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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 Critical Care Medicine
Joo Heung Yoon, Michael R. Pinsky, Gilles Clermont
Critical Care (2022) Vol. 26, Iss. 1
Open Access | Times Cited: 92

Showing 1-25 of 92 citing articles:

Use of artificial intelligence in critical care: opportunities and obstacles
Michael R. Pinsky, Armando Bedoya, Azra Bihorac, et al.
Critical Care (2024) Vol. 28, Iss. 1
Open Access | Times Cited: 21
Advances and Challenges in Sepsis Management: Modern Tools and Future Directions
Elena Santacroce, Miriam D’Angerio, Alin Liviu Ciobanu, et al.
Cells (2024) Vol. 13, Iss. 5, pp. 439-439
Open Access | Times Cited: 17
Artificial Intelligence in Intensive Care Medicine: Bibliometric Analysis
Ri Tang, Shuyi Zhang, Chenling Ding, et al.
Journal of Medical Internet Research (2022) Vol. 24, Iss. 11, pp. e42185-e42185
Open Access | Times Cited: 38
Artificial intelligence in critical illness and its impact on patient care: a comprehensive review
Muhammad Saqib, Muhammad Iftikhar, Fnu Neha, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 38
Minimizing bias when using artificial intelligence in critical care medicine
Benjamin L. Ranard, Soojin Park, Yugang Jia, et al.
Journal of Critical Care (2024) Vol. 82, pp. 154796-154796
Closed Access | Times Cited: 9
Acute Brain Injury Risk Prediction Models in Venoarterial Extracorporeal Membrane Oxygenation Patients with Tree-Based Machine Learning: An ELSO Registry Analysis
Andrew Kalra, Preetham Bachina, Benjamin L. Shou, et al.
JTCVS Open (2024) Vol. 20, pp. 64-88
Open Access | Times Cited: 9
Enhancing Real-Time Patient Monitoring in Intensive Care Units with Deep Learning and the Internet of Things
Yongqiang Bai, Bingfei Gu, Chao Tang
Big Data (2025)
Closed Access | Times Cited: 1
The application of artificial intelligence in the management of sepsis
Jie Yang, Sicheng Hao, Jiajie Huang, et al.
Medical Review (2023) Vol. 3, Iss. 5, pp. 369-380
Open Access | Times Cited: 16
Artificial intelligence and machine learning: Definition of terms and current concepts in critical care research
Kai Sun, Arkajyoti Roy, Joshua M. Tobin
Journal of Critical Care (2024) Vol. 82, pp. 154792-154792
Closed Access | Times Cited: 7
Artificial intelligence and machine learning in prehospital emergency care: A scoping review
Marcel Lucas Chee, Mark Leonard Chee, Haotian Huang, et al.
iScience (2023) Vol. 26, Iss. 8, pp. 107407-107407
Open Access | Times Cited: 13
Advanced neuromonitoring powered by ICM+ and its place in the Brand New AI World, reflections at the 20th anniversary boundary
Peter Smielewski, Erta Beqiri, Cyprian Mataczyński, et al.
Brain and Spine (2024) Vol. 4, pp. 102835-102835
Open Access | Times Cited: 5
Intracranial pressure monitoring in adult patients with traumatic brain injury: challenges and innovations
Tommaso Zoerle, Erta Beqiri, Cecilia Åkerlund, et al.
The Lancet Neurology (2024) Vol. 23, Iss. 9, pp. 938-950
Closed Access | Times Cited: 5
Artificial Intelligence and medical specialties: support or substitution?
Stefan‐Lucian Popa, Abdulrahman Ismaiel, Vlad Dumitru Brata, et al.
Medicine and Pharmacy Reports (2024) Vol. 97, Iss. 4, pp. 409-418
Open Access | Times Cited: 4
Emergency Radiology: Current Status and Recent Advances
Rathachai Kaewlai, Choong Wook Lee
Korean Journal of Radiology (2025) Vol. 26, Iss. 2, pp. 91-91
Closed Access
Revolutionizing Cardiac Care: Artificial Intelligence Applications in Heart Failure Management
Areeba Fareed, Rayyan Vaid, Abdulrahmon Moradeyo, et al.
Cardiology in Review (2025)
Closed Access
The use of machine learning based models to predict the severity of community acquired pneumonia in hospitalised patients: A systematic review
Caitlin Lythgoe, David Hamilton, Brian Johnston, et al.
Journal of the Intensive Care Society (2025)
Closed Access
Evolution of Critical Care Cardiology: An Update on Structure, Care Delivery, Training, and Research Paradigms: A Scientific Statement From the American Heart Association
Shashank S. Sinha, Bram J. Geller, Jason N. Katz, et al.
Circulation (2025)
Closed Access
A bibliometric analysis of artificial intelligence research in critical illness: a quantitative approach and visualization study
Zixin Luo, Jialian Lv, Kang Zou
Frontiers in Medicine (2025) Vol. 12
Open Access
Yoğun Bakım Ünitesinde Çalışan Doktorların Yapay Zeka İle İlgili Bakış Açıları
Kamuran Uluç
Acta Medica Nicomedia (2025) Vol. 8, Iss. 1, pp. 84-92
Closed Access
What’s new in critical illness and injury science? Keeping up with Moore’s law – Are we ready for the intensive care units of tomorrow?
Katherine Bao-Kim Stawicki, SagarC Galwankar, Michael S. Firstenberg
International Journal of Critical Illness and Injury Science (2025) Vol. 15, Iss. 1, pp. 1-3
Closed Access
Using machine learning for the early prediction of sepsis-associated ARDS in the ICU and identification of clinical phenotypes with differential responses to treatment
Yu Bai, Jingen Xia, Xu Huang, et al.
Frontiers in Physiology (2022) Vol. 13
Open Access | Times Cited: 19
Enhancing Cardiac Arrest Education: Exploring the potential use of MidJourney
Carlo Alberto Mazzoli, Federico Semeraro, Lorenzo Gamberini
Resuscitation (2023) Vol. 189, pp. 109893-109893
Closed Access | Times Cited: 11
A common data model for the standardization of intensive care unit medication features
Andrea Sikora, Kelli Keats, David J. Murphy, et al.
JAMIA Open (2024) Vol. 7, Iss. 2
Open Access | Times Cited: 4
Artificial Intelligence in the Intensive Care Unit: Current Evidence on an Inevitable Future Tool
Vinay Suresh, Kaushal Singh, Esha Vaish, et al.
Cureus (2024)
Open Access | Times Cited: 4
Early sepsis mortality prediction model based on interpretable machine learning approach: development and validation study
Yiping Wang, Zhihong Gao, Yang Zhang, et al.
Internal and Emergency Medicine (2024)
Open Access | Times Cited: 4
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