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 persistent acute kidney injury in postoperative intensive care unit patients using integrated machine learning: a retrospective cohort study
Xuandong Jiang, Yongxia Hu, Shan Guo, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 14
Xuandong Jiang, Yongxia Hu, Shan Guo, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 14
Showing 14 citing articles:
Identification and validation of an explainable prediction model of acute kidney injury with prognostic implications in critically ill children: a prospective multicenter cohort study
Junlong Hu, Jing Xu, Min Li, et al.
EClinicalMedicine (2024) Vol. 68, pp. 102409-102409
Open Access | Times Cited: 63
Junlong Hu, Jing Xu, Min Li, et al.
EClinicalMedicine (2024) Vol. 68, pp. 102409-102409
Open Access | Times Cited: 63
External Validation of Persistent Severe Acute Kidney Injury Prediction With Machine Learning Model
Simone Zappalà, Francesca Alfieri, Andrea Ancona, et al.
Mayo Clinic Proceedings Digital Health (2025), pp. 100200-100200
Open Access | Times Cited: 1
Simone Zappalà, Francesca Alfieri, Andrea Ancona, et al.
Mayo Clinic Proceedings Digital Health (2025), pp. 100200-100200
Open Access | Times Cited: 1
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
Fabian Perschinka, Andreas Peer, Michael Joannidis
Medizinische Klinik - Intensivmedizin und Notfallmedizin (2024) Vol. 119, Iss. 3, pp. 199-207
Open Access | Times Cited: 4
Deep learning‑based prediction of in‑hospital mortality for acute kidney injury
Yong Li, Dou Ruiyin, Xia Wang, et al.
Computer Methods in Biomechanics & Biomedical Engineering (2025), pp. 1-14
Closed Access
Yong Li, Dou Ruiyin, Xia Wang, et al.
Computer Methods in Biomechanics & Biomedical Engineering (2025), pp. 1-14
Closed Access
Development and Validation of a Prediction Model for Respiratory Failure in Patients with Sepsis-Associated Acute Kidney Injury (SA-AKI) Within 48 Hours of Admission
Bin Wang, Fengxiang Zhang
Research Square (Research Square) (2025)
Closed Access
Bin Wang, Fengxiang Zhang
Research Square (Research Square) (2025)
Closed 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
Aqeeb Ur Rehman, Javier A. Neyra, Chen Jin, et al.
Critical Reviews in Clinical Laboratory Sciences (2025), pp. 1-23
Closed Access
Development and external validation of a machine learning model for the prediction of persistent acute kidney injury stage 3 in multi-centric, multi-national intensive care cohorts
Simone Zappalà, Francesca Alfieri, Andrea Ancona, et al.
Critical Care (2024) Vol. 28, Iss. 1
Open Access | Times Cited: 3
Simone Zappalà, Francesca Alfieri, Andrea Ancona, et al.
Critical Care (2024) Vol. 28, Iss. 1
Open Access | Times Cited: 3
A novel nomogram to predict the risk of requiring mechanical ventilation in patients with sepsis within 48 hours of admission: a retrospective analysis
Bin Wang, Jian Ouyang, Rui Xing, et al.
PeerJ (2024) Vol. 12, pp. e18500-e18500
Open Access | Times Cited: 1
Bin Wang, Jian Ouyang, Rui Xing, et al.
PeerJ (2024) Vol. 12, pp. e18500-e18500
Open Access | Times Cited: 1
Establishment and validation of a predictive model for respiratory failure within 48 h following admission in patients with sepsis: a retrospective cohort study
Bin Wang, Jianping Chen, Maofeng Wang
Frontiers in Physiology (2023) Vol. 14
Open Access | Times Cited: 2
Bin Wang, Jianping Chen, Maofeng Wang
Frontiers in Physiology (2023) Vol. 14
Open Access | Times Cited: 2
Machine learning approaches toward an understanding of acute kidney injury: current trends and future directions
Inyong Jeong, Namjun Cho, Se-Jin Ahn, et al.
The Korean Journal of Internal Medicine (2024) Vol. 39, Iss. 6, pp. 882-897
Open Access
Inyong Jeong, Namjun Cho, Se-Jin Ahn, et al.
The Korean Journal of Internal Medicine (2024) Vol. 39, Iss. 6, pp. 882-897
Open Access
Machine Learning to Assist in Managing Acute Kidney Injury in General Wards: Multicenter Retrospective Study (Preprint)
Namjun Cho, Inyong Jeong, Se-Jin Ahn, et al.
Journal of Medical Internet Research (2024)
Open Access
Namjun Cho, Inyong Jeong, Se-Jin Ahn, et al.
Journal of Medical Internet Research (2024)
Open Access
Machine Learning to Assist in Managing Acute Kidney Injury in General Wards: Multicenter Retrospective Study (Preprint)
Namjun Cho, Inyong Jeong, Se-Jin Ahn, et al.
(2024)
Closed Access
Namjun Cho, Inyong Jeong, Se-Jin Ahn, et al.
(2024)
Closed Access
An explainable machine-learning model for predicting persistent sepsis associated acute kidney injury: development, validation, and comparison with CCL14 (Preprint)
Wei Jiang, Yaosheng Zhang, Jiayi Weng, et al.
Journal of Medical Internet Research (2024)
Open Access
Wei Jiang, Yaosheng Zhang, Jiayi Weng, et al.
Journal of Medical Internet Research (2024)
Open Access
Explainable Machine Learning Model for Predicting Persistent Sepsis-Associated Acute Kidney Injury: Development and Validation Study (Preprint)
Wei Jiang, Yueyue Zhang, Jiayi Weng, et al.
(2024)
Closed Access
Wei Jiang, Yueyue Zhang, Jiayi Weng, et al.
(2024)
Closed Access
