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:

Chatting with artificial intelligence to combat antibiotic resistance: Opportunities and challenges
Mohammad Abavisani, Alireza Khoshrou, Sobhan Karbas Foroushan, et al.
Current Research in Biotechnology (2024) Vol. 7, pp. 100197-100197
Open Access | Times Cited: 5

Showing 5 citing articles:

The Role of ChatGPT and AI Chatbots in Optimizing Antibiotic Therapy: A Comprehensive Narrative Review
Ninel Iacobus Antonie, Gina Gheorghe, Vlad Ionescu, et al.
Antibiotics (2025) Vol. 14, Iss. 1, pp. 60-60
Open Access

ARGai 2.0: A Feature Engineering Enabled Deep Network Model for Antibiotic Resistance Gene and Strain Identification in E. coli
Debasish Swapnesh Kumar Nayak, Arpita Priyadarshini, Sweta Padma Routray, et al.
International Journal of Online and Biomedical Engineering (iJOE) (2025) Vol. 21, Iss. 01, pp. 76-96
Open Access

Enhancing risk management in hospitals: leveraging artificial intelligence for improved outcomes
Ranieri Guerra
Italian Journal of Medicine (2024) Vol. 18, Iss. 2
Open Access | Times Cited: 3

Synthesis, characterization and antimicrobial activities of some quinoxaline-, naphthalene- and xylene-based macrocyclic compounds
Iliyasu Aliyu Bashir, A. O. Oyewale, Sunwoo Lee, et al.
Journal of Molecular Structure (2024) Vol. 1315, pp. 138947-138947
Closed Access | Times Cited: 1

DnnARs: An Artificial Intelligence Technique for Prediction of Antimicrobial Resistant Strains in E. coli Bacteria Causing Urine Tract Infection
Debasish Swapnesh Kumar Nayak, Ankita Priyadarshini, P. Mahanta, et al.
SN Computer Science (2024) Vol. 5, Iss. 8
Closed Access

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