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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:

Hybrid stacked ensemble combined with genetic algorithms for diabetes prediction
Jafar Abdollahi, Babak Nouri-Moghaddam
Iran Journal of Computer Science (2022) Vol. 5, Iss. 3, pp. 205-220
Open Access | Times Cited: 75

Showing 1-25 of 75 citing articles:

Ensemble Learning for Disease Prediction: A Review
Palak Mahajan, Shahadat Uddin, Farshid Hajati, et al.
Healthcare (2023) Vol. 11, Iss. 12, pp. 1808-1808
Open Access | Times Cited: 93
Diabetes prediction model using data mining techniques
Rashi Rastogi, Mamta Bansal
Measurement Sensors (2022) Vol. 25, pp. 100605-100605
Open Access | Times Cited: 68
An Ensemble Approach for the Prediction of Diabetes Mellitus Using a Soft Voting Classifier with an Explainable AI
Hafsa Binte Kibria, Md. Nahiduzzaman, Md. Omaer Faruq Goni, et al.
Sensors (2022) Vol. 22, Iss. 19, pp. 7268-7268
Open Access | Times Cited: 62
A hybrid method for heart disease diagnosis utilizing feature selection based ensemble classifier model generation
Jafar Abdollahi, Babak Nouri-Moghaddam
Iran Journal of Computer Science (2022) Vol. 5, Iss. 3, pp. 229-246
Open Access | Times Cited: 46
Unveiling the future of metabolic medicine: omics technologies driving personalized solutions for precision treatment of metabolic disorders
Samradhi Singh, Devojit Kumar Sarma, Vinod Verma, et al.
Biochemical and Biophysical Research Communications (2023) Vol. 682, pp. 1-20
Closed Access | Times Cited: 37
An Efficient Fault Diagnosis Framework for Digital Twins Using Optimized Machine Learning Models in Smart Industrial Control Systems
Samar M. Zayed, Gamal Attiya, Ayman El‐Sayed, et al.
International Journal of Computational Intelligence Systems (2023) Vol. 16, Iss. 1
Open Access | Times Cited: 21
A New Optimization Model for MLP Hyperparameter Tuning: Modeling and Resolution by Real-Coded Genetic Algorithm
Fatima Zahrae El-Hassani, Meryem Amri, Nour‐Eddine Joudar, et al.
Neural Processing Letters (2024) Vol. 56, Iss. 2
Open Access | Times Cited: 12
A comparative evaluation of machine learning ensemble approaches for disease prediction using multiple datasets
Palak Mahajan, Shahadat Uddin, Farshid Hajati, et al.
Health and Technology (2024) Vol. 14, Iss. 3, pp. 597-613
Open Access | Times Cited: 8
Identification of Medicinal Plants in Ardabil Using Deep learning : Identification of Medicinal Plants using Deep learning
Jafar Abdollahi
(2022), pp. 1-6
Closed Access | Times Cited: 35
KFPredict: An ensemble learning prediction framework for diabetes based on fusion of key features
Huamei Qi, Xiaomeng Song, Shengzong Liu, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 231, pp. 107378-107378
Closed Access | Times Cited: 16
Hybrid voting-GA ensemble learning for multi-class fault detection in digital twin-driven IIoT systems
Ezz El‐Din Hemdan, Samar M. Zayed, Gamal Attiya, et al.
Computing (2025) Vol. 107, Iss. 2
Closed Access
Detection of Metastatic Breast Cancer from Whole-Slide Pathology Images Using an Ensemble Deep-Learning Method
Jafar Abdollahi, Niyousha Davari, Yasin Panahi, et al.
Archives of Breast Cancer (2022), pp. 364-376
Open Access | Times Cited: 23
Diabetes prediction model using machine learning techniques
Sandip Kumar Singh Modak, Vijay Kumar Jha
Multimedia Tools and Applications (2023) Vol. 83, Iss. 13, pp. 38523-38549
Closed Access | Times Cited: 14
An effective correlation-based data modeling framework for automatic diabetes prediction using machine and deep learning techniques
Kiran Kumar Patro, Allam Jaya Prakash, Umamaheswararao Sanapala, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 13
Edge computing-based ensemble learning model for health care decision systems
Asir Chandra Shinoo Robert Vincent, Sudhakar Sengan
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
An intelligent forecasting system in Internet of Agriculture Things sensor network
Rashmita Sahu, Priyanka Tripathi
Ad Hoc Networks (2025), pp. 103752-103752
Closed Access
AI augmented edge and fog computing for Internet of Health Things (IoHT)
D. Rajagopal, P. Subramanian
PeerJ Computer Science (2025) Vol. 11, pp. e2431-e2431
Open Access
Early prediction of diabetics using three-layer classifier model and improved dimensionality reduction
G Keerthana, R. Mohanasundaram
Multimedia Tools and Applications (2025)
Closed Access
Diabetes Monitoring and Prediction Using Computational Intelligence Techniques: A Systematic Review
Padmalaya Nayak, J. Jyothi, V. Chinnari Harika, et al.
SN Computer Science (2025) Vol. 6, Iss. 3
Closed Access
AS-MPCA: An adaptive scheduling algorithm for industrial Internet of Things based on multi-population co-evolution
Anying Chai, Wang Lei, Chenyang Guo, et al.
Internet of Things (2025), pp. 101596-101596
Closed Access
Early Prediction of Diabetes Using Feature Selection and Machine Learning Algorithms
Jafar Abdollahi, Solmaz Aref
SN Computer Science (2024) Vol. 5, Iss. 2
Closed Access | Times Cited: 2
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
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
An Artificial Intelligence System for Detecting the Types of the Epidemic from X-rays : Artificial Intelligence System for Detecting the Types of the Epidemic from X-rays
Jafar Abdollahi, Laya Mahmoudi
(2022), pp. 1-6
Open Access | Times Cited: 11
A novel deep learning model for diabetes melliuts prediction in IoT-based healthcare environment with effective feature selection mechanism
R. Rajalakshmi, P. Sivakumar, L. Krishna Kumari, et al.
The Journal of Supercomputing (2023) Vol. 80, Iss. 1, pp. 271-291
Closed Access | Times Cited: 6
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