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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:

Antimicrobial Resistance and Machine Learning: Challenges and Opportunities
Eyad Elyan, Amir Hussain, Aziz Sheikh, et al.
IEEE Access (2022) Vol. 10, pp. 31561-31577
Open Access | Times Cited: 23

Showing 23 citing articles:

Antimicrobial resistance: Impacts, challenges, and future prospects
Sirwan Khalid Ahmed, Safin Hussein, Karzan Qurbani, et al.
Journal of Medicine Surgery and Public Health (2024) Vol. 2, pp. 100081-100081
Open Access | Times Cited: 183
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: 80
The Role of Artificial Intelligence and Machine Learning Models in Antimicrobial Stewardship in Public Health: A Narrative Review
Flavia Pennisi, A.C. Pinto, Giovanni Emanuele Ricciardi, et al.
Antibiotics (2025) Vol. 14, Iss. 2, pp. 134-134
Open Access | Times Cited: 1
Host transcriptomics and machine learning for secondary bacterial infections in patients with COVID-19: a prospective, observational cohort study
Meagan Carney, Tiana Maria Pelaia, Tracy Chew, et al.
The Lancet Microbe (2024) Vol. 5, Iss. 3, pp. e272-e281
Open Access | Times Cited: 7
Artificial Intelligence to Improve Antibiotic Prescribing: A Systematic Review
Doaa Amin, Nathaly Garzón‐Orjuela, Agustín García Pereira, et al.
Antibiotics (2023) Vol. 12, Iss. 8, pp. 1293-1293
Open Access | Times Cited: 13
Eugenol: An essential oil with potential antimicrobial and antibiofilm activity against foodborne bacteria
Zeeshan Hyderi, Sageer Abass, Deepa Iswarya, et al.
Journal of Stored Products Research (2025) Vol. 112, pp. 102644-102644
Closed Access
Herbal medicine: the magic way crouching microbial resistance
Alaa Badr Eldin, Marwa I. Ezzat, Manal S. Afifi, et al.
Natural Product Research (2023) Vol. 37, Iss. 24, pp. 4280-4289
Closed Access | Times Cited: 12
Prediction of antimicrobial resistance of Klebsiella pneumoniae from genomic data through machine learning
Chiara Condorelli, Emanuele Nicitra, Nicolò Musso, et al.
PLoS ONE (2024) Vol. 19, Iss. 9, pp. e0309333-e0309333
Open Access | Times Cited: 2
Rapid assessment of antibiotic susceptibility using a fully 3D-printed impedance-based biosensor
Roger Domingo-Roca, Perrine Lasserre, Lily Riordan, et al.
Biosensors and Bioelectronics X (2023) Vol. 13, pp. 100308-100308
Open Access | Times Cited: 6
A novel approach to antimicrobial resistance: Machine learning predictions for carbapenem-resistant Klebsiella in intensive care units
Volkan Alparslan, Özgür Güler, B İnner, et al.
International Journal of Medical Informatics (2024) Vol. 195, pp. 105751-105751
Closed Access | Times Cited: 1
Source Attribution of Antibiotic Resistance Genes in Estuarine Aquaculture: A Machine Learning Approach
Helena Sofia Salgueiro, Ana Cristina Ferreira, Ana Sofia Ribeiro Duarte, et al.
Antibiotics (2024) Vol. 13, Iss. 1, pp. 107-107
Open Access | Times Cited: 1
Host-pathogen interactions: databases and approaches for data generation
Yasmin Bano, Abhinav Shrivastava
Elsevier eBooks (2024), pp. 15-51
Closed Access | Times Cited: 1
Leveraging machine learning for vaccine distribution in resource-limited settings: A synthesis of approaches
Charles Chukwudalu Ebulue, Ogochukwu Virginia Ekkeh, Ogochukwu Roseline Ebulue, et al.
International Medical Science Research Journal (2024) Vol. 4, Iss. 5, pp. 544-557
Open Access | Times Cited: 1
An Automated Machine Learning Framework for Antimicrobial Resistance Prediction Through Transcriptomics
Adil Alsiyabi, Syed Ahsan Shahid, Ahmed Al‐Harrasi
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access | Times Cited: 1
Microbial community succession and antibiotic resistance gene response during the one-step startup of thermophilic UASB
Yun F. Wang, Yongzhi Chi, Ye Tian, et al.
Journal of environmental chemical engineering (2024) Vol. 12, Iss. 5, pp. 114003-114003
Closed Access | Times Cited: 1
Mapping the effect of antimicrobial resistance in poultry production in Senegal: an integrated system dynamics and network analysis approach
Joshua Aboah, Babacar Ngom, Eves Emes, et al.
Frontiers in Veterinary Science (2023) Vol. 10
Open Access | Times Cited: 2
Meta-analysis of wastewater microbiome for antibiotic resistance profiling
Sakina Bombaywala, Abhay Bajaj, Nishant A. Dafale
Journal of Microbiological Methods (2024) Vol. 223, pp. 106953-106953
Closed Access
Applying Machine Learning for Antibiotic Development and Prediction of Microbial Resistance
Apurva Panjla, Saurabh Joshi, Geetanjali Singh, et al.
Chemistry - An Asian Journal (2024)
Closed Access
Harnessing Machine Learning to Uncover Hidden Patterns in Azole-Resistant CYP51/ERG11 Proteins
Otávio Guilherme Gonçalves de Almeida, Márcia Regina von Zeska Kress
Microorganisms (2024) Vol. 12, Iss. 8, pp. 1525-1525
Open Access
MAPRS: An intelligent approach for post-prescription review based on multi-label learning
Guangfei Yang, Ziyao Zhou, Aili Ding, et al.
Artificial Intelligence in Medicine (2024) Vol. 157, pp. 102971-102971
Closed Access
Integrating Machine Learning and Multitargeted Drug Design to Combat Antimicrobial Resistance: A Systematic Review
Nagmi Bano, Salman Arafath Mohammed, Khalid Raza
Journal of drug targeting (2024) Vol. 33, Iss. 3, pp. 384-396
Closed Access
Artificial Intelligence in Battle against Antimicrobial Resistance: Opportunities and Challenges
Et al. Debasish Swapnesh Kumar Nayak
International Journal on Recent and Innovation Trends in Computing and Communication (2023) Vol. 11, Iss. 9, pp. 427-437
Open Access | Times Cited: 1
Identifying Antibiotic Resistance in Pathogenic Bacteria through SVM and Neural Network Predictive Models
Kezhu Wang, Hangjun Zhou, Mengzhi Shen
(2023), pp. 571-575
Closed Access | Times Cited: 1
On the contribution of qualitative analysis in mathematical modeling of plasmid-mediated ceftiofur resistance
Eduardo Ibargüen-Mondragón, Victoria Otero–Espinar, Miller Cerón Gómez
Electronic Research Archive (2023) Vol. 31, Iss. 11, pp. 6673-6696
Open Access
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