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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:

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

Showing 12 citing articles:

Prediction of Sepsis Mortality in ICU Patients Using Machine Learning Methods
Jiayi Gao, Yu‐Ying Lu, Negin Ashrafi, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 11
Hospital Acquired Sepsis, Disease Prevalence, and Recent Advances in Sepsis Mitigation
Mary Garvey
Pathogens (2024) Vol. 13, Iss. 6, pp. 461-461
Open Access | Times Cited: 5
Prediction of sepsis mortality in ICU patients using machine learning methods
Jiayi Gao, Yu‐Ying Lu, Negin Ashrafi, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 5
Quantitative abnormalities in the β-region of the electrophoretic profile of serum proteins as predictive markers of monoclonality: Machine learning for monoclonality prediction
Sara Cherkaoui, Slavka Penickova, Frédéric Cotton
Clinical Biochemistry (2025), pp. 110892-110892
Closed Access
Enhancing in-hospital mortality prediction in older patients with sepsis: the role of frailty indices and multidrug-resistance status in non-ICU wards—a proof-of-concept study
Chukwuma Okoye, Andrea Piazzoli, María Cristina Ferrara, et al.
Aging Clinical and Experimental Research (2025) Vol. 37, Iss. 1
Open Access
Advancing sepsis diagnosis and immunotherapy machine learning-driven identification of stable molecular biomarkers and therapeutic targets
Weichuan Xiong, Yian Zhan, Rui Xiao, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
The infection post flexible UreteroreNoscopy (I-FUN) predictive model based on machine learning: a new clinical tool to assess the risk of sepsis post retrograde intrarenal surgery for kidney stone disease
Daniele Castellani, Virgilio De Stefano, Carlo Brocca, et al.
World Journal of Urology (2024) Vol. 42, Iss. 1
Closed Access | Times Cited: 1
Is it Time to Develop an Indian Sepsis-related Mortality Prediction Score?
D. Vidyasagar
Indian Journal of Critical Care Medicine (2024) Vol. 28, Iss. 4, pp. 320-322
Open Access
Advancing Sepsis Diagnosis and Immunotherapy Machine Learning-Driven Identification of Stable Molecular Biomarkers and Therapeutic Targets
Fangpeng Liu, Weichuan Xiong, Rui Xiao, et al.
Research Square (Research Square) (2024)
Open Access
Deciphering the iron enigma: Navigating the complexities of iron metabolism in critical illness
Anjali Mishra, Deven Juneja
World Journal of Clinical Cases (2024) Vol. 12, Iss. 27, pp. 6027-6031
Open Access
Prediction of acute myeloid leukemia prognosis based on autophagy features and characterization of its immune microenvironment
Chaoqun Zhu, Xiangyan Feng, Li Tong, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access
Mortality-associated plasma proteome dynamics in a prospective multicentre sepsis cohort
Lars Palmowski, Maike Weber, Malte Bayer, et al.
EBioMedicine (2024) Vol. 111, pp. 105508-105508
Closed Access
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