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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:

Hepatitis C Virus prediction based on machine learning framework: a real-world case study in Egypt
Heba Mamdouh Farghaly, Mahmoud Y. Shams, Tarek Abd El‐Hafeez
Knowledge and Information Systems (2023) Vol. 65, Iss. 6, pp. 2595-2617
Open Access | Times Cited: 58

Showing 1-25 of 58 citing articles:

Optimizing classification of diseases through language model analysis of symptoms
Esraa Hassan, Tarek Abd El‐Hafeez, Mahmoud Y. Shams
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 57
Evaluating the effectiveness of machine learning models for performance forecasting in basketball: a comparative study
George Papageorgiou, Vangelis Sarlis, Christos Tjortjis
Knowledge and Information Systems (2024) Vol. 66, Iss. 7, pp. 4333-4375
Open Access | Times Cited: 10
Multiclass liver disease prediction with adaptive data preprocessing and ensemble modeling
Abdullah Al Ahad, Bibhakar Das, Md Raihan Khan, et al.
Results in Engineering (2024) Vol. 22, pp. 102059-102059
Open Access | Times Cited: 10
Performance Comparison of Machine Learning Approaches on Hepatitis C Prediction Employing Data Mining Techniques
Azadeh Alizargar, Yang-Lang Chang, Tan-Hsu Tan
Bioengineering (2023) Vol. 10, Iss. 4, pp. 481-481
Open Access | Times Cited: 20
Enhancing Heart Attack Prediction with Machine Learning: A Study at Jordan University Hospital
Mohammad Alshraideh, Najwan Alshraideh, Abedalrahman Alshraideh, et al.
Applied Computational Intelligence and Soft Computing (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 7
Improved Kepler Optimization Algorithm for enhanced feature selection in liver disease classification
Essam H. Houssein, Nada Abdalkarim, Nagwan Abdel Samee, et al.
Knowledge-Based Systems (2024) Vol. 297, pp. 111960-111960
Closed Access | Times Cited: 6
Transforming Screening, Risk Stratification, and Treatment Optimization in Chronic Liver Disease Through Data Science and translational Innovation
Tamer A. Addissouky
The Indonesian Journal of Gastroenterology Hepatology and Digestive Endoscopy (2024) Vol. 25, Iss. 1, pp. 53-62
Open Access | Times Cited: 6
Transformers, convolutional neural networks, and few-shot learning for classification of histopathological images of oral cancer
Beatriz Matias Santana Maia, Maria Clara Falcão Ribeiro de Assis, Leandro M. de Lima, et al.
Expert Systems with Applications (2023) Vol. 241, pp. 122418-122418
Closed Access | Times Cited: 15
Machine Learning–Based Hyperglycemia Prediction: Enhancing Risk Assessment in a Cohort of Undiagnosed Individuals
Kolapo Oyebola, Funmilayo C. Ligali, Afolabi Owoloye, et al.
JMIRx Med (2024) Vol. 5, pp. e56993-e56993
Open Access | Times Cited: 4
Optimization of diabetes prediction methods based on combinatorial balancing algorithm
Huizhi Shao, Xiang Liu, DaShuai Zong, et al.
Nutrition and Diabetes (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
A Bayesian regularization intelligent computing scheme for the fractional dengue virus model
Manoj Gupta, Pattarasinee Bhattarakosol
Egyptian Informatics Journal (2025) Vol. 29, pp. 100606-100606
Open Access
Smart Diagnosis: Leveraging Machine Learning for Early Detection of Hepatitis in Healthcare
Harsh Mehta, Vyom Shah, Sashikala Mishra, et al.
International Journal of Online and Biomedical Engineering (iJOE) (2025) Vol. 21, Iss. 01, pp. 26-40
Open Access
A predictive study on HCV using automated machine learning models
S. Deger, Hakan Can
Computers in Biology and Medicine (2025) Vol. 188, pp. 109897-109897
Closed Access
Multi-criteria decision making: Revealing Afinitor as the leading brain tumor drug Using CRITIC, CoCoSo, and MABAC methods combined with QSPR analysis via Banhatti indices
Abid Mahboob, Laiba Amin, Muhammad Waheed Rasheed, et al.
Computers in Biology and Medicine (2025) Vol. 188, pp. 109820-109820
Closed Access
Learn the global prompt in the low-rank tensor space for heterogeneous federated learning
Lele Fu, Sheng Huang, Yuecheng Li, et al.
Neural Networks (2025) Vol. 187, pp. 107319-107319
Closed Access
Enhancing patient-independent detection of freezing of gait in Parkinson’s disease with deep adversarial network
Md Shah Fahad, Ashish Ranjan, Sudhir Kumar Sharma
Neural Computing and Applications (2025)
Closed Access
Explainable Ensemble-Based Machine Learning Models for Detecting the Presence of Cirrhosis in Hepatitis C Patients
Abrar Alotaibi, Lujain Alnajrani, Nawal Alsheikh, et al.
Computation (2023) Vol. 11, Iss. 6, pp. 104-104
Open Access | Times Cited: 9
A comprehensive review of explainable AI for disease diagnosis
Al Amin Biswas
Array (2024) Vol. 22, pp. 100345-100345
Open Access | Times Cited: 3
ConvNextUNet: A small-region attentioned model for cardiac MRI segmentation
Huiyi Zhang, Zemin Cai
Computers in Biology and Medicine (2024) Vol. 177, pp. 108592-108592
Closed Access | Times Cited: 3
Hepatitis C Prediction Using Machine Learning and Deep Learning-Based Hybrid Approach with Biomarker and Clinical Data
R. J. Ripa, Khandaker Mohammad Mohi Uddin, Mir Jafikul Alam, et al.
Deleted Journal (2024)
Closed Access | Times Cited: 3
A novel fusion of genetic grey wolf optimization and kernel extreme learning machines for precise diabetic eye disease classification
Abdul Qadir Khan, Guangmin Sun, Majdi Khalid, et al.
PLoS ONE (2024) Vol. 19, Iss. 5, pp. e0303094-e0303094
Open Access | Times Cited: 2
A comprehensive learning based swarm optimization approach for feature selection in gene expression data
S. Easwaran, V. Jothi Prakash, S. Arul Antran Vijay, et al.
Heliyon (2024) Vol. 10, Iss. 17, pp. e37165-e37165
Open Access | Times Cited: 2
Comparative Analysis of Machine Learning and Deep Learning Techniques for Liver Disease Prediction
C. Sathya, N. Uma Maheswari
Lecture notes in networks and systems (2024), pp. 445-455
Closed Access | Times Cited: 1
Applied Artificial Intelligence and Prospect of Internet of Everything (IoE) for the Detection of Tuberculosis
Ibrahim Omodamilola, Abdullahi Umar Ibrahim, Süleyman Aşır, et al.
Applied Artificial Intelligence (2024) Vol. 38, Iss. 1
Open Access | Times Cited: 1
Optimization of tree-based machine learning algorithms for improving the predictive accuracy of hepatitis C disease
Femilda Josephin Joseph Shobana Bai, R. Anita Jasmine
Elsevier eBooks (2024), pp. 523-545
Closed Access | Times Cited: 1
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