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:
Prediction of chronic kidney disease progression using recurrent neural network and electronic health records
Yitan Zhu, Dehua Bi, Milda R. Saunders, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 15
Yitan Zhu, Dehua Bi, Milda R. Saunders, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 15
Showing 15 citing articles:
Shaping the future of AI in healthcare through ethics and governance
Rabaï Bouderhem
Humanities and Social Sciences Communications (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 23
Rabaï Bouderhem
Humanities and Social Sciences Communications (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 23
The Omics‐Driven Machine Learning Path to Cost‐Effective Precision Medicine in Chronic Kidney Disease
Marta B. Lopes, Roberta Coletti, Flore Duranton, et al.
PROTEOMICS (2025)
Open Access | Times Cited: 1
Marta B. Lopes, Roberta Coletti, Flore Duranton, et al.
PROTEOMICS (2025)
Open Access | Times Cited: 1
Comparative analysis of kidney function prediction: traditional statistical methods vs. deep learning techniques
Mizuki Ohashi, Yuya Ishikawa, Satoshi Arai, et al.
Clinical and Experimental Nephrology (2025)
Closed Access
Mizuki Ohashi, Yuya Ishikawa, Satoshi Arai, et al.
Clinical and Experimental Nephrology (2025)
Closed Access
Advances and challenges in kidney fibrosis therapeutics
Lilia Abbad, Emmanuel Estève, Christos Chatziantoniou
Nature Reviews Nephrology (2025)
Closed Access
Lilia Abbad, Emmanuel Estève, Christos Chatziantoniou
Nature Reviews Nephrology (2025)
Closed Access
Fraction of Genome Altered, Age, Microsatellite Instability Score, Tumor Mutational Burden, Cancer Type, Metastasis Status, and Choice of Cancer Therapy Predict Overall Survival in Multiple Machine Learning Models
Guillaume Mestrallet
Onco (2025) Vol. 5, Iss. 1, pp. 8-8
Open Access
Guillaume Mestrallet
Onco (2025) Vol. 5, Iss. 1, pp. 8-8
Open 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
Eman Alqaissi, Abdulmohsen Algarni, Mohammed S. Alshehri, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
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
Thangadurai Anbazhagan, R. Balamurugan
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Artificial Intelligence in Medical Education: Transforming Learning and Practice
Arram Sriram, Kalpana Ramachandran, Sriram Krishnamoorthy
Cureus (2025)
Open Access
Arram Sriram, Kalpana Ramachandran, Sriram Krishnamoorthy
Cureus (2025)
Open Access
Proactive healthcare: machine learning-driven insights into kidney failure prediction
Hanan M. Alghamdi
Deleted Journal (2025)
Open Access
Hanan M. Alghamdi
Deleted Journal (2025)
Open Access
Prediction of acute and chronic kidney diseases during the post-covid-19 pandemic with machine learning models: utilizing national electronic health records in the US
Yue Zhang, Nasrollah Ghahramani, Rui Li, et al.
EBioMedicine (2025) Vol. 115, pp. 105726-105726
Closed Access
Yue Zhang, Nasrollah Ghahramani, Rui Li, et al.
EBioMedicine (2025) Vol. 115, pp. 105726-105726
Closed Access
Predicting the Progression of Chronic Kidney Disease: A Systematic Review of Artificial Intelligence and Machine Learning Approaches
Fizza Khalid, Lara Alsadoun, Faria Khilji, et al.
Cureus (2024)
Open Access | Times Cited: 3
Fizza Khalid, Lara Alsadoun, Faria Khilji, et al.
Cureus (2024)
Open Access | Times Cited: 3
Predictive Modeling of Kuwaiti Chronic Kidney Diseases (KCKD): Leveraging Electronic Health Records for Clinical Decision-Making
Talal M. Alenezi, Taiseer H. Sulaiman, Mohamed Abdelrazek, et al.
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 2
Open Access
Talal M. Alenezi, Taiseer H. Sulaiman, Mohamed Abdelrazek, et al.
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 2
Open Access
Multi-stage Chronic Kidney Disease Classification on Longitudinal Data
Ali Guran, Gary K.L. Tam, James Chess, et al.
Lecture notes in computer science (2024), pp. 120-133
Closed Access
Ali Guran, Gary K.L. Tam, James Chess, et al.
Lecture notes in computer science (2024), pp. 120-133
Closed Access
Development of a machine learning tool to predict the risk of incident chronic kidney disease using health examination data
Yuki Yoshizaki, Kiminori Kato, Kazuya Fujihara, et al.
Frontiers in Public Health (2024) Vol. 12
Open Access
Yuki Yoshizaki, Kiminori Kato, Kazuya Fujihara, et al.
Frontiers in Public Health (2024) Vol. 12
Open Access
Applying stacking ensemble method to predict chronic kidney disease progression in Chinese population based on laboratory information system: a retrospective study
Jialin Du, Jie Gao, Jie Guan, et al.
PeerJ (2024) Vol. 12, pp. e18436-e18436
Open Access
Jialin Du, Jie Gao, Jie Guan, et al.
PeerJ (2024) Vol. 12, pp. e18436-e18436
Open Access
Artificial intelligence in predicting chronic kidney disease prognosis. A systematic review and meta-analysis
Qinyu Pan, Mengli Tong
Renal Failure (2024) Vol. 46, Iss. 2
Open Access
Qinyu Pan, Mengli Tong
Renal Failure (2024) Vol. 46, Iss. 2
Open Access
