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:

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

Showing 8 citing articles:

Deep learning model for detection of hotspots using infrared thermographic images of electrical installations
Ezechukwu Kalu Ukiwe, Steve A. Adeshina, Tsado Jacob, et al.
Journal of Electrical Systems and Information Technology (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 5

Assessment of Water Hydrochemical Parameters Using Machine Learning Tools
Ivan Malashin, Vladimir Nelyub, А. С. Бородулин, et al.
Sustainability (2025) Vol. 17, Iss. 2, pp. 497-497
Open Access

Early prediction of CKD from time series data using adaptive PSO optimized echo state networks
Thangadurai Anbazhagan, R. Balamurugan
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Integrating Innovation in Healthcare: The Evolution of “CURA’s” AI-Driven Virtual Wards for Enhanced Diabetes and Kidney Disease Monitoring
Mohammed Aljaafari, Shorouk E. El-deep, Amr A. Abohany, et al.
IEEE Access (2024) Vol. 12, pp. 126389-126414
Open Access | Times Cited: 2

Deep learning based RAGAE-SVM for Chronic kidney disease diagnosis on internet of health things platform
Prabhakar Kandukuri, Ashu Abdul, Kuchipudi Prasanth Kumar, et al.
Multimedia Tools and Applications (2024)
Closed Access

Novel statistically equivalent signature-based hybrid feature selection and ensemble deep learning LSTM and GRU for chronic kidney disease classification
N. V. REDDY Yogesh, Purohit Shrinivasacharya, Nagaraj Naik
PeerJ Computer Science (2024) Vol. 10, pp. e2467-e2467
Open Access

Conceptual metaphor quantum correlation and radial basis extreme learning for predicting chronic kidney disease
Muralidharan Jayashree, A. N.
Computers & Electrical Engineering (2024) Vol. 122, pp. 109933-109933
Closed Access

The Use of Machine Learning Models with Optuna in Disease Prediction
Lee‐Lun Lai, Ying-Lei Lin, Yuhui Liu, et al.
Electronics (2024) Vol. 13, Iss. 23, pp. 4775-4775
Open Access

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