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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:

Predicting Diabetes Mellitus With Machine Learning Techniques
Quan Zou, Kaiyang Qu, Yamei Luo, et al.
Frontiers in Genetics (2018) Vol. 9
Open Access | Times Cited: 753

Showing 1-25 of 753 citing articles:

Classification Based on Decision Tree Algorithm for Machine Learning
Bahzad Charbuty, Adnan Mohsin Abdulazeez
Journal of Applied Science and Technology Trends (2021) Vol. 2, Iss. 01, pp. 20-28
Open Access | Times Cited: 1264
A systematic literature review on obesity: Understanding the causes & consequences of obesity and reviewing various machine learning approaches used to predict obesity
Mahmood Safaei, Elankovan Sundararajan, Maha Driss, et al.
Computers in Biology and Medicine (2021) Vol. 136, pp. 104754-104754
Open Access | Times Cited: 444
A comparison of machine learning algorithms for diabetes prediction
Jobeda J Khanam, Simon Y. Foo
ICT Express (2021) Vol. 7, Iss. 4, pp. 432-439
Open Access | Times Cited: 318
Early detection of type 2 diabetes mellitus using machine learning-based prediction models
Leon Kopitar, Primož Kocbek, Leona Cilar, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 286
Prediction of Type 2 Diabetes using Machine Learning Classification Methods
Neha Prerna Tigga, Shruti Garg
Procedia Computer Science (2020) Vol. 167, pp. 706-716
Open Access | Times Cited: 283
Classification and prediction of diabetes disease using machine learning paradigm
Md. Maniruzzaman, Md. Jahanur Rahman, Benojir Ahammed, et al.
Health Information Science and Systems (2020) Vol. 8, Iss. 1
Open Access | Times Cited: 274
Artificial Intelligence: The Future for Diabetes Care
Samer Ellahham
The American Journal of Medicine (2020) Vol. 133, Iss. 8, pp. 895-900
Closed Access | Times Cited: 274
A Machine Learning Methodology for Diagnosing Chronic Kidney Disease
Jiongming Qin, Lin Chen, Yuhua Liu, et al.
IEEE Access (2019) Vol. 8, pp. 20991-21002
Open Access | Times Cited: 252
Predictive models for diabetes mellitus using machine learning techniques
Hang Lai, Huaxiong Huang, Karim Keshavjee, et al.
BMC Endocrine Disorders (2019) Vol. 19, Iss. 1
Open Access | Times Cited: 243
Deep neural networks to predict diabetic retinopathy
Thippa Reddy Gadekallu, Neelu Khare, Sweta Bhattacharya, et al.
Journal of Ambient Intelligence and Humanized Computing (2020) Vol. 14, Iss. 5, pp. 5407-5420
Closed Access | Times Cited: 229
Machine learning and artificial intelligence based Diabetes Mellitus detection and self-management: A systematic review
Jyotismita Chaki, S. Thillai Ganesh, S.K Cidham, et al.
Journal of King Saud University - Computer and Information Sciences (2020) Vol. 34, Iss. 6, pp. 3204-3225
Open Access | Times Cited: 198
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
A Novel Diabetes Healthcare Disease Prediction Framework Using Machine Learning Techniques
R. Krishnamoorthi, Shubham Joshi, Hatim Z. Almarzouki, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 182
A Comparative Analysis of Breast Cancer Detection and Diagnosis Using Data Visualization and Machine Learning Applications
Muhammet Fatih Ak
Healthcare (2020) Vol. 8, Iss. 2, pp. 111-111
Open Access | Times Cited: 177
Application of Machine Learning in Microbiology
Kaiyang Qu, Fei Guo, Xiangrong Liu, et al.
Frontiers in Microbiology (2019) Vol. 10
Open Access | Times Cited: 174
Predicting Type 2 Diabetes Using Logistic Regression and Machine Learning Approaches
Ram D. Joshi, Chandra Dhakal
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 14, pp. 7346-7346
Open Access | Times Cited: 171
Artificial Intelligence and Internet of Things Based Healthcare 4.0 Monitoring System
Amit Kishor, Chinmay Chakraborty
Wireless Personal Communications (2021) Vol. 127, Iss. 2, pp. 1615-1631
Closed Access | Times Cited: 167
Applying Machine Learning in Liver Disease and Transplantation: A Comprehensive Review
Ashley Spann, Angeline Yasodhara, Justin S. Kang, et al.
Hepatology (2020) Vol. 71, Iss. 3, pp. 1093-1105
Closed Access | Times Cited: 165
Prediction of Type 2 Diabetes Based on Machine Learning Algorithm
Henock M. Deberneh, Intaek Kim
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 6, pp. 3317-3317
Open Access | Times Cited: 161
Risk Prediction of Diabetes: Big data mining with fusion of multifarious physical examination indicators
Hui Yang, Yamei Luo, Xiaolei Ren, et al.
Information Fusion (2021) Vol. 75, pp. 140-149
Closed Access | Times Cited: 156
Diabetes mellitus prediction and diagnosis from a data preprocessing and machine learning perspective
Chollette C. Olisah, Lyndon Smith, Melvyn Smith
Computer Methods and Programs in Biomedicine (2022) Vol. 220, pp. 106773-106773
Open Access | Times Cited: 135
Efficient Automated Disease Diagnosis Using Machine Learning Models
Naresh Kumar, Nripendra Narayan Das, Deepali Gupta, et al.
Journal of Healthcare Engineering (2021) Vol. 2021, pp. 1-13
Open Access | Times Cited: 123
Machine learning and deep learning predictive models for type 2 diabetes: a systematic review
Luis Fregoso-Aparicio, Julieta Noguez, Luis Montesinos, et al.
Diabetology & Metabolic Syndrome (2021) Vol. 13, Iss. 1
Open Access | Times Cited: 114
A Smart Healthcare Recommendation System for Multidisciplinary Diabetes Patients with Data Fusion Based on Deep Ensemble Learning
Baha Ihnaini, Muhammad Adnan Khan, Tahir Abbas Khan, et al.
Computational Intelligence and Neuroscience (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 109
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: 107
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