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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:

Artificial Intelligence-Based Ensemble Learning Model for Prediction of Hepatitis C Disease
Edeh Michael Onyema, Surjeet Dalal, Imed Ben Dhaou, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

Heart disease risk prediction using deep learning techniques with feature augmentation
María Teresa Garcí­a-Ordás, Martí­n Bayón-Gutiérrez, Carmen Benavides, et al.
Multimedia Tools and Applications (2023) Vol. 82, Iss. 20, pp. 31759-31773
Open Access | Times Cited: 42
Application of Machine Learning for Cardiovascular Disease Risk Prediction
Surjeet Dalal, Pallavi Goel, Edeh Michael Onyema, et al.
Computational Intelligence and Neuroscience (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 35
Evaluation of IoT-Enabled hybrid model for genome sequence analysis of patients in healthcare 4.0
Edeh Michael Onyema, Umesh Kumar Lilhore, Praneet Saurabh, et al.
Measurement Sensors (2023) Vol. 26, pp. 100679-100679
Open Access | Times Cited: 29
Hybrid XGBoost model with hyperparameter tuning for prediction of liver disease with better accuracy
Surjeet Dalal, Edeh Michael Onyema, Amit Malik
World Journal of Gastroenterology (2022) Vol. 28, Iss. 46, pp. 6551-6563
Open Access | Times Cited: 33
A hybrid machine learning model for timely prediction of breast cancer
Surjeet Dalal, Edeh Michael Onyema, Pawan Kumar, et al.
Advances in Complex Systems (2022) Vol. 14, Iss. 04
Closed Access | Times Cited: 30
Artificial Intelligence-Based Teleopthalmology Application for Diagnosis of Diabetics Retinopathy
Samir Ghouali, Edeh Michael Onyema, Mohammed Seghir Guellil, et al.
IEEE Open Journal of Engineering in Medicine and Biology (2022) Vol. 3, pp. 124-133
Open Access | Times Cited: 30
A comprehensive health assessment approach using ensemble deep learning model for remote patient monitoring with IoT
R Gayathri, S. Maheswari, Sandeep Kumar Mathivanan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Hepatitis C prediction using SVM, logistic regression and decision tree
Anjuman Ara, Anhar Sami, D. Michael, et al.
World Journal of Advanced Research and Reviews (2024) Vol. 22, Iss. 2, pp. 926-936
Open Access | Times Cited: 4
Impact of Environmental Conditions on Renewable Energy Prediction: An Investigation Through Tree-Based Community Learning
Ferdi Doğan, Saadin Oyucu, Derya Betul Unsal, et al.
Applied Sciences (2025) Vol. 15, Iss. 1, pp. 336-336
Open Access
The use of Artificial Intelligence algorithms in drug development and clinical trials: A scoping review
Camila de Brito Pontes, Antônio Valério Netto
International Journal of Medical Informatics (2025) Vol. 195, pp. 105798-105798
Closed Access
Digital Psychiatry for the Treatment of Comorbid Disorders
Laura Orsolini, Michele Fiorani, Giulio Longo, et al.
(2025), pp. 447-476
Closed Access
A risk prediction model for type 2 diabetes mellitus complicated with retinopathy based on machine learning and its application in health management
Hong Pan, Jijia Sun, Xin Luo, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 11
Bootstrapping random forest and CHAID for prediction of white spot disease among shrimp farmers
Edeh Michael Onyema, Surjeet Dalal, Ibidun Christiana Obagbuwa, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 16
Overconfident AI? Benchmarking LLM Self-Assessment in Clinical Scenarios
Mahmud Omar, Reem Agbareia, Benjamin S. Glicksberg, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3
An objective model for diagnosing comorbid cognitive impairment in patients with epilepsy based on the clinical-EEG functional connectivity features
Zhe Ren, Yibo Zhao, Xiong Han, et al.
Frontiers in Neuroscience (2023) Vol. 16
Open Access | Times Cited: 8
Opportunities and challenges for the application of artificial intelligence paradigms into the management of endemic viral infections: The example of Chronic Hepatitis C Virus
Ahmed N. Farrag, Ahmed Kamel, Iman A. El‐Baraky
Reviews in Medical Virology (2024) Vol. 34, Iss. 2
Closed Access | Times Cited: 2
Real-Time Symptomatic Disease Predictor Using Multi-Layer Perceptron
Pancham Singh, Mrignainy Kansal, Ayush Pratap Singh, et al.
Advances in medical technologies and clinical practice book series (2024), pp. 155-167
Closed Access | Times Cited: 2
On leveraging self-supervised learning for accurate HCV genotyping
Ahmed M. Fahmy, Muhammed S. Hammad, Mai S. Mabrouk, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Development of a ChatBot model for health telecare: Integration of LangChain, embeddings with OpenAI, and Pinecone using the question answering technique
Oscar Efrén Cárdenas Villavicencio, S. Falconi, Eduardo Tusa, et al.
Journal of Applied Research and Technology (2024) Vol. 22, Iss. 3, pp. 389-402
Open Access | Times Cited: 2
Weighted Bayesian Belief Network: A Computational Intelligence Approach for Predictive Modeling in Clinical Datasets
Shweta Kharya, Edeh Michael Onyema, Aasim Zafar, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-8
Open Access | Times Cited: 10
The development of a machine learning algorithm for early detection of viral hepatitis B infection in Nigerian patients
Busayo I. Ajuwon, Alice Richardson, Katrina Roper, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 5
The Multi-Class Detection of Five Stages of Hepatitis C Using the Machine Learning Based Random Forest Algorithm
Sheikh Afaan Farooq
(2023), pp. 1-6
Closed Access | Times Cited: 4
EfficientNet Ensemble Learning: Identifying Ethiopian Medicinal Plant Species and Traditional Uses by Integrating Modern Technology with Ethnobotanical Wisdom
Mulugeta Adibaru Kiflie, Durga Prasad Sharma, Mesfin Abebe Haile, et al.
Computers (2024) Vol. 13, Iss. 2, pp. 38-38
Open Access | Times Cited: 1
Enhancing thyroid disease prediction with improved XGBoost model and bias management techniques
Surjeet Dalal, Umesh Kumar Lilhore, Neetu Faujdar, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1
IHCP: interpretable hepatitis C prediction system based on black-box machine learning models
Yongxian Fan, Xiqian Lu, Guicong Sun
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 4
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