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:

Snake-Efficient Feature Selection-Based Framework for Precise Early Detection of Chronic Kidney Disease
Walaa N. Ismail
Diagnostics (2023) Vol. 13, Iss. 15, pp. 2501-2501
Open Access | Times Cited: 9

Showing 9 citing articles:

Early Prediction and Progrssion of Chronic Kidney Disease Using Machine Lerning Techniques
Neha Sonone, A. Daniel
(2024), pp. 1-6
Closed Access | Times Cited: 2

Precision in Dermatology: Developing an Optimal Feature Selection Framework for Skin Lesion Classification
Tallha Akram, Riaz Junejo, Anas Alsuhaibani, et al.
Diagnostics (2023) Vol. 13, Iss. 17, pp. 2848-2848
Open Access | Times Cited: 2

An effective role-oriented binary Walrus Grey Wolf approach for feature selection in early-stage chronic kidney disease detection
B Mamatha, Sujatha Terdal
International Urology and Nephrology (2024) Vol. 56, Iss. 9, pp. 3133-3154
Closed Access

The Importance of Early Detection and Risk Assessment for Chronic Disease Based on IF-ORBF-DA Approach
Marwin Britto, Dileep Pulugu, R. Stella Maragatham, et al.
(2024), pp. 1-6
Closed Access

Employability Of The Machine Learning Tools And Techniques In The Early Detection And Diagnosis Of Chronic Kidney Disease
Vivek Goel
International Journal of Research in Medical Sciences & Technology (2024) Vol. 18, Iss. 1, pp. 27-33
Closed Access

Chronic kidney disease prediction using improved deep belief network with local search nearest neighbour optimization
P. Pradeepa, M. K. Jeyakumar
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2023) Vol. 11, Iss. 7
Closed Access | Times Cited: 1

RG-SVM: Recursive gaussian support vector machine based feature selection algorithm for liver disease classification
Prasannavenkatesan Theerthagiri, Sahana Devarayapattana Siddalingaiah
Multimedia Tools and Applications (2023) Vol. 83, Iss. 20, pp. 59021-59042
Closed Access | Times Cited: 1

Chronic Kidney Diseases Prediction Using Machine Learning Algorithms
Utkarsh Upadhayay, Aarush Kumar, Purvak Pal, et al.
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2023) Vol. 07, Iss. 11, pp. 1-11
Open Access

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