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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:

Artificial Intelligence in Acute Kidney Injury Risk Prediction
Joana Gameiro, Tiago Branco, José António Lopes
Journal of Clinical Medicine (2020) Vol. 9, Iss. 3, pp. 678-678
Open Access | Times Cited: 58

Showing 1-25 of 58 citing articles:

Acute kidney injury in the critically ill: an updated review on pathophysiology and management
Peter Pickkers, Michaël Darmon, Eric A. J. Hoste, et al.
Intensive Care Medicine (2021) Vol. 47, Iss. 8, pp. 835-850
Open Access | Times Cited: 310
Application of artificial intelligence and machine learning in early detection of adverse drug reactions (ADRs) and drug-induced toxicity
Siyun Yang, Supratik Kar
Artificial Intelligence Chemistry (2023) Vol. 1, Iss. 2, pp. 100011-100011
Open Access | Times Cited: 52
Addressing the challenges of AI-based telemedicine: Best practices and lessons learned
Sachin Sharma, Raj Rawal, Dharmesh Shah
Journal of Education and Health Promotion (2023) Vol. 12, Iss. 1
Open Access | Times Cited: 50
Modern Internet Search Analytics and Total Joint Arthroplasty: What Are Patients Asking and Reading Online?
Tony S. Shen, Daniel A. Driscoll, Wasif Islam, et al.
The Journal of Arthroplasty (2020) Vol. 36, Iss. 4, pp. 1224-1231
Open Access | Times Cited: 71
Federated Learning for Electronic Health Records
Trung Kien Dang, Xiang Lan, Jianshu Weng, et al.
ACM Transactions on Intelligent Systems and Technology (2022) Vol. 13, Iss. 5, pp. 1-17
Open Access | Times Cited: 55
Improved predictive models for acute kidney injury with IDEA: Intraoperative Data Embedded Analytics
Lasith Adhikari, Tezcan Ozrazgat‐Baslanti, Matthew M. Ruppert, et al.
PLoS ONE (2019) Vol. 14, Iss. 4, pp. e0214904-e0214904
Open Access | Times Cited: 75
Promises of Big Data and Artificial Intelligence in Nephrology and Transplantation
Charat Thongprayoon, Wisit Kaewput, Karthik Kovvuru, et al.
Journal of Clinical Medicine (2020) Vol. 9, Iss. 4, pp. 1107-1107
Open Access | Times Cited: 60
Artificial Intelligence and Mapping a New Direction in Laboratory Medicine: A Review
Daniel S. Herman, Daniel D. Rhoads, Wade L. Schulz, et al.
Clinical Chemistry (2021) Vol. 67, Iss. 11, pp. 1466-1482
Open Access | Times Cited: 55
An explainable supervised machine learning predictor of acute kidney injury after adult deceased donor liver transplantation
Yihan Zhang, Dong Heon Yang, Zifeng Liu, et al.
Journal of Translational Medicine (2021) Vol. 19, Iss. 1
Open Access | Times Cited: 50
Machine learning models for predicting acute kidney injury: a systematic review and critical appraisal
Iacopo Vagliano, Nicholas C. Chesnaye, Jan Hendrik Leopold, et al.
Clinical Kidney Journal (2022) Vol. 15, Iss. 12, pp. 2266-2280
Open Access | Times Cited: 32
Predicting acute kidney injury following open partial nephrectomy treatment using SAT-pruned explainable machine learning model
Teddy Lazebnik, Zaher Bahouth, Svetlana Bunimovich‐Mendrazitsky, et al.
BMC Medical Informatics and Decision Making (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 24
Clinical Characteristics and Outcomes of Drug-Induced Acute Kidney Injury Cases
Zaid K. Yousif, Jejo Koola, Etienne Macedo, et al.
Kidney International Reports (2023) Vol. 8, Iss. 11, pp. 2333-2344
Open Access | Times Cited: 16
Recent evolutions of machine learning applications in clinical laboratory medicine
Sander De Bruyne, Marijn M. Speeckaert, Wim Van Biesen, et al.
Critical Reviews in Clinical Laboratory Sciences (2020) Vol. 58, Iss. 2, pp. 131-152
Closed Access | Times Cited: 39
The importance of the urinary output criterion for the detection and prognostic meaning of AKI
Jill Vanmassenhove, Johan Steen, Stijn Vansteelandt, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 32
Development and validation of the SARICA score to predict survival after return of spontaneous circulation in out of hospital cardiac arrest using an interpretable machine learning framework
Xiang Yi Wong, Yu Kai Ang, Keqi Li, et al.
Resuscitation (2021) Vol. 170, pp. 126-133
Closed Access | Times Cited: 32
A deep-learning model to continuously predict severe acute kidney injury based on urine output changes in critically ill patients
Francesca Alfieri, Andrea Ancona, Giovanni Tripepi, et al.
Journal of Nephrology (2021) Vol. 34, Iss. 6, pp. 1875-1886
Open Access | Times Cited: 30
Artificial intelligence for the prediction of acute kidney injury during the perioperative period: systematic review and Meta-analysis of diagnostic test accuracy
Hanfei Zhang, Ying Wang, Shu-kun Wu, et al.
BMC Nephrology (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 20
Künstliche Intelligenz und akute Nierenschädigung
Fabian Perschinka, Andreas Peer, Michael Joannidis
Medizinische Klinik - Intensivmedizin und Notfallmedizin (2024) Vol. 119, Iss. 3, pp. 199-207
Open Access | Times Cited: 4
A prediction and interpretation framework of acute kidney injury in critical care
Kaidi Gong, Hyo Kyung Lee, Kaiye Yu, et al.
Journal of Biomedical Informatics (2020) Vol. 113, pp. 103653-103653
Closed Access | Times Cited: 30
Smart transplants: emerging role of nanotechnology and big data in kidney and islet transplantation, a frontier in precision medicine
R. Deshpande, Titus Augustine
Frontiers in Immunology (2025) Vol. 16
Open Access
Machine learning models for acute kidney injury prediction and management: a scoping review of externally validated studies
Aqeeb Ur Rehman, Javier A. Neyra, Chen Jin, et al.
Critical Reviews in Clinical Laboratory Sciences (2025), pp. 1-23
Closed Access
Management of Acute Kidney Injury Following Major Abdominal Surgery: A Contemporary Review
Joana Gameiro, José Agapito Fonseca, Filipe Marques, et al.
Journal of Clinical Medicine (2020) Vol. 9, Iss. 8, pp. 2679-2679
Open Access | Times Cited: 26
Systems Approaches to Cell Culture-Derived Extracellular Vesicles for Acute Kidney Injury Therapy: Prospects and Challenges
David J. Lundy, Barbara Szomolay, Chia‐Te Liao
Function (2024) Vol. 5, Iss. 3
Open Access | Times Cited: 3
Overexpression of SP1 restores autophagy to alleviate acute renal injury induced by ischemia-reperfusion through the miR-205/PTEN/Akt pathway
Chong Huang, Yan Chen, Bin Lai, et al.
Journal of Inflammation (2021) Vol. 18, Iss. 1
Open Access | Times Cited: 19
Machine Learning for Renal Pathologies: An Updated Survey
Roberto Magherini, Elisa Mussi, Yary Volpe, et al.
Sensors (2022) Vol. 22, Iss. 13, pp. 4989-4989
Open Access | Times Cited: 12
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