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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:

Toward generalizing the use of artificial intelligence in nephrology and kidney transplantation
S. Badrouchi, Mohamed Mongi Bacha, Hafedh Hedri, et al.
Journal of Nephrology (2022) Vol. 36, Iss. 4, pp. 1087-1100
Open Access | Times Cited: 16

Showing 16 citing articles:

Evaluating ChatGPT’s Accuracy in Responding to Patient Education Questions on Acute Kidney Injury and Continuous Renal Replacement Therapy
M. Salman Sheikh, Charat Thongprayoon, Supawadee Suppadungsuk, et al.
Blood Purification (2024) Vol. 53, Iss. 9, pp. 725-731
Closed Access | Times Cited: 5
Automated biomedical measurements analysis: Innovative models based on machine learning for predicting laboratory results in nephrology
Dawid Pawuś, Tomasz Porażko, Szczepan Paszkiel
Expert Systems with Applications (2025), pp. 126568-126568
Closed Access
Machine learning for classifying chronic kidney disease and predicting creatinine levels using at-home measurements
Brady Metherall, Anna Berryman, Georgia S. Brennan
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Revolutionizing Kidney Transplantation: Connecting Machine Learning and Artificial Intelligence with Next-Generation Healthcare—From Algorithms to Allografts
Luís Ramalhete, Paula Almeida, Raquel Ferreira, et al.
BioMedInformatics (2024) Vol. 4, Iss. 1, pp. 673-689
Open Access | Times Cited: 4
Artificial Intelligence Reporting Guidelines’ Adherence in Nephrology for Improved Research and Clinical Outcomes
Amankeldi A. Salybekov, Markus Wolfien, Waldemar Hahn, et al.
Biomedicines (2024) Vol. 12, Iss. 3, pp. 606-606
Open Access | Times Cited: 3
Use of Artificial Intelligence tools in supporting decision-making in hospital management
Maurício Martins Alves, Joana Seringa, Tatiana Silvestre, et al.
BMC Health Services Research (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 3
Cherry on Top or Real Need? A Review of Explainable Machine Learning in Kidney Transplantation
Alvaro Assis de Souza, Andrew Stubbs, Dennis A. Hesselink, et al.
Transplantation (2024) Vol. 109, Iss. 1, pp. 123-132
Closed Access | Times Cited: 2
Use of Artificial Intelligence tools in supporting decision-making in hospital management
Maurício Martins Alves, Joana Seringa, Tatiana Silvestre, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Artificial Intelligence in Nephrology: Clinical Applications and Challenges
Prabhat Singh, Lokesh Goyal, Deobrat C Mallick, et al.
Kidney Medicine (2024) Vol. 7, Iss. 1, pp. 100927-100927
Open Access | Times Cited: 1
Artificial Intelligence in Organ Transplantation: Surveying Current Applications, Addressing Challenges and Exploring Frontiers
Badi Rawashdeh
Artificial intelligence (2024)
Open Access
Artificial intelligence in nephrology: revolutionizing diagnosis, treatment, and patient care
Kirolos Eskandar
KIDNEYS (2024) Vol. 13, Iss. 3, pp. 213-219
Open Access
Present and Future Applications of Artificial Intelligence in Kidney Transplantation
Evgenia Kotsifa, Vasileios Mavroeidis
Journal of Clinical Medicine (2024) Vol. 13, Iss. 19, pp. 5939-5939
Open Access
Machine learning for classifying chronic kidney disease and predicting creatinine levels using at-home measurements
Brady Metherall, Anna Berryman, Georgia S. Brennan
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Artificial Intelligence in Kidney Transplantation: A Comprehensive Scientometric Analysis
Badi Rawashdeh, Haneen Al‐Abdallat, Rawan Hamamreh, et al.
Current Transplantation Reports (2024) Vol. 11, Iss. 4, pp. 177-187
Closed Access
Application of Artificial Intelligence in Clinical Practice – Perception of a Multinational Group of Nephrologists
Eliana S. Da Silva, Carla Santos-Araújo, Ricardo Cruz‐Correia, et al.
Studies in health technology and informatics (2024)
Open Access
The Use of Machine Learning in the Diagnosis of Kidney Allograft Rejection: Current Knowledge and Applications
Tanja Belčič Mikič, Miha Arnol
Diagnostics (2024) Vol. 14, Iss. 22, pp. 2482-2482
Open Access
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