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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:

ML-CKDP: Machine learning-based chronic kidney disease prediction with smart web application
Rajib Kumar Halder, Mohammed Nasir Uddin, Md Ashraf Uddin, et al.
Journal of Pathology Informatics (2024) Vol. 15, pp. 100371-100371
Open Access | Times Cited: 13

Showing 13 citing articles:

ACD-ML: Advanced CKD detection using machine learning: A tri-phase ensemble and multi-layered stacking and blending approach
Md Arif Hossain, Shajreen Tabassum Diya, Riasat Khan
Computer Methods and Programs in Biomedicine Update (2025), pp. 100173-100173
Open Access
PLASMA: Partial LeAst Squares for Multiomics Analysis
Kyoko Yamaguchi, Salma Abdelbaky, Lianbo Yu, et al.
Cancers (2025) Vol. 17, Iss. 2, pp. 287-287
Open Access
Chronic Kidney Disease Diagnosis Using Machine Learning
P S Thanigaivelu, Pratik Pratik, Surendra Prajapati
SSRN Electronic Journal (2025)
Closed Access
Implementation of Machine Learning and Ensemble Learning Models for the Prediction of CKD and Drugs Side-Effect
P. AnnanNaidu, A. VenkataMahesh, Sura Paparao, et al.
Lecture notes in electrical engineering (2025), pp. 93-110
Closed Access
A recursive embedding and clustering technique for unraveling asymptomatic kidney disease using laboratory data and machine learning
Eman Alqaissi, Abdulmohsen Algarni, Mohammed S. Alshehri, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Using Machine Learning for Non-Invasive Detection of Kidney Stones Based on Laboratory Test Results: A Case Study from a Saudi Arabian Hospital
Hanan S. Alghamdi, Ghada Amoudi
Diagnostics (2024) Vol. 14, Iss. 13, pp. 1343-1343
Open Access | Times Cited: 1
Similarity-based metric analysis approach for predicting osteogenic differentiation correlation coefficients and discovering the novel osteogenic-related gene FOXA1 in BMSCs
Lingtong Sun, Juan Chen, Li Jun Li, et al.
PeerJ (2024) Vol. 12, pp. e18068-e18068
Open Access | Times Cited: 1
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
A Classification Method for Chronic Disease Patients Based on LSTM
Yue Pan, Zhuomin Xia, Yuanyuan Wu, et al.
(2024), pp. 449-453
Closed Access
Chronic Kidney Disease Prediction using Optimized Machine Learning and Ensemble Learning Techniques
M. Uma Devi, Mudduluru Charan Teja, S. K.
2022 7th International Conference on Communication and Electronics Systems (ICCES) (2024), pp. 1647-1654
Closed Access
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
Application of Homomorphic Encryption in Machine Learning Based Chronic Kidney Disease Prediction
Prokash Gogoi, J. Arul Valan
(2024), pp. 1-6
Closed Access
Analysis of risk factors for painful diabetic peripheral neuropathy and construction of a prediction model based on Lasso regression
Zikai Yu, Sue Zhao, Jing Cao, et al.
Frontiers in Endocrinology (2024) Vol. 15
Open Access
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