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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:

A machine learning-based risk stratification tool for in-hospital mortality of intensive care unit patients with heart failure
Cida Luo, Yi Zhu, Zhou Zhu, et al.
Journal of Translational Medicine (2022) Vol. 20, Iss. 1
Open Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

The intelligent Impella: Future perspectives of artificial intelligence in the setting of Impella support
Filippo Consolo, Jacopo D’Andria Ursoleo, Marina Pieri, et al.
ESC Heart Failure (2024) Vol. 11, Iss. 5, pp. 2933-2940
Open Access | Times Cited: 11
Machine learning approach for predicting cardiovascular disease in Bangladesh: evidence from a cross-sectional study in 2023
Sorif Hossain, Mohammad Kamrul Hasan, Mohammad Omar Faruk, et al.
BMC Cardiovascular Disorders (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 9
A machine-learning-derived online prediction model for depression risk in COPD patients: A retrospective cohort study from CHARLS
Xuanna Zhao, Yunan Wang, Jiahua Li, et al.
Journal of Affective Disorders (2025)
Open Access | Times Cited: 1
An explainable multi-objective hybrid machine learning model for reducing heart failure mortality
F. M. Javed Mehedi Shamrat, Majdi Khalid, Thamir M. Qadah, et al.
PeerJ Computer Science (2025) Vol. 11, pp. e2682-e2682
Open Access | Times Cited: 1
Heart failure disease prediction and stratification with temporal electronic health records data using patient representation
Liang Ye, Chonghui Guo
Journal of Applied Biomedicine (2023) Vol. 43, Iss. 1, pp. 124-141
Closed Access | Times Cited: 20
A Machine Learning Approach Using Statistical Models for Early Detection of Cardiac Arrest in Newborn Babies in the Cardiac Intensive Care Unit
Ketan Gupta, Nasmin Jiwani, Giovanni Pau, et al.
IEEE Access (2023) Vol. 11, pp. 60516-60538
Open Access | Times Cited: 18
Machine learning based readmission and mortality prediction in heart failure patients
Maziar Sabouri, Ahmad Bitarafan‐Rajabi, Ghasem Hajianfar, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 18
Applying an Improved Stacking Ensemble Model to Predict the Mortality of ICU Patients with Heart Failure
Chih‐Chou Chiu, Chung-Min Wu, Te-Nien Chien, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 21, pp. 6460-6460
Open Access | Times Cited: 26
Research Progress on Predictive Factors for Preoperative Heart Failure and Postoperative Adverse Events in Infants with Isolated Ventricular Septal Defect
锦秀 刘
Advances in Clinical Medicine (2025) Vol. 15, Iss. 01, pp. 211-217
Closed Access
Prediction of implant failure risk due to periprosthetic femoral fracture after primary elective total hip arthroplasty
M. Abdulhadi Alagha, Justin Cobb, Alexander D. Liddle, et al.
Bone and Joint Research (2025) Vol. 14, Iss. 1, pp. 46-57
Open Access
Molecular structure of NRG-1 protein and its impact on adult hypertension and heart failure: A new clinical Indicator diagnosis based on advanced machine learning
Qiyuan Bai, Hao Chen, Hongxu Liu, et al.
International Journal of Biological Macromolecules (2025), pp. 140955-140955
Closed Access
Evaluation of machine learning methods for prediction of heart failure mortality and readmission: meta-analysis
Hamed Hajishah, Danial Kazemi, Ehsan Safaee, et al.
BMC Cardiovascular Disorders (2025) Vol. 25, Iss. 1
Open Access
A machine learning-based severity stratification tool for high altitude pulmonary edema
Luobu Gesang, Yangzong Suona, Zhuoga Danzeng, et al.
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access
An Artificial Intelligence Approach to Guiding the Management of Heart Failure Patients Using Predictive Models: A Systematic Review
Mikołaj Błaziak, Szymon Urban, Weronika Wietrzyk, et al.
Biomedicines (2022) Vol. 10, Iss. 9, pp. 2188-2188
Open Access | Times Cited: 12
Development and validation of novel interpretable survival prediction models based on drug exposures for severe heart failure during vulnerable period
Canqing Yu, Yu Fang, Fangfang Jiang, et al.
Journal of Translational Medicine (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 2
U-Shaped Association between Serum Chloride Levels and In-Hospital Mortality in Patients with Congestive Heart Failure in Intensive Care Units
Kai Zhang, Yu Han, Fangming Gu, et al.
International Heart Journal (2024) Vol. 65, Iss. 2, pp. 237-245
Open Access | Times Cited: 2
Scoping review of the literature to ascertain how the STUMBL Score clinical prediction model is used to manage patients with blunt chest wall trauma in emergency care
Ceri Battle, Elaine Cole, Rhys Whelan, et al.
Injury (2023) Vol. 54, Iss. 7, pp. 110796-110796
Closed Access | Times Cited: 5
Machine Learning for Mortality Prediction in Patients With Heart Failure With Mildly Reduced Ejection Fraction
Pengchao Tian, Lin Liang, Xuemei Zhao, et al.
Journal of the American Heart Association (2023) Vol. 12, Iss. 12
Open Access | Times Cited: 5
BOO-ST and CBCEC: two novel hybrid machine learning methods aim to reduce the mortality of heart failure patients
Ananda Sutradhar, Mustahsin Al Rafi, F. M. Javed Mehedi Shamrat, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 5
Predictive Analytics in Heart Failure Prediction: A Systematic Review
Qisthi Alhazmi Hidayaturrohman, Eisuke Hanada
(2024)
Open Access | Times Cited: 1
A Transparency System for ICU Using Machine Learning and AI
Pancham Singh, Mrignainy Kansal, Shirshendu Lahiri, et al.
Advances in medical technologies and clinical practice book series (2024), pp. 51-69
Closed Access | Times Cited: 1
Impact of Data Pre-Processing Techniques on XGBoost Model Performance for Predicting All-Cause Readmission and Mortality Among Patients with Heart Failure
Qisthi Alhazmi Hidayaturrohman, Eisuke Hanada
BioMedInformatics (2024) Vol. 4, Iss. 4, pp. 2201-2212
Open Access | Times Cited: 1
Predictive Analytics in Heart Failure Risk, Readmission, and Mortality Prediction: A Review
Qisthi Alhazmi Hidayaturrohman, Eisuke Hanada
Cureus (2024)
Open Access | Times Cited: 1
Prediction differences and implications of acute kidney injury with and without urine output criteria in adult critically ill patients
Lijuan Wu, Yanqin Li, Xiangzhou Zhang, et al.
Nephrology Dialysis Transplantation (2023) Vol. 38, Iss. 10, pp. 2368-2378
Open Access | Times Cited: 3
Neural networks based on attention architecture are robust to data missingness for early predicting hospital mortality in intensive care unit patients
Zhixuan Zeng, Yang Liu, Shuo Yao, et al.
Digital Health (2023) Vol. 9
Open Access | Times Cited: 2
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