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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:

Supervised machine learning based liver disease prediction approach with LASSO feature selection
Saima Afrin, F. M. Javed Mehedi Shamrat, Tafsirul Islam Nibir, et al.
Bulletin of Electrical Engineering and Informatics (2021) Vol. 10, Iss. 6, pp. 3369-3376
Open Access | Times Cited: 36

Showing 1-25 of 36 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: 11
Breast cancer detection: an effective comparison of different machine learning algorithms on the Wisconsin dataset
Md. Murad Hossin, F. M. Javed Mehedi Shamrat, Md Rifat Bhuiyan, et al.
Bulletin of Electrical Engineering and Informatics (2023) Vol. 12, Iss. 4, pp. 2446-2456
Open Access | Times Cited: 14
A Deep Prediction of Chronic Kidney Disease by Employing Machine Learning Method
Deepanita Baidya, Umme Umaima, Md Nazrul Islam, et al.
2022 6th International Conference on Trends in Electronics and Informatics (ICOEI) (2022), pp. 1305-1310
Closed Access | Times Cited: 22
Polynomial-SHAP analysis of liver disease markers for capturing of complex feature interactions in machine learning models
Chukwuebuka Joseph Ejiyi, Dongsheng Cai, Makuachukwu Bennedith Ejiyi, et al.
Computers in Biology and Medicine (2024) Vol. 182, pp. 109168-109168
Closed Access | Times Cited: 4
Liver Disease Diagnosis Using Machine Learning and Deep Learning Techniques: An Experimental Approach
Satyam Kumar, Anirudh Singh, P Rajendra Prasad, et al.
(2025), pp. 455-469
Closed Access
An effective approach for early liver disease prediction using deep learning method with immunity-based Boosted Ebola optimization search algorithm
Arelli Madhavi, Srinivas Prasad
Expert Systems with Applications (2025), pp. 127711-127711
Closed Access
Gene selection and liver classification using machine learning
Sachinkumar Anandpal Goswami, Kashyap C. Patel, Saurabh Dave
Elsevier eBooks (2025), pp. 135-143
Closed Access
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
A Promising Prediction of Diabetes Using a Deep Learning Approach
Rashiduzzaman Shakil, Bonna Akter, Fahim Faisal, et al.
2022 6th International Conference on Computing Methodologies and Communication (ICCMC) (2022), pp. 923-927
Closed Access | Times Cited: 12
Sensor based Smart Automated Gas Leakage Detection and Prevention System
Zarrin Tasnim, Saikat Das, Md. Rakibul Islam, et al.
2022 6th International Conference on Trends in Electronics and Informatics (ICOEI) (2022)
Closed Access | Times Cited: 9
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
Monthly exchange rate prediction based on artificial intelligence models and Iraqi Dinar against United States dollar
Kadhem Al-Daffaiea, Mohanad S. AL‐Musaylh, Qasim Rhaif Mrebit Al-Faisal, et al.
AIP conference proceedings (2024) Vol. 3232, pp. 030001-030001
Closed Access | Times Cited: 1
A Novel Adaptive Sand Cat Swarm Optimization Algorithm for Feature Selection and Global Optimization
Ruru Liu, Rencheng Fang, Tao Zeng, et al.
Biomimetics (2024) Vol. 9, Iss. 11, pp. 701-701
Open Access | Times Cited: 1
A feature selection method for multimodal multispectral LiDAR sensing
Yu Han, David Salido-Monzú, Jemil Avers Butt, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 212, pp. 42-57
Open Access | Times Cited: 1
Systematic Analysis of Several Deep Learning Approaches for COVID-19 Detection Using X-ray Images
Rashiduzzaman Shakil, Bonna Akter, F. M. Javed Mehedi Shamrat, et al.
2022 3rd International Conference on Smart Electronics and Communication (ICOSEC) (2022), pp. 1301-1307
Closed Access | Times Cited: 6
Multiclass Classification of Liver Diseases using Optimized Machine Learning Classifiers
Priyanka Verma, Ketki Deshmukh, Deepa Krishnan
(2023), pp. 461-466
Closed Access | Times Cited: 3
Utilization of Five-Distinct Dataset to Diagnose and Predict Heart Disease: A Machine Learning Approach
Bonna Akter, Rashiduzzaman Shakil, Aditya Rajbongshi, et al.
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2022), pp. 1-6
Closed Access | Times Cited: 5
Breast cancer detection: an effective comparison of different machine learning algorithms on the Wisconsin dataset
Md. Murad Hossin, F. M. Javed Mehedi Shamrat, Md Rifat Bhuiyan, et al.
Bulletin of Electrical Engineering and Informatics (2023) Vol. 12, Iss. 4, pp. 2446-2456
Open Access | Times Cited: 2
Comparison of various data mining methods for early diagnosis of human cardiology
Abeer Mohammed Shanshool, Enas Mohammed Hussien Saeed, Hasan H. Khaleel
IAES International Journal of Artificial Intelligence (2023) Vol. 12, Iss. 3, pp. 1343-1343
Open Access | Times Cited: 2
Identification and Prediction of Hepatitis B and NAFLD using Machine Learning
Umang Garg, Urmila, Rahul Singh Pundir, et al.
2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) (2023), pp. 213-218
Closed Access | Times Cited: 2
A Machine Learning-Based Traditional and Ensemble Technique for Predicting Breast Cancer
Aunik Hasan Mridul, Md. Jahidul Islam, Asifuzzaman Asif, et al.
Lecture notes in networks and systems (2023), pp. 237-248
Closed Access | Times Cited: 2
Predictive machine learning applying cross industry standard process for data mining for the diagnosis of diabetes mellitus type 2
Victor Garcia-Rios, Marieta Marres-Salhuana, Fernando Sierra-Liñan, et al.
IAES International Journal of Artificial Intelligence (2023) Vol. 12, Iss. 4, pp. 1713-1713
Open Access | Times Cited: 2
Employing a Hybrid Convolutional Neural Network and Extreme Learning Machine for Precision Liver Disease Forecasting
Araddhana Arvind Deshmukh, R. V. V. Krishna, Rahama Salman, et al.
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 2
Open Access
Embedded Feature Selection Approach Using Penalized Logistic Regression for Universal Steganalysis
Ankita Gupta, Rita Chhikara, Prabha Sharma
Procedia Computer Science (2024) Vol. 235, pp. 1590-1599
Open Access
Towards an Accurate Liver Disease Prediction Based on Two-level Ensemble Stacking Model
Marghany Hassan Mohamed, Botheina Hussein Ali, Ahmed I. Taloba, et al.
IEEE Access (2024) Vol. 12, pp. 180210-180237
Open Access
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