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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:

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: 134

Showing 1-25 of 134 citing articles:

Next Generation and Other Sequencing Technologies in Diagnostic Microbiology and Infectious Diseases
Evann E. Hilt, Patricia Ferrieri
Genes (2022) Vol. 13, Iss. 9, pp. 1566-1566
Open Access | Times Cited: 91
Machine Learning for Antimicrobial Resistance Prediction: Current Practice, Limitations, and Clinical Perspective
Jee In Kim, Finlay Maguire, Kara K. Tsang, et al.
Clinical Microbiology Reviews (2022) Vol. 35, Iss. 3
Open Access | Times Cited: 88
Application of Artificial Intelligence in Combating High Antimicrobial Resistance Rates
Ali A. Rabaan, Saad Alhumaid, Abbas Al Mutair, et al.
Antibiotics (2022) Vol. 11, Iss. 6, pp. 784-784
Open Access | Times Cited: 79
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: 65
Artificial Intelligence for Antimicrobial Resistance Prediction: Challenges and Opportunities towards Practical Implementation
Tabish Ali, Sarfaraz Ahmed, Muhammad Aslam
Antibiotics (2023) Vol. 12, Iss. 3, pp. 523-523
Open Access | Times Cited: 65
Co-selection for antibiotic resistance by environmental contaminants
Laura Murray, April Hayes, Jason Snape, et al.
npj Antimicrobials and Resistance (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 50
Current and Future Technologies for the Detection of Antibiotic-Resistant Bacteria
Dina Yamin, Vuk Uskoković, Abubakar Muhammad Wakil, et al.
Diagnostics (2023) Vol. 13, Iss. 20, pp. 3246-3246
Open Access | Times Cited: 49
Antimicrobial resistance crisis: could artificial intelligence be the solution?
Guangyu Liu, Dan Yu, Mei-Mei Fan, et al.
Military Medical Research (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 32
The role and potential of computer-aided drug discovery strategies in the discovery of novel antimicrobials
Samson O. Oselusi, Phumuzile Dube, Adeshina I. Odugbemi, et al.
Computers in Biology and Medicine (2024) Vol. 169, pp. 107927-107927
Open Access | Times Cited: 19
Harnessing of Artificial Intelligence for the Diagnosis and Prevention of Hospital-Acquired Infections: A Systematic Review
Buket Baddal, Ferdiye Taner, Dilber Uzun Ozsahin
Diagnostics (2024) Vol. 14, Iss. 5, pp. 484-484
Open Access | Times Cited: 16
Challenges and applications of artificial intelligence in infectious diseases and antimicrobial resistance
Angela Cesaro, Samuel C. Hoffman, Payel Das, et al.
npj Antimicrobials and Resistance (2025) Vol. 3, Iss. 1
Open Access | Times Cited: 6
Potential applications and performance of machine learning techniques and algorithms in clinical practice: A systematic review
Ezekwesiri Michael Nwanosike, Barbara R. Conway, Hamid A. Merchant, et al.
International Journal of Medical Informatics (2021) Vol. 159, pp. 104679-104679
Open Access | Times Cited: 80
Surgical Antibiotic Prophylaxis in an Era of Antibiotic Resistance: Common Resistant Bacteria and Wider Considerations for Practice
Bradley D. Menz, Esmita Charani, David Gordon, et al.
Infection and Drug Resistance (2021) Vol. Volume 14, pp. 5235-5252
Open Access | Times Cited: 71
Machine Learning in Antibacterial Drug Design
Marko Jukič, Urban Bren
Frontiers in Pharmacology (2022) Vol. 13
Open Access | Times Cited: 40
Innovations in genomic antimicrobial resistance surveillance
Nicole E. Wheeler, Vivien Price, Edward Cunningham-Oakes, et al.
The Lancet Microbe (2023) Vol. 4, Iss. 12, pp. e1063-e1070
Open Access | Times Cited: 33
Advances in Antimicrobial Peptide Discovery via Machine Learning and Delivery via Nanotechnology
Alexa Sowers, Guangshun Wang, Malcolm Xing, et al.
Microorganisms (2023) Vol. 11, Iss. 5, pp. 1129-1129
Open Access | Times Cited: 26
Deep learning tools to accelerate antibiotic discovery
Angela Cesaro, Mojtaba Bagheri, Marcelo D. T. Torres, et al.
Expert Opinion on Drug Discovery (2023) Vol. 18, Iss. 11, pp. 1245-1257
Closed Access | Times Cited: 22
Implications of Artificial Intelligence in Addressing Antimicrobial Resistance: Innovations, Global Challenges, and Healthcare’s Future
Francesco Branda, Fabio Scarpa
Antibiotics (2024) Vol. 13, Iss. 6, pp. 502-502
Open Access | Times Cited: 12
Deep learning model for personalized prediction of positive MRSA culture using time-series electronic health records
Masayuki Nigo, Laila Rasmy, Bingyu Mao, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 11
Explainable and Interpretable Machine Learning for Antimicrobial Stewardship: Opportunities and Challenges
Daniele Roberto Giacobbe, Cristina Marelli, Sabrina Guastavino, et al.
Clinical Therapeutics (2024) Vol. 46, Iss. 6, pp. 474-480
Closed Access | Times Cited: 11
Harnessing the potential of bimetallic nanoparticles: Exploring a novel approach to address antimicrobial resistance
Sharda Bharti
World Journal of Microbiology and Biotechnology (2024) Vol. 40, Iss. 3
Closed Access | Times Cited: 10
Machine Learning-Assisted Raman Spectroscopy and SERS for Bacterial Pathogen Detection: Clinical, Food Safety, and Environmental Applications
Md Hasan-Ur Rahman, Rabbi Sikder, Manoj Tripathi, et al.
Chemosensors (2024) Vol. 12, Iss. 7, pp. 140-140
Open Access | Times Cited: 9
From Data to Decisions: Leveraging Artificial Intelligence and Machine Learning in Combating Antimicrobial Resistance – a Comprehensive Review
José Manuel Pérez de la Lastra, Samuel J. T. Wardell, Tarun Pal, et al.
Journal of Medical Systems (2024) Vol. 48, Iss. 1
Open Access | Times Cited: 9
Measuring water pollution effects on antimicrobial resistance through explainable artificial intelligence
A. Monaco, Mario Caruso, Loredana Bellantuono, et al.
Environmental Pollution (2025), pp. 125620-125620
Closed Access | Times Cited: 1
Personal Care Products as a Contributing Factor to Antimicrobial Resistance: Current State and Novel Approach to Investigation
Giulia Caioni, Elisabetta Benedetti, Monia Perugini, et al.
Antibiotics (2023) Vol. 12, Iss. 4, pp. 724-724
Open Access | Times Cited: 20
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