
Bharadwaj Mudumba, Md Faisal Kabir
Decision Analytics Journal (2024) Vol. 10, pp. 100434-100434
Open Access | Times Cited: 9
An Innovative Ensemble Deep Learning Clinical Decision Support System for Diabetes Prediction
Mana Saleh Al Reshan, Samina Amin, Muhammad Ali Zeb, et al.
IEEE Access (2024) Vol. 12, pp. 106193-106210
Open Access | Times Cited: 6
Imbalanced class distribution and performance evaluation metrics: A systematic review of prediction accuracy for determining model performance in healthcare systems
Michael Owusu-Adjei, James Ben Hayfron-Acquah, Frimpong Twum, et al.
PLOS Digital Health (2023) Vol. 2, Iss. 11, pp. e0000290-e0000290
Open Access | Times Cited: 13
A Federated Learning-Inspired Evolutionary Algorithm: Application to Glucose Prediction
Ivanoe De Falco, Antonio Della Cioppa, Tomáš Koutný, et al.
Sensors (2023) Vol. 23, Iss. 6, pp. 2957-2957
Open Access | Times Cited: 12
Diabetes Mellitus Prediction using Supervised Machine Learning Techniques
Srishti Mahajan, Pradeepta Kumar Sarangi, Ashok Kumar Sahoo, et al.
(2023), pp. 587-592
Closed Access | Times Cited: 11
Analyzing classification and feature selection strategies for diabetes prediction across diverse diabetes datasets
Jayakumar Kaliappan, Indrajeet Kumar, S. Sundaravelan, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 4
An automated approach to predict diabetic patients using KNN imputation and effective data mining techniques
Abdulaziz Altamimi, Aisha Ahmed Alarfaj, Muhammad Umer, et al.
BMC Medical Research Methodology (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 4
Effective Diabetes Prediction using an IoT-based Integrated Ensemble Machine Learning Framework
Rashi Rastogi, Mamta Bansal, N. Hari Kumar, et al.
Engineering Technology & Applied Science Research (2025) Vol. 15, Iss. 1, pp. 20064-20070
Open Access
Clinical Support System for Healthcare Providers Using Big Data Analytics
K. Arunmozhi Arasan, E. Ramaraj, A. Padmapriya
Journal of Evaluation in Clinical Practice (2025) Vol. 31, Iss. 1
Closed Access
A predictive analytics approach with Bayesian-optimized gentle boosting ensemble models for diabetes diagnosis
Behnaz Motamedi, Balázs Villányi
Computer Methods and Programs in Biomedicine Update (2025), pp. 100184-100184
Open Access
A Machine Learning and Neural Network Approach for Classifying Multidrug-Resistant Bacterial Infections
Preeda Mengsiri, Ratchadaporn Ungcharoen, Sethavidh Gertphol
Healthcare Analytics (2025), pp. 100388-100388
Open Access
An effective PO-RSNN and FZCIS based diabetes prediction and stroke analysis in the metaverse environment
M. Karpagam, S Sarumathi, Anuj Maheshwari, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Diabetes Prediction Using Convolutional Neural Networks and Long Short Term Memory Techniques
U Nandhini, Murali Anand
Communications in computer and information science (2025), pp. 69-78
Closed Access
Attention-Oriented CNN Method for Type 2 Diabetes Prediction
Zhao Jian, Hanlin Gao, Y. Chen, et al.
Applied Sciences (2024) Vol. 14, Iss. 10, pp. 3989-3989
Open Access | Times Cited: 3
Classification Of Heart Disease Using Feature Selection and Machine Learning Techniques
Sondos Jameel Mukhyber
Deleted Journal (2025) Vol. 2, Iss. 3, pp. 9-9
Closed Access
Enhancing early-stage diabetes prediction with Explainable Artificial Intelligence(XAI)
Rizwan Alam, Mohammad Atif, Naeem Ahmad, et al.
(2025), pp. 1-6
Closed Access
A Multi-Algorithm Predictive Model for Early Detection and Risk Assessment of Juvenile Diabetes Using Advanced Machine Learning Technique
Arun Mukherjee, Ritanath Malakar, S. K. Samanta, et al.
Lecture notes in computer science (2025), pp. 142-153
Closed Access
Enhanced abnormal data detection hybrid strategy based on heuristic and stochastic approaches for efficient patients rehabilitation
Murad Ali Khan, Naeem Iqbal, Harun Jamil, et al.
Future Generation Computer Systems (2023) Vol. 154, pp. 101-122
Closed Access | Times Cited: 9
User-cloud-based ensemble framework for type-2 diabetes prediction with diet plan suggestion
Ganga Prabhakar, Vaishnavi Reddy Chintala, Trishala Reddy, et al.
e-Prime - Advances in Electrical Engineering Electronics and Energy (2024) Vol. 7, pp. 100423-100423
Open Access | Times Cited: 3
Comparative Assessment of Machine Learning Models for Predicting Glucose Intolerance Risk
B P Pradeep Kumar, H. M. Manoj
SN Computer Science (2024) Vol. 5, Iss. 7
Closed Access | Times Cited: 3
Diabetes prediction model for unbalanced community follow-up data set based on optimal feature selection and scorecard
Liangjun Jiang, Zerui Yang, Donghai Wang, et al.
Digital Health (2024) Vol. 10
Open Access | Times Cited: 2
Machine and deep learning techniques for the prediction of diabetics: a review
Sandip Kumar Singh Modak, Vijay Kumar Jha
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 2
Integrating Innovation in Healthcare: The Evolution of “CURA’s” AI-Driven Virtual Wards for Enhanced Diabetes and Kidney Disease Monitoring
Mohammed Aljaafari, Shorouk E. El-deep, Amr A. Abohany, et al.
IEEE Access (2024) Vol. 12, pp. 126389-126414
Open Access | Times Cited: 2
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