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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 Fusion-Based Machine Learning Approach for the Prediction of the Onset of Diabetes
Muhammad Waqas Nadeem, Hock Guan Goh, Vasaki Ponnusamy, et al.
Healthcare (2021) Vol. 9, Iss. 10, pp. 1393-1393
Open Access | Times Cited: 88

Showing 1-25 of 88 citing articles:

Application of uncertainty quantification to artificial intelligence in healthcare: A review of last decade (2013–2023)
Silvia Seoni, Jahmunah Vicnesh, Massimo Salvi, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107441-107441
Open Access | Times Cited: 77
Predicting the Onset of Diabetes with Machine Learning Methods
Chun-Yang Chou, Ding‐Yang Hsu, Chun-Hung Chou
Journal of Personalized Medicine (2023) Vol. 13, Iss. 3, pp. 406-406
Open Access | Times Cited: 71
An Advance Approach for Diabetes Detection by Implementing Machine Learning Algorithms
Shagun Preet Kour, Abhishek Kumar, Sachin Ahuja
2022 IEEE World Conference on Applied Intelligence and Computing (AIC) (2023), pp. 136-141
Closed Access | Times Cited: 39
A novel machine learning approach for diagnosing diabetes with a self-explainable interface
Gangani Dharmarathne, Thilini N. Jayasinghe, Madhusha Bogahawaththa, et al.
Healthcare Analytics (2024) Vol. 5, pp. 100301-100301
Open Access | Times Cited: 31
An assessment of machine learning models and algorithms for early prediction and diagnosis of diabetes using health indicators
Victor Chang, Meghana Ashok Ganatra, Karl Hall, et al.
Healthcare Analytics (2022) Vol. 2, pp. 100118-100118
Closed Access | Times Cited: 59
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: 36
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: 36
A Comparative Analysis of Blockchain in Enhancing the Drug Traceability in Edible Foods Using Multiple Regression Analysis
K. Suresh Kumar, Vinay Kumar Nassa, Dipesh Uike, et al.
Journal of Food Quality (2022) Vol. 2022, pp. 1-6
Open Access | Times Cited: 28
Supervised Machine Learning-Based Prediction of Hydrogen Storage Classes Utilizing Dibenzyltoluene as an Organic Carrier
Ahsan Ali, Muhammad Adnan Khan, Hoimyung Choi
Molecules (2024) Vol. 29, Iss. 6, pp. 1280-1280
Open Access | Times Cited: 5
Diabetes type 2 classification using machine learning algorithms with up-sampling technique
Mariwan Hama Saeed
Journal of Electrical Systems and Information Technology (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 15
Feasibility Study of Type 2 Diabetes Mellitus Prediction Using Machine Learning Algorithms with Electrocadiogram Signals
Kwok Tai Chui, Brij B. Gupta, Pandian Vasant, et al.
Advances in intelligent systems and computing (2025), pp. 85-92
Closed Access
OptiDiab: revolutionizing diabetes detection with the binary bald eagle search algorithm
R. Karthikeyan, P. Geetha, E. Ramaraj
Multimedia Tools and Applications (2024) Vol. 83, Iss. 27, pp. 70169-70191
Closed Access | Times Cited: 3
Deep Learning Approach to Diagnose Alzheimer’s Disease through Magnetic Resonance Images
Muhammad Faraz Ahmad, Shahzad Akbar, Syed Al E Hassan, et al.
2021 International Conference on Innovative Computing (ICIC) (2021), pp. 1-6
Closed Access | Times Cited: 18
A feature optimization study based on a diabetes risk questionnaire
Liangjun Jiang, Zerui Yang, Gang Liu, et al.
Frontiers in Public Health (2024) Vol. 12
Open Access | Times Cited: 2
Revolutionizing Healthcare by Unleashing the Power of Machine Learning in Diagnosis and Treatment
Medini Gupta, Sarvesh Tanwar, Salil Bharany, et al.
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 3
Open Access | Times Cited: 2
Automatic Helmet Detection using EfficientDet
Muhammad Talha Ubaid, Amara Kiran, Muhammad Tayyab Raja, et al.
2021 International Conference on Innovative Computing (ICIC) (2021), pp. 1-9
Closed Access | Times Cited: 16
Comparative Approach for Early Diabetes Detection with Machine Learning
Shilpi Harnal, Arpit Jain, Anshika, et al.
2021 International Conference on Emerging Smart Computing and Informatics (ESCI) (2023), pp. 1-6
Closed Access | Times Cited: 6
تحليل مقارن لخوارزميات التعلم الآلي لتصنيف مرض السكري باستخدام تحليل مصفوفة الارتباك
Maad M. Mijwil, Mohammad Aljanabi
Baghdad Science Journal (2023) Vol. 21, Iss. 5, pp. 1712-1712
Open Access | Times Cited: 6
A stacked ensemble machine learning approach for the prediction of diabetes
Khondokar Oliullah, Mahedi Hasan Rasel, M. M. Islam, et al.
Journal of Diabetes & Metabolic Disorders (2023) Vol. 23, Iss. 1, pp. 603-617
Open Access | Times Cited: 6
Diabetes Prediction Using Machine Learning: A Detailed Insight
Gour Sundar Mitra Thakur, Subhayu Dutta, Bratajit Das
Communications in computer and information science (2024), pp. 159-173
Closed Access | Times Cited: 1
Predictive Value of the Total Bilirubin and CA50 Screened Based on Machine Learning for Recurrence of Bladder Cancer Patients
Xiaosong Zhang, Limin Ma
Cancer Management and Research (2024) Vol. Volume 16, pp. 537-546
Open Access | Times Cited: 1
Enhancing Coronary Artery Disease Prognosis: A Novel Dual-Class Boosted Decision Trees Strategy for Robust Optimization
Tariq Mahmood, Amjad Rehman, Tanzila Saba, et al.
IEEE Access (2024) Vol. 12, pp. 107119-107143
Open Access | Times Cited: 1
Machine learning-based assessment of diabetes risk
Qi Sun, Xin Cheng, Kuo Han, et al.
Applied Intelligence (2024) Vol. 55, Iss. 2
Closed Access | Times Cited: 1
A Review on Fog Computing for the Internet of Things
Waheed Javed, Gulnaz Parveen, Fatima Aabid, et al.
2021 International Conference on Innovative Computing (ICIC) (2021), pp. 1-7
Closed Access | Times Cited: 9
Sentiment Analysis of Customer for Ecommerce by Applying AI
M. Omer Aftab, Umer Ahmad, Shahid Khalid, et al.
2021 International Conference on Innovative Computing (ICIC) (2021), pp. 1-7
Closed Access | Times Cited: 9
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