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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 clinical decision support in infectious diseases: a narrative review of current applications
Nathan Peiffer‐Smadja, Timothy M. Rawson, Raheelah Ahmad, et al.
Clinical Microbiology and Infection (2019) Vol. 26, Iss. 5, pp. 584-595
Open Access | Times Cited: 388

Showing 1-25 of 388 citing articles:

Applications of machine learning and artificial intelligence for Covid-19 (SARS-CoV-2) pandemic: A review
Samuel Lalmuanawma, Jamal Hussain, Lalrinfela Chhakchhuak
Chaos Solitons & Fractals (2020) Vol. 139, pp. 110059-110059
Open Access | Times Cited: 808
Applications of Machine Learning to the Problem of Antimicrobial Resistance: an Emerging Model for Translational Research
Melis N. Anahtar, Jason H. Yang, Sanjat Kanjilal
Journal of Clinical Microbiology (2021) Vol. 59, Iss. 7
Open Access | Times Cited: 144
Using machine learning for healthcare challenges and opportunities
Abdullah Alanazi
Informatics in Medicine Unlocked (2022) Vol. 30, pp. 100924-100924
Open Access | Times Cited: 139
Nosocomial Infection
Marin H. Kollef, Antoní Torres, Andrew F. Shorr, et al.
Critical Care Medicine (2021) Vol. 49, Iss. 2, pp. 169-187
Closed Access | Times Cited: 138
Artificial Intelligence Applications in Health Care Practice: Scoping Review
Malvika Sharma, Carl Savage, Monika Nair, et al.
Journal of Medical Internet Research (2022) Vol. 24, Iss. 10, pp. e40238-e40238
Open Access | Times Cited: 113
Artificial intelligence (AI)-enabled CRM capability in healthcare: The impact on service innovation
Pradeep Kumar, Sujeet Kumar Sharma, Vincent Dutot
International Journal of Information Management (2022) Vol. 69, pp. 102598-102598
Closed Access | Times Cited: 98
Using Machine Learning to Predict Antimicrobial Resistance―A Literature Review
Aikaterini Sakagianni, Christina Koufopoulou, Georgios Feretzakis, et al.
Antibiotics (2023) Vol. 12, Iss. 3, pp. 452-452
Open Access | Times Cited: 74
Artificial Intelligence in Medicine and Dentistry
Marin Vodanović, Marko Subašić, Denis Milošević, et al.
Acta Stomatologica Croatica (2023) Vol. 57, Iss. 1, pp. 70-84
Open Access | Times Cited: 52
Brave New World of Artificial Intelligence: Its Use in Antimicrobial Stewardship—A Systematic Review
Rafaela Pinto-de-Sá, Bernardo Sousa‐Pinto, Sofia Costa‐de‐Oliveira
Antibiotics (2024) Vol. 13, Iss. 4, pp. 307-307
Open Access | Times Cited: 21
Personalising intravenous to oral antibiotic switch decision making through fair interpretable machine learning
W. Bolton, Richard Wilson, Mark Gilchrist, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 16
The role of artificial intelligence in pandemic responses: from epidemiological modeling to vaccine development
Mayur Suresh Gawande, N. N. Zade, Praveen Kumar, et al.
Molecular Biomedicine (2025) Vol. 6, Iss. 1
Open Access | Times Cited: 4
Harnessing artificial intelligence in sepsis care: advances in early detection, personalized treatment, and real-time monitoring
Fang Li, Shengguo Wang, Zhi Gao, et al.
Frontiers in Medicine (2025) Vol. 11
Open Access | Times Cited: 4
A review of artificial intelligence applications for antimicrobial resistance
Ji Lv, Senyi Deng, Le Zhang
Biosafety and Health (2020) Vol. 3, Iss. 1, pp. 22-31
Open Access | Times Cited: 106
Machine learning in the clinical microbiology laboratory: has the time come for routine practice?
Nathan Peiffer‐Smadja, Sarah Dellière, Christophe Rodriguez, et al.
Clinical Microbiology and Infection (2020) Vol. 26, Iss. 10, pp. 1300-1309
Open Access | Times Cited: 105
Performance and impact of a multiplex PCR in ICU patients with ventilator-associated pneumonia or ventilated hospital-acquired pneumonia
Nathan Peiffer‐Smadja, Lila Bouadma, Vincent Mathy, et al.
Critical Care (2020) Vol. 24, Iss. 1
Open Access | Times Cited: 92
Machine learning in infection management using routine electronic health records: tools, techniques, and reporting of future technologies
Christian F. Luz, Marcus Vollmer, Johan Decruyenaere, et al.
Clinical Microbiology and Infection (2020) Vol. 26, Iss. 10, pp. 1291-1299
Open Access | Times Cited: 90
Optimising antimicrobial use in humans – review of current evidence and an interdisciplinary consensus on key priorities for research
Esmita Charani, Martin McKee, Raheelah Ahmad, et al.
The Lancet Regional Health - Europe (2021) Vol. 7, pp. 100161-100161
Open Access | Times Cited: 86
Application of Artificial Intelligence in Shared Decision Making: Scoping Review
Samira Abbasgholizadeh Rahimi, Michelle Cwintal, Yuhui Huang, et al.
JMIR Medical Informatics (2022) Vol. 10, Iss. 8, pp. e36199-e36199
Open Access | Times Cited: 66
Sepsis prediction, early detection, and identification using clinical text for machine learning: a systematic review
Melissa Y. Yan, Lise Tuset Gustad, Øystein Nytrø
Journal of the American Medical Informatics Association (2021) Vol. 29, Iss. 3, pp. 559-575
Open Access | Times Cited: 62
A machine learning algorithm to analyse the effects of vaccination on COVID-19 mortality
Cosimo Magazzino, Marco Mele, Mario Coccia
Epidemiology and Infection (2022) Vol. 150
Open Access | Times Cited: 62
Postoperative delirium prediction using machine learning models and preoperative electronic health record data
Andrew Bishara, Catherine Chiu, Elizabeth L. Whitlock, et al.
BMC Anesthesiology (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 60
Grounded in reality: artificial intelligence in medical education
Jacob Krive, Miriam Isola, Linda Chang, et al.
JAMIA Open (2023) Vol. 6, Iss. 2
Open Access | Times Cited: 41
The use of machine learning and artificial intelligence within pediatric critical care
Neel Shah, Ahmed Arshad, Monty B. Mazer, et al.
Pediatric Research (2022) Vol. 93, Iss. 2, pp. 405-412
Open Access | Times Cited: 39
An artificial intelligence network‐guided signature for predicting outcome and immunotherapy response in lung adenocarcinoma patients based on 26 machine learning algorithms
Nan Zhang, Hao Zhang, Zaoqu Liu, et al.
Cell Proliferation (2023) Vol. 56, Iss. 4
Open Access | Times Cited: 35
Construction of the XGBoost model for early lung cancer prediction based on metabolic indices
Xiuliang Guan, Yue Du, Rufei Ma, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 29
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