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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 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

Showing 1-25 of 36 citing articles:

Comparative performance analysis of Boruta, SHAP, and Borutashap for disease diagnosis: A study with multiple machine learning algorithms
Chukwuebuka Joseph Ejiyi, Zhen Qin, Chiagoziem C. Ukwuoma, et al.
Network Computation in Neural Systems (2024), pp. 1-38
Closed Access | Times Cited: 17
ATEDU-NET: An Attention-Embedded Deep Unet for multi-disease diagnosis in chest X-ray images, breast ultrasound, and retina fundus
Chukwuebuka Joseph Ejiyi, Zhen Qin, Victor Kwaku Agbesi, et al.
Computers in Biology and Medicine (2025) Vol. 186, pp. 109708-109708
Closed Access | Times Cited: 1
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
Heart Disease Prediction Using Novel Ensemble and Blending Based Cardiovascular Disease Detection Networks: EnsCVDD-Net and BlCVDD-Net
Hira Khan, Nadeem Javaid, Tariq Bashir, et al.
IEEE Access (2024) Vol. 12, pp. 109230-109254
Open Access | Times Cited: 8
ResfEANet: ResNet-fused External Attention Network for Tuberculosis Diagnosis using Chest X-ray Images
Chukwuebuka Joseph Ejiyi, Zhen Qin, Ann O. Nnani, et al.
Computer Methods and Programs in Biomedicine Update (2023) Vol. 5, pp. 100133-100133
Open Access | Times Cited: 19
Enhanced Cardiovascular Disease Prediction Modelling using Machine Learning Techniques: A Focus on CardioVitalnet
Chukwuebuka Joseph Ejiyi, Zhen Qin, Grace Ugochi Nneji, et al.
Network Computation in Neural Systems (2024), pp. 1-33
Closed Access | Times Cited: 7
Predictive model for early detection of type 2 diabetes using patients' clinical symptoms, demographic features, and knowledge of diabetes
Taiwo Adetola Ojurongbe, Habeeb Abiodun Afolabi, Adesola Oyekale, et al.
Health Science Reports (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 6
Predictive model and risk analysis for peripheral vascular disease in type 2 diabetes mellitus patients using machine learning and shapley additive explanation
Lianhua Liu, Bo Bi, Li Juan Cao, et al.
Frontiers in Endocrinology (2024) Vol. 15
Open Access | Times Cited: 5
Naïve Bayes is an interpretable and predictive machine learning algorithm in predicting osteoporotic hip fracture in-hospital mortality compared to other machine learning algorithms
Jo-Wai Douglas Wang
PLOS Digital Health (2025) Vol. 4, Iss. 1, pp. e0000529-e0000529
Open Access
An examination of the hybrid meta-heuristic machine learning algorithms for early diagnosis of type II diabetes using big data feature selection
Fatemeh Navazi, Yufei Yuan, Norm Archer
Healthcare Analytics (2023) Vol. 4, pp. 100227-100227
Open Access | Times Cited: 15
Optimizing diabetes classification with a machine learning-based framework
Xin Feng, Yihuai Cai, Ruihao Xin
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 12
Advancing cancer diagnosis and prognostication through deep learning mastery in breast, colon, and lung histopathology with ResoMergeNet
Chukwuebuka Joseph Ejiyi, Zhen Qin, Victor Kwaku Agbesi, et al.
Computers in Biology and Medicine (2024) Vol. 185, pp. 109494-109494
Closed Access | Times Cited: 4
An Effective Methodology for Diabetes Prediction in the Case of Class Imbalance
Borislava Toleva, I. Atanasov, Ivan Ivanov, et al.
Bioengineering (2025) Vol. 12, Iss. 1, pp. 35-35
Open Access
Attention-enriched deeper UNet (ADU-NET) for disease diagnosis in breast ultrasound and retina fundus images
Chukwuebuka Joseph Ejiyi, Zhen Qin, Victor Kwaku Agbesi, et al.
Progress in Artificial Intelligence (2024)
Closed Access | Times Cited: 3
An integrated data mining algorithms and meta-heuristic technique to predict the readmission risk of diabetic patients
Masoomeh Zeinalnezhad, Saman Shishehchi
Healthcare Analytics (2023) Vol. 5, pp. 100292-100292
Open Access | Times Cited: 10
MACCoM: A multiple attention and convolutional cross-mixer framework for detailed 2D biomedical image segmentation
Chukwuebuka Joseph Ejiyi, Zhen Qin, Makuachukwu Bennedith Ejiyi, et al.
Computers in Biology and Medicine (2024) Vol. 179, pp. 108847-108847
Closed Access | Times Cited: 3
Explainable Machine Learning for Credit Risk Management When Features are Dependent
Thanh Thao Vo Thuy, Golnoosh Babaei, Paolo Pagnottoni
Measurement Interdisciplinary Research and Perspectives (2024) Vol. 22, Iss. 4, pp. 315-340
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
Polynomial-SHAP analysis of liver disease markers for capturing of complex feature interactions in machine learning models
Chukwuebuka Joseph Ejiyi, Dongsheng Cai, Makuachukwu Bennedith Ejiyi, et al.
Computers in Biology and Medicine (2024) Vol. 182, pp. 109168-109168
Closed Access | Times Cited: 2
Exploring Nutritional Influence on Blood Glucose Forecasting for Type 1 Diabetes Using Explainable AI
Giovanni Annuzzi, Andrea Apicella, Pasquale Arpaïa, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 5, pp. 3123-3133
Open Access | Times Cited: 6
Improving Machine Learning Performance for Diabetes Prediction
Jawad Benabderrahmane, Mohammed Kasri, Inssaf El Guabassi, et al.
Lecture notes in networks and systems (2024), pp. 361-371
Closed Access | Times Cited: 1
Identifying diagnostic indicators for type 2 diabetes mellitus from physical examination using interpretable machine learning approach
Xiang Lv, Jiesi Luo, Wei Huang, et al.
Frontiers in Endocrinology (2024) Vol. 15
Open Access | Times Cited: 1
An evaluation framework for diabetes prediction techniques using machine learning
Aya Ahmed Hashim, Ayad Hameed Mousa
BIO Web of Conferences (2024) Vol. 97, pp. 00125-00125
Open Access | Times Cited: 1
Enhancing Diabetes Prediction: An Improved Boosting Algorithm for Diabetes Prediction
Md Shahin Alam, Jannatul Ferdous, Nishat Sarkar Neera
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 5
Open Access | Times Cited: 1
Artificial intelligence-empowered assessment of bile duct stone removal challenges
Zheng Wang, Hao Yuan, Kaibin Lin, et al.
Expert Systems with Applications (2024) Vol. 258, pp. 125146-125146
Open Access | Times Cited: 1
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