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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:

Data mining in predicting liver patients using classification model
Shubashini Rathina Velu, Vinayakumar Ravi, Kayalvily Tabianan
Health and Technology (2022) Vol. 12, Iss. 6, pp. 1211-1235
Open Access | Times Cited: 18

Showing 18 citing articles:

A comparative analysis of boosting algorithms for chronic liver disease prediction
Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik
Healthcare Analytics (2024) Vol. 5, pp. 100313-100313
Open Access | Times Cited: 6
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
Explainability enhanced liver disease diagnosis technique using tree selection and stacking ensemble-based random forest model
Mohammad Mamun, Safiul Haque Chowdhury, Muhammad Minoar Hossain, et al.
Informatics and Health (2025) Vol. 2, Iss. 1, pp. 17-40
Open Access
Discovering new interaction between genes in extrahepatic Cholangiocarcinoma using Bayesian networks
Fatemeh Salboukh, Aria Jahanimoghadam, Yashar Mousavi
Network Modeling Analysis in Health Informatics and Bioinformatics (2025) Vol. 14, Iss. 1
Open Access
Hyperparameter optimization for cardiovascular disease data-driven prognostic system
Jayson Saputra, Cindy Lawrencya, Jecky Mitra Saini, et al.
Visual Computing for Industry Biomedicine and Art (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 8
Development of a prediction model for the depression level of the elderly in low-income households: using decision trees, logistic regression, neural networks, and random forest
Kyu-Min Kim, Jae-Hak Kim, Hyun-Sill Rhee, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
Accuracy Prediction using Machine Learning Techniques for Indian Patient Liver Disease
Shylaja DS, M. Roshini Karunya, J Oliviya, et al.
2022 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES) (2023), pp. 614-618
Closed Access | Times Cited: 7
Advances in QSAR through artificial intelligence and machine learning methods
Chandrabose Selvaraj, Elakkiya Elango, Paulraj Prabhu, et al.
Elsevier eBooks (2023), pp. 101-116
Closed Access | Times Cited: 5
An efficient, lightweight MobileNetV2-based fine-tuned model for COVID-19 detection using chest X-ray images
Shubashini Rathina Velu
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 5, pp. 8400-8427
Open Access | Times Cited: 3
Usage of Weka Software Based on Machine Learning Algorithms for Prediction of Liver Fibrosis/Cirrhosis
Rukiye Uzun Arslan, Ziynet Pamuk, Ceren Kaya
Black Sea Journal of Engineering and Science (2024) Vol. 7, Iss. 3, pp. 445-456
Open Access
Consistency, local stability, and approximation of Shapash explanation
Tsehay Admassu Assegie, Bommy Manivannan, N. Komal Kumar, et al.
TELKOMNIKA (Telecommunication Computing Electronics and Control) (2024) Vol. 22, Iss. 3, pp. 673-673
Open Access
AI-Powered Automated Methods for Predicting Liver Disease: A Recent Review
Jayashree Patil, Shwetambari Chiwhane
Communications in computer and information science (2024), pp. 161-172
Closed Access
Improved liver disease prediction from clinical data through an evaluation of ensemble learning approaches
Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Zhongming Zhao
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access
Advancing Medical Predictive Models with Integrated Approaches
Aman Kumar, Randeep Singh
Communications in computer and information science (2024), pp. 362-379
Closed Access
Artificial intelligence-powered precision: Unveiling the landscape of liver disease diagnosis—A comprehensive review
Satya Gautam Vadlamudi, Vimal Kumar, Debjani Ghosh, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109452-109452
Closed Access
A Computational Investigation on Precision Autism and Metabolic Disorders: Predictive Machine Learning for Hepatic Ailment Classification
Shomona Gracia Jacob, Bensujin Bennet, Majdi Mohammed Bait Ali Sulaiman
(2023), pp. 76-82
Closed Access | Times Cited: 1
A Novel Application of K-means Cluster Prediction Model for Diabetes Early Identification using Dimensionality Reduction Techniques
Vamshi Krishna B, Richard Kinh Gian, A. P. Bhuvaneswari, et al.
The Open Bioinformatics Journal (2023) Vol. 16, Iss. 1
Open Access | Times Cited: 1
An optimal Bi-gated recurrent unit and ResNET using IoT for healthcare monitoring
Aswini Jayaraman, Periasamy Karuppannan Jangalapuram, Chinnasamy Ambayiram, et al.
Expert Systems with Applications (2023) Vol. 247, pp. 122818-122818
Closed Access
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