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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:

A Machine Learning Methodology for Diagnosing Chronic Kidney Disease
Jiongming Qin, Lin Chen, Yuhua Liu, et al.
IEEE Access (2019) Vol. 8, pp. 20991-21002
Open Access | Times Cited: 252

Showing 1-25 of 252 citing articles:

Prediction of Chronic Kidney Disease - A Machine Learning Perspective
Pankaj Chittora, Sandeep Chaurasia, Prąsun Chakrabarti, et al.
IEEE Access (2021) Vol. 9, pp. 17312-17334
Open Access | Times Cited: 211
A Deep Neural Network for Early Detection and Prediction of Chronic Kidney Disease
Vijendra Singh, Vijayan K. Asari, Raj Rajkumar
Diagnostics (2022) Vol. 12, Iss. 1, pp. 116-116
Open Access | Times Cited: 140
Machine Learning (ML) in Medicine: Review, Applications, and Challenges
Amir Masoud Rahmani, Efat Yousefpoor, Mohammad Sadegh Yousefpoor, et al.
Mathematics (2021) Vol. 9, Iss. 22, pp. 2970-2970
Open Access | Times Cited: 131
Chronic kidney disease prediction based on machine learning algorithms
Md. Ariful Islam, Md. Ziaul Hasan Majumder, Md. Alomgeer Hussein
Journal of Pathology Informatics (2023) Vol. 14, pp. 100189-100189
Open Access | Times Cited: 117
Classification of Monkeypox Images Based on Transfer Learning and the Al-Biruni Earth Radius Optimization Algorithm
Abdelaziz A. Abdelhamid, El-Sayed M. El-kenawy, Nima Khodadadi, et al.
Mathematics (2022) Vol. 10, Iss. 19, pp. 3614-3614
Open Access | Times Cited: 99
Performance analysis of machine learning based optimized feature selection approaches for breast cancer diagnosis
Ajay Sharma, Pramod Kumar Mishra
International Journal of Information Technology (2021) Vol. 14, Iss. 4, pp. 1949-1960
Closed Access | Times Cited: 86
Comprehensive Performance Assessment of Deep Learning Models in Early Prediction and Risk Identification of Chronic Kidney Disease
Shamima Akter, Ahsan Habib, Md. Ashiqul Islam, et al.
IEEE Access (2021) Vol. 9, pp. 165184-165206
Open Access | Times Cited: 70
Meta-Heuristic Optimization of LSTM-Based Deep Network for Boosting the Prediction of Monkeypox Cases
Marwa M. Eid, El-Sayed M. El-kenawy, Nima Khodadadi, et al.
Mathematics (2022) Vol. 10, Iss. 20, pp. 3845-3845
Open Access | Times Cited: 69
Intelligent Diagnostic Prediction and Classification Models for Detection of Kidney Disease
Ramesh Chandra Poonia, Mukesh Kumar Gupta, Ibrahim Abunadi, et al.
Healthcare (2022) Vol. 10, Iss. 2, pp. 371-371
Open Access | Times Cited: 61
A Machine Learning Method with Filter-Based Feature Selection for Improved Prediction of Chronic Kidney Disease
Sarah A. Ebiaredoh-Mienye, Theo G. Swart, Ebenezer Esenogho, et al.
Bioengineering (2022) Vol. 9, Iss. 8, pp. 350-350
Open Access | Times Cited: 61
Predicting Chronic Kidney Disease Using Hybrid Machine Learning Based on Apache Spark
Manal A. Abdel-Fattah, Nermin Abdelhakim Othman, Nagwa Goher
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 47
Application of Neural Networks and Machine Learning in Image Recognition

Tehnicki vjesnik - Technical Gazette (2024) Vol. 31, Iss. 1
Open Access | Times Cited: 13
Artificial Intelligence in Kidney Disease: A Comprehensive Study and Directions for Future Research
Chieh-Chen Wu, Md. Mohaimenul Islam, Tahmina Nasrin Poly, et al.
Diagnostics (2024) Vol. 14, Iss. 4, pp. 397-397
Open Access | Times Cited: 11
Model Hibrida K-Nearest Neighbors Berbasis Genethic Algorithm untuk Prediksi Penyakit Ginjal Kronis
Sinta Rukiastiandari, Luthfia Rohimah, Aprillia Aprillia, et al.
Infotek Jurnal Informatika dan Teknologi (2025) Vol. 8, Iss. 1, pp. 44-55
Closed Access | Times Cited: 1
Machine learning for classifying chronic kidney disease and predicting creatinine levels using at-home measurements
Brady Metherall, Anna Berryman, Georgia S. Brennan
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Comprehensive Survey of IoT, Machine Learning, and Blockchain for Health Care Applications: A Topical Assessment for Pandemic Preparedness, Challenges, and Solutions
Muhammad Imran, Umar Zaman, Imran Imran, et al.
Electronics (2021) Vol. 10, Iss. 20, pp. 2501-2501
Open Access | Times Cited: 54
Exploring Early Prediction of Chronic Kidney Disease Using Machine Learning Algorithms for Small and Imbalanced Datasets
Andressa C. M. da Silveira, Álvaro Sobrinho, Leandro Dias da Silva, et al.
Applied Sciences (2022) Vol. 12, Iss. 7, pp. 3673-3673
Open Access | Times Cited: 32
Prediction of chronic kidney disease and its progression by artificial intelligence algorithms
Francesco Paolo Schena, Vito Walter Anelli, Daniela Isabel Abbrescia, et al.
Journal of Nephrology (2022) Vol. 35, Iss. 8, pp. 1953-1971
Closed Access | Times Cited: 30
Toward Comprehensive Chronic Kidney Disease Prediction Based on Ensemble Deep Learning Models
Deema Mohammed Alsekait, Hager Saleh, Lubna Abdelkareim Gabralla, et al.
Applied Sciences (2023) Vol. 13, Iss. 6, pp. 3937-3937
Open Access | Times Cited: 23
Machine learning models for chronic kidney disease diagnosis and prediction
M.M. Rahman, Md. Al-Amin, M. J. Hossain
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105368-105368
Closed Access | Times Cited: 18
Early prediction of chronic kidney disease based on ensemble of deep learning models and optimizers
Dina Saif, Amany Sarhan, Nada M. Elshennawy
Journal of Electrical Systems and Information Technology (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 8
Federated-Reinforcement Learning-Assisted IoT Consumers System for Kidney Disease Images
Mazin Abed Mohammed, Abdullah Lakhan, Karrar Hameed Abdulkareem, et al.
IEEE Transactions on Consumer Electronics (2024), pp. 1-1
Open Access | Times Cited: 7
Smart healthcare disease diagnosis and patient management: Innovation, improvement and skill development
Arkadip Ray, Avijit Kumar Chaudhuri
Machine Learning with Applications (2020) Vol. 3, pp. 100011-100011
Open Access | Times Cited: 47
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: 23
A survey of machine learning in kidney disease diagnosis
Jaber Qezelbash-Chamak, Saeid Badamchizadeh, Kourosh Eshghi, et al.
Machine Learning with Applications (2022) Vol. 10, pp. 100418-100418
Open Access | Times Cited: 23
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