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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 using Machine Learning Techniques
Khushboo Singh, Jitendra Kumar Rout, Himansu Das
(2019), pp. 1-6
Closed Access | Times Cited: 66

Showing 1-25 of 66 citing articles:

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: 185
Machine learning based diabetes prediction and development of smart web application
Nazin Ahmed, Rayhan Ahammed, Md. Manowarul Islam, et al.
International Journal of Cognitive Computing in Engineering (2021) Vol. 2, pp. 229-241
Open Access | Times Cited: 105
A Novel Wrapper–Based Feature Selection for Early Diabetes Prediction Enhanced With a Metaheuristic
Tuan Minh Le, Thanh Minh Vo, Tan Nhat Pham, et al.
IEEE Access (2020) Vol. 9, pp. 7869-7884
Open Access | Times Cited: 105
An unsupervised cluster-based feature grouping model for early diabetes detection
Md. Mehedi Hassan, Swarnali Mollick, Farhana Yasmin
Healthcare Analytics (2022) Vol. 2, pp. 100112-100112
Open Access | Times Cited: 52
Detection of renal cell hydronephrosis in ultrasound kidney images: a study on the efficacy of deep convolutional neural networks
Umar Islam, Abdullah A. Al‐Atawi, Hathal Salamah Alwageed, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1797-e1797
Open Access | Times Cited: 10
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
Prediction of diabetes Using an Artificial Neural Network
Mayra Lachhani
(2021) Vol. 2, Iss. 4, pp. 55-59
Open Access | Times Cited: 37
Average Weighted Objective Distance-Based Method for Type 2 Diabetes Prediction
Pratya Nuankaew, Supansa Chaising, Punnarumol Temdee
IEEE Access (2021) Vol. 9, pp. 137015-137028
Open Access | Times Cited: 34
Multiple Disease Prediction System using Machine Learning and Streamlit
Laxmi Deepthi Gopisetti, Srinivas Karthik Lambavai Kummera, Sai Rohan Pattamsetti, et al.
2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT) (2023), pp. 923-931
Closed Access | Times Cited: 13
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
Diabetes prediction using Hybrid Bagging Classifier
A. Chandramouli, Vemula Rajitha Hyma, Pasumarthi Sai Tanmayi, et al.
Entertainment Computing (2023) Vol. 47, pp. 100593-100593
Closed Access | Times Cited: 10
Diabetes Prediction Using Machine Learning Classification Algorithms
Pooja Rani, Rohit Lamba, Ravi Kumar Sachdeva, et al.
(2023), pp. 1-5
Closed Access | Times Cited: 8
Diabetes Mellitus Disease Prediction Using Machine Learning Classifiers with Oversampling and Feature Augmentation
B. Shamreen Ahamed, Meenakshi S. Arya, V. Auxilia Osvin Nancy
Advances in Human-Computer Interaction (2022) Vol. 2022, pp. 1-14
Open Access | Times Cited: 13
Machine Learning-based Diabetes Prediction: A Cross-Country Perspective
Sadia Afrin Shampa, Md. Saiful Islam, Ayatun Nesa
(2023) Vol. 12, pp. 1-6
Closed Access | Times Cited: 7
Unveiling urban traffic accessibility patterns and phase diagrams of traffic direction through real-time navigation data in Beijing
Liu Bing, Yifang Ma, Jin Zhang, et al.
Information Processing & Management (2024) Vol. 61, Iss. 3, pp. 103660-103660
Closed Access | Times Cited: 2
Type-II Diabetes Prediction Using Machine Learning Algorithms
C. Charitha, Amuluru Devi Chaitrasree, Penmetsa Chidananda Varma, et al.
2022 International Conference on Computer Communication and Informatics (ICCCI) (2022), pp. 1-5
Closed Access | Times Cited: 11
Prediction of Diabetes Mellitus Disease Using Supervised Machine Learning Models
Bhawnesh Kumar, Harendra Singh Negi, Sushil Chandra Dimri, et al.
2021 International Conference on Emerging Smart Computing and Informatics (ESCI) (2024), pp. 1-5
Closed Access | Times Cited: 1
Prediction of Diabetes using Machine Learning Algorithms
Priyanka Kanaparthi, Janjhyam Venkata Naga Ramesh, M V B Murali Krishna M, et al.
(2024), pp. 223-226
Closed Access | Times Cited: 1
Machine Learning based Diabetes Detection
L. V. Rajani Kumari, P Shreya, Mehrunnisa Begum, et al.
2022 7th International Conference on Communication and Electronics Systems (ICCES) (2021)
Closed Access | Times Cited: 11
Developing a Predictive Health Care System for Diabetes Diagnosis as a Machine Learning-Based Web Service
R. Raheem, Ali Kadhum M. Al‐Qurabat
Journal of University of Babylon for Pure and Applied Sciences (2022), pp. 1-32
Open Access | Times Cited: 7
The Investigation of Employing Supervised Machine Learning Models to Predict Type 2 Diabetes Among Adults
Tareq Alhmiedat, Mohammed Alotaibi
KSII Transactions on Internet and Information Systems (2022) Vol. 16, Iss. 9
Open Access | Times Cited: 6
Performance Evaluation of Data Mining and Neural Network Based Models For Diabetes Prediction
Priyabrata Sahu, Jibendu Kumar Mantri
(2023), pp. 1-10
Closed Access | Times Cited: 3
Comparative study of Ensemble learning Algorithms on Early Stage Diabetes Risk Prediction
Mrinal Banchhor, Pradeep Singh
2021 2nd International Conference for Emerging Technology (INCET) (2021), pp. 1-6
Closed Access | Times Cited: 7
Predicting onset (type-2) of diabetes from medical records using binary class classification
Md Habib Al Mamun, Pantea Keikhosrokiani
Elsevier eBooks (2022), pp. 301-312
Closed Access | Times Cited: 5
A Computer Aided Technique for Classification of Patients with Diabetes
Faiza Mehreen, Attique Ur Rehman, Tahir Muhammad Ali, et al.
(2022), pp. 1-6
Closed Access | Times Cited: 5
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