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:

Optimizing artificial intelligence in sepsis management: Opportunities in the present and looking closely to the future
Darragh O’Reilly, Jennifer L. McGrath, Ignacio Martín‐Loeches
Journal of Intensive Medicine (2023) Vol. 4, Iss. 1, pp. 34-45
Open Access | Times Cited: 15

Showing 15 citing articles:

Cell-Free Nuclear and Mitochondrial DNA as Potential Biomarkers for Assessing Sepsis Severity
Felipe Silva de Miranda, Livia Maria A. M. Claudio, Dayanne Silva Monteiro de Almeida, et al.
Biomedicines (2024) Vol. 12, Iss. 5, pp. 933-933
Open Access | Times Cited: 9

Practical Lessons on Antimicrobial Therapy for Critically Ill Patients
Rachael Cusack, Elizabeth Little, Ignacio Martín‐Loeches
Antibiotics (2024) Vol. 13, Iss. 2, pp. 162-162
Open Access | Times Cited: 8

The impact of healthcare information technology on reducing medication errors: A review of recent advances
Christiana Adeyemi, Bisola Oluwafadekemi Adegoke, Tolulope Odugbose
International Journal of Frontiers in Medicine and Surgery Research (2024) Vol. 5, Iss. 2, pp. 020-029
Open Access | Times Cited: 8

Navigating the Complexity of Scoring Systems in Sepsis Management: A Comprehensive Review
Venkat Reddy, Harshitha Reddy, Rinkle Gemnani, et al.
Cureus (2024)
Open Access | Times Cited: 5

Sepsis: key insights, future directions, and immediate goals. A review and expert opinion
Ignacio Martín‐Loeches, Mervyn Singer, Marc Léone
Intensive Care Medicine (2024) Vol. 50, Iss. 12, pp. 2043-2049
Closed Access | Times Cited: 5

Artificial Intelligence in Sepsis Management: An Overview for Clinicians
Elena Bignami, Michele Berdini, Matteo Panizzi, et al.
Journal of Clinical Medicine (2025) Vol. 14, Iss. 1, pp. 286-286
Open Access

Compartmentalization of the inflammatory response during bacterial sepsis and severe COVID-19
Jean‐Marc Cavaillon, Benjamin G. Chousterman, Tomasz Skirecki
Journal of Intensive Medicine (2024) Vol. 4, Iss. 3, pp. 326-340
Open Access | Times Cited: 3

An early sepsis prediction model utilizing machine learning and unbalanced data processing in a clinical context
Luyao Zhou, Min Shao, Cui Wang, et al.
Preventive Medicine Reports (2024) Vol. 45, pp. 102841-102841
Open Access | Times Cited: 1

Spotlight commentary: Integrating artificial intelligence in clinical pharmacology: Opportunities, challenges and ethical imperatives
Karlo Petković, Zdeslav Strika, Robert Likić, et al.
British Journal of Clinical Pharmacology (2024)
Closed Access | Times Cited: 1

Personalized, disease-stage specific, rapid identification of immunosuppression in sepsis
Θεοδώρα Παππά, Ariel L. Rivas, Michelle Iandiorio, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access | Times Cited: 1

The Frontiers of Smart Healthcare Systems
Nan Lin, Rudy Paul, Sabine Christopher Guerra, et al.
Healthcare (2024) Vol. 12, Iss. 23, pp. 2330-2330
Open Access | Times Cited: 1

Adult Code Sepsis: A Narrative Review of its Implementation and Impact
Andrés Giglio, María P. Aranda, Andrés Ferre, et al.
Journal of Intensive Care Medicine (2024)
Closed Access

AI-Powered Early Detection of Sepsis using Infrared Image Multi-Target based Faster Region-based Convolutional Neural Network
Muntather Almusawi, Vidya Kamma, Arelli Madhavi, et al.
(2024), pp. 1-5
Closed Access

Investigating computational models for diagnosis and prognosis of sepsis based on clinical parameters: Opportunities, challenges, and future research directions
Jyotirmoy Gupta, Amit Kumar Majumder, Diganta Sengupta, et al.
Journal of Intensive Medicine (2024) Vol. 4, Iss. 4, pp. 468-477
Open Access

Research Progress of Deep Learning in Diagnosis of Sepsis
翔宇 崔
Journal of Clinical Personalized Medicine (2024) Vol. 03, Iss. 04, pp. 1676-1681
Open Access

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