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:

Establishment of a prognostic model for patients with sepsis based on SOFA: a retrospective cohort study
Hui Liu, Luming Zhang, Fengshuo Xu, et al.
Journal of International Medical Research (2021) Vol. 49, Iss. 9
Open Access | Times Cited: 17

Showing 17 citing articles:

Early Prediction of Mortality for Septic Patients Visiting Emergency Room Based on Explainable Machine Learning: A Real-World Multicenter Study
Sang Won Park, Na Young Yeo, Seonguk Kang, et al.
Journal of Korean Medical Science (2024) Vol. 39, Iss. 5
Open Access | Times Cited: 12

Evaluate prognostic accuracy of SOFA component score for mortality among adults with sepsis by machine learning method
Xiaobin Pan, Jinbao Xie, Lihui Zhang, et al.
BMC Infectious Diseases (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 14

Machine learning for the prediction of sepsis-related death: a systematic review and meta-analysis
Yan Zhang, Weiwei Xu, Ping Yang, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 12

The Effect of Different Temperature Management Strategies in Adult Sepsis Patients: A Meta-Analysis of Randomized Controlled Trials
Yunyun Hu, Jun Jiang, Mei Wei, et al.
Therapeutic Hypothermia and Temperature Management (2025)
Closed Access

Predictors and nomogram of in-hospital mortality in sepsis-induced myocardial injury: a retrospective cohort study
Kai-Zhi Xu, Ping Xu, Juanjuan Li, et al.
BMC Anesthesiology (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 9

A nomogram for predicting mortality risk within 30 days in sepsis patients admitted in the emergency department: A retrospective analysis
Bin Wang, Jianping Chen, Xinling Pan, et al.
PLoS ONE (2024) Vol. 19, Iss. 1, pp. e0296456-e0296456
Open Access | Times Cited: 2

Development and Validation of a Nomogram Model for Predicting 28-Day Mortality in Patients with Sepsis
Xiaoqian Wang, Shuai Li, Quanxia Cao, et al.
Heliyon (2024) Vol. 10, Iss. 16, pp. e35641-e35641
Open Access | Times Cited: 1

The Clinical Utility of Albumin with Sequential Organ Failure Assessment (SOFA) in Improving 30-Day Mortality Prediction in Patients with Infection in the Emergency Department
Gianni Turcato, Arian Zaboli, Serena Sibilio, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 24, pp. 7676-7676
Open Access | Times Cited: 3

LASSO-Based Identification of Risk Factors and Development of a Prediction Model for Sepsis Patients
Chengying Hong, Yihan Xiong, Jinquan Xia, et al.
Therapeutics and Clinical Risk Management (2024) Vol. Volume 20, pp. 47-58
Open Access

Predictive Value of Combined Detection of Serum LGALS3BP and GDF-15 for the Prognosis of ICU Sepsis Patients
Dengliang Ji, Jiulong Li, Andong Liu, et al.
Infection and Drug Resistance (2024) Vol. Volume 17, pp. 4417-4426
Open Access

Evaluation of Sepsis Severity Using Combined High-Density Lipoprotein and Red Cell Distribution Width Indicators
Yan Gao, Chen Yao, Li Gao
British Journal of Hospital Medicine (2024) Vol. 85, Iss. 12, pp. 1-12
Closed Access

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