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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:

Statistical Machine Learning Approaches to Liver Disease Prediction
Fahad Mostafa, Easin Hasan, Morgan Williamson, et al.
Livers (2021) Vol. 1, Iss. 4, pp. 294-312
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Clinical Applications of Artificial Intelligence—An Updated Overview
Ștefan Busnatu, Adelina-Gabriela Niculescu, Alexandra Bolocan, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 8, pp. 2265-2265
Open Access | Times Cited: 100
Automatic Liver Tumor Classification Using UNet70 a Deep Learning Model.
Yashaswini Gowda N, Ian McLoughlin
Journal of Liver Transplantation (2025), pp. 100260-100260
Open Access | Times Cited: 1
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
Recent Advances in Managing Spinal Intervertebral Discs Degeneration
Bogdan Costăchescu, Adelina-Gabriela Niculescu, Raluca Ioana Teleanu, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 12, pp. 6460-6460
Open Access | Times Cited: 34
Deep learning algorithm performance evaluation in detection and classification of liver disease using CT images
R Manjunath, Anshul Ghanshala, Karibasappa Kwadiki
Multimedia Tools and Applications (2023) Vol. 83, Iss. 1, pp. 2773-2790
Open Access | Times Cited: 20
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
CNN with machine learning approaches using ExtraTreesClassifier and MRMR feature selection techniques to detect liver diseases on cloud
Madhusudan G. Lanjewar, Jivan S. Parab, Arman Yusuf Shaikh, et al.
Cluster Computing (2022) Vol. 26, Iss. 6, pp. 3657-3672
Closed Access | Times Cited: 24
Enhancing Liver Disease Detection and Management with Advanced Machine Learning Models
K. Venkata Rao, Juthuka Aruna Devi, Anuradha Yarlagadda, et al.
International Journal of experimental research and review (2024) Vol. 42, pp. 100-110
Open Access | Times Cited: 4
Random Forest Classifier Assessment on Liver Disease Estimating Through Smote-ENN Balancing for Precision and Complexity Matrix
Pinamala Sruthi, R. Suhasini, V. Narasimha, et al.
Cognitive science and technology (2025), pp. 285-301
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
Exploring Hyper-Parameters and Feature Selection for Predicting Non-Communicable Chronic Disease Using Stacking Classifier
Pooja Yadav, S. C. Sharma, Rajesh Mahadeva, et al.
IEEE Access (2023) Vol. 11, pp. 80030-80055
Open Access | Times Cited: 9
Optimizing Prediction of Liver Disease Using Machine Learning Algorithms
Rachna, Tanish Jain, Deepak Shandilya, et al.
(2024), pp. 151-172
Closed Access | Times Cited: 3
Random forest and support vector machine based hybrid liver disease detection
Tsehay Admassu Assegie, R. Subhashni, N. Komal Kumar, et al.
Bulletin of Electrical Engineering and Informatics (2022) Vol. 11, Iss. 3, pp. 1650-1656
Open Access | Times Cited: 13
Tabular Data Generation to Improve Classification of Liver Disease Diagnosis
Mohammad Alauthman, Amjad Aldweesh, Ahmad Al–Qerem, et al.
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2678-2678
Open Access | Times Cited: 7
A deep learning approach for acute liver failure prediction with combined fully connected and convolutional neural networks
Hefu Xie, Bingbing Wang, Yuanzhen Hong
Technology and Health Care (2024) Vol. 32, pp. 555-564
Open Access | Times Cited: 2
A comparative analysis of machine learning algorithms with tree-structured parzen estimator for liver disease prediction
Rakibul Islam, Azrin Sultana, Md. Nuruzzaman Tuhin
Healthcare Analytics (2024) Vol. 6, pp. 100358-100358
Open Access | Times Cited: 2
Liver disease classification using histogram-based gradient boosting classification tree with feature selection algorithm
Prasannavenkatesan Theerthagiri
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107102-107102
Closed Access | Times Cited: 2
Investigation of the effectiveness of a classification method based on improved DAE feature extraction for hepatitis C prediction
Lin Zhang, Jixin Wang, Rui Chang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Prediction of Liver Disease In Patients Using Logistic Regression of Machine Learning
Harsha Vardhan, Dr K Ramesh babu, G. Lokeswar Raju, et al.
International Journal of Research Publication and Reviews (2024) Vol. 5, Iss. 5, pp. 4287-4292
Open Access | Times Cited: 1
A Combination of Transfer Learning and Support Vector Machine for Robust Classification on Small Weed and Potato Datasets
Faisal Dharma Adhinata, Nur Ghaniaviyanto Ramadhan, Nia Annisa Ferani Tanjung, et al.
JOIV International Journal on Informatics Visualization (2023) Vol. 7, Iss. 2, pp. 535-535
Open Access | Times Cited: 3
Efficient Diagnosis of Liver Disease using Deep Learning Technique
Nosheen Jillani, Asad Masood Khattak, Muhammad Zubair Asghar, et al.
2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (2023) Vol. 20, pp. 1-6
Closed Access | Times Cited: 3
Predictive Analysis for Hepatitis and Cirrhosis Liver Disease using Machine Learning Algorithms
A Tamilarasi, K Chitra, J Swetha, et al.
2022 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC) (2022), pp. 873-877
Closed Access | Times Cited: 5
ANALISA KINERJA ALGORITMA MACHINE LEARNING UNTUK PREDIKSI VIRUS HEPATITIS C
Rahmad Gunawan Gunawan, Muhammad Ilham Pratama
Jurnal CoSciTech (Computer Science and Information Technology) (2024) Vol. 4, Iss. 3, pp. 772-777
Open Access
Prediction of Liver Disease patients using NaiveBayes and Random Forest 1

International Journal of Progressive Research in Engineering Management and Science (2024)
Open Access
Evaluation of Machine Learning Algorithms for Early Prediction of Liver Disease
Sushmitha Geddam, Sulaf Assi, Hadi Naghavipour, et al.
Lecture notes on data engineering and communications technologies (2024), pp. 521-530
Closed Access
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