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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:

Classification of Chronic Kidney Disease in Sonography Using the GLCM and Artificial Neural Network
Dong Hyun Kim, Soo-Young Ye
Diagnostics (2021) Vol. 11, Iss. 5, pp. 864-864
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Diagnosis of Chronic Kidney Disease Using Effective Classification Algorithms and Recursive Feature Elimination Techniques
Ebrahim Mohammed Senan, Mosleh Hmoud Al-Adhaileh, Fawaz Waselallah Alsaade, et al.
Journal of Healthcare Engineering (2021) Vol. 2021, pp. 1-10
Open Access | Times Cited: 177
Efficient Data Preprocessing with Ensemble Machine Learning Technique for the Early Detection of Chronic Kidney Disease
Vinoth Kumar Venkatesan, Mahesh Thyluru Ramakrishna, Ivan Izonin, et al.
Applied Sciences (2023) Vol. 13, Iss. 5, pp. 2885-2885
Open Access | Times Cited: 34
Association between urinary metals and leukocyte telomere length involving an artificial neural network prediction: Findings based on NHANES 1999–2002
Fang Xia, Qingwen Li, Xin Luo, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 23
A Catalogue of Machine Learning Algorithms for Healthcare Risk Predictions
Argyro Mavrogiorgou, Athanasios Kiourtis, Spyridon Kleftakis, et al.
Sensors (2022) Vol. 22, Iss. 22, pp. 8615-8615
Open Access | Times Cited: 22
Usefulness of radiomics and kidney volume based on non-enhanced computed tomography in chronic kidney disease - initial report
Piotr Białek, Adam Dobek, Krzysztof Falenta, et al.
Kidney & Blood Pressure Research (2025), pp. 1-19
Open Access
Towards Accurate Diagnosis of Skin Lesions Using Feedforward Back Propagation Neural Networks
Simona Moldovanu, Cristian-Dragoș Obreja, Keka C. Biswas, et al.
Diagnostics (2021) Vol. 11, Iss. 6, pp. 936-936
Open Access | Times Cited: 24
Chi2-MI: A hybrid feature selection based machine learning approach in diagnosis of chronic kidney disease
Samrat Kumar Dey, Khandaker Mohammad Mohi Uddin, Hafiz Md. Hasan Babu, et al.
Intelligent Systems with Applications (2022) Vol. 16, pp. 200144-200144
Open Access | Times Cited: 18
Artificial intelligence in glomerular diseases
Francesco Paolo Schena, Riccardo Magistroni, Fedelucio Narducci, et al.
Pediatric Nephrology (2022) Vol. 37, Iss. 11, pp. 2533-2545
Closed Access | Times Cited: 12
An improved joint non-negative matrix factorization for identifying surgical treatment timing of neonatal necrotizing enterocolitis
Guoqiang Qi, Shoujiang Huang, Dengming Lai, et al.
Bosnian Journal of Basic Medical Sciences (2022) Vol. 22, Iss. 6, pp. 972-981
Open Access | Times Cited: 11
Ebola deep wavelet extreme learning machine based chronic kidney disease prediction on the internet of medical things platform
Tatiparti B Prasad Reddy, D. Vydeki
Concurrency and Computation Practice and Experience (2022) Vol. 35, Iss. 1
Closed Access | Times Cited: 11
A Novel Approach to Prognosticate CKD Using a Supervised and Unsupervised Learning Algorithms
S. Ashwathi, A. Swamy Goud, L Niranjan, et al.
Smart innovation, systems and technologies (2023), pp. 107-116
Closed Access | Times Cited: 6
Artificial intelligence-aided ultrasound in renal diseases: a systematic review
Xiaowen Liang, Meng Du, Zhiyi Chen
Quantitative Imaging in Medicine and Surgery (2023) Vol. 13, Iss. 6, pp. 3988-4001
Open Access | Times Cited: 5
A novel clinical−radiomic nomogram for the crescent status in IgA nephropathy
Xiachuan Qin, Linlin Xia, Xiaomin Hu, et al.
Frontiers in Endocrinology (2023) Vol. 14
Open Access | Times Cited: 4
Advanced ultrasound methods to improve chronic kidney disease diagnosis
Susanne Fleig, Zuzanna Magnuska, Patrick Koczera, et al.
npj Imaging (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 1
Use of Metrological Characteristics in Ultrasound Imaging and Artificial Intelligence Techniques for Disease Prediction in Soft Tissue Organs
Kriti, Ravinder Agarwal
(2023), pp. 1995-2027
Closed Access | Times Cited: 3
Artificial intelligence in gastrointestinal and hepatic imaging: past, present and future scopes
Darshan Gandhi, Tushar Garg, Love Patel, et al.
Clinical Imaging (2022) Vol. 87, pp. 43-53
Closed Access | Times Cited: 5
Gray level co-occurrence matrix and Schmitt neural network for Covid-19 diagnosis
Pengpeng Pi
ICST Transactions on e-Education and e-Learning (2021) Vol. 7, Iss. 22, pp. 170668-170668
Open Access | Times Cited: 6
Assessment, Categorisation and Prediction of the Landslide-Affected Regions Using Soft Computing and Clustering Techniques
Md. Iqbal Quraishi, J. Paul Choudhury
Journal of The Institution of Engineers (India) Series B (2023) Vol. 104, Iss. 3, pp. 579-602
Closed Access | Times Cited: 2
Machine Learning-Based Chronic Kidney Cancer Prediction Application: A Predictive Analytics Approach
Khandaker Mohammad Mohi Uddin, Md. Nuzmul Hossain Nahid, Md. Mehedi Hasan Ullah, et al.
Deleted Journal (2023) Vol. 2, Iss. 2, pp. 1028-1048
Open Access | Times Cited: 2
Harnessing the Power of CNN -SVM for Kidney Disease Classification: A Comprehensive Study
Ranjan Sariyal, Harpal Singh, Mandeep Kaur, et al.
2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) (2024), pp. 1-6
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
Optimization assisted ensemble classification for prediction of chronic kidney disease
Tatiparti B Prasad Reddy, S. B. Gurav, R. Sekar, et al.
Multimedia Tools and Applications (2024)
Closed Access
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
Deep Learning Insights: Evaluating the Efficacy of CNN-SVM for Accurate Kidney Disease Identification
Raghav Jain, Vinay Kukreja, Saumitra Chattopadhyay, et al.
(2024), pp. 1-5
Closed Access
A Deep Learning Approach for Predicting Chronic Kidney Disease in Electronic Health Records in Neural Nephrology
G. Jeyalakshmi, F. Vincy Lloyd, K. Subbulakshmi, et al.
Advances in computational intelligence and robotics book series (2024), pp. 197-216
Closed Access
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