Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

HDLNET: A Hybrid Deep Learning Network Model With Intelligent IOT for Detection and Classification of Chronic Kidney Disease
Kommuri Venkatrao, Kareemulla Shaik
IEEE Access (2023) Vol. 11, pp. 99638-99652
Open Access | Times Cited: 12

Showing 12 citing articles:

Clinical decision system for chronic kidney disease staging using machine learning
E. Chandralekha, T. R. Saravanan, N. Vijayaraj
Technology and Health Care (2025)
Closed Access
Design of Artificial Intelligence Driven Crowd Density Analysis for Sustainable Smart Cities
Shtwai Alsubai, Ashit Kumar Dutta, Faisal Yousef Alghayadh, et al.
IEEE Access (2024) Vol. 12, pp. 121983-121993
Open Access | Times Cited: 2
Designing a Smart IoT Environment by Predicting Chronic Kidney Disease Using Kernel Based Xception Deep Learning Model
Shubhangi Joteppa, Santosh Kumar Balraj, Nagamani Cheruku, et al.
Revue d intelligence artificielle (2024) Vol. 38, Iss. 1, pp. 303-312
Open Access | Times Cited: 1
CAD-CKD: a computer aided diagnosis system for chronic kidney disease using automated BiGSqENet in the Internet of Things platform
Kommuri Venkatrao, Kareemulla Shaik
Evolving Systems (2024) Vol. 15, Iss. 4, pp. 1487-1502
Closed Access | Times Cited: 1
Adaboost Machine Learning Based Modelling to Predict Chronic Kidney Disease Staging
P. Renuka, C. Thilagavathi, S. Sathiyanathan, et al.
(2024), pp. 1-7
Closed Access | Times Cited: 1
MRI Scans for Deep Learning-Based Chronic Nephropathy Detection: A Comparison of CNN, MobileNet, VGG16, and ResNet-50 Models
Md. Amanatulla, Gundala Swathi, M. Pallavi, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 1
Aquila Optimization Algorithm based Feature Selection with Optimal Machine Learning for Security Internet of Things Environment
Prerana Nilesh Khairnar, S. Vidhya, D. Keerthana, et al.
(2024), pp. 1-6
Closed Access
ML-Based Chronic Kidney Disease and Diabetes Prediction with Feature Effect Analysis Using SHAP
Parama Sridevi, Padmapriya Velupillai Meikandan, Paramita Basak Upama, et al.
2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC) (2024), pp. 843-850
Closed Access
Towards precise chronic disease management: A combined approach with binary metaheuristics and ensemble deep learning
Nuzaiha Mohamed, Reem Iafi AlMutairi, Sayda Abdelrahim, et al.
Journal of Radiation Research and Applied Sciences (2024) Vol. 17, Iss. 4, pp. 101092-101092
Open Access
IoT-enabled Early Detection of Diabetes Diseases Using Deep Learning and Dimensionality Reduction Techniques
Thavavel Vaiyapuri, Ghada Alharbi, Santhi Muttipoll Dharmarajlu, et al.
IEEE Access (2024) Vol. 12, pp. 143016-143028
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
Implementation of clinical diagnosis system for chronic kidney disease using deep learning algorithms
Ashwan A. Abdulmunem, Alaa A. Jabbar
International Journal of Advanced Technology and Engineering Exploration (2024) Vol. 11, Iss. 110
Open Access
Page 1

Scroll to top