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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:

Direct prediction of carbapenem-resistant, carbapenemase-producing, and colistin-resistant Klebsiella pneumoniae isolates from routine MALDI-TOF mass spectra using machine learning and outcome evaluation
Jiaxin Yu, Yu-Tzu Lin, Wei-Cheng Chen, et al.
International Journal of Antimicrobial Agents (2023) Vol. 61, Iss. 6, pp. 106799-106799
Closed Access | Times Cited: 22

Showing 22 citing articles:

A Review of Carbapenem Resistance in Enterobacterales and Its Detection Techniques
Oznur Caliskan-Aydogan, Evangelyn C. Alocilja
Microorganisms (2023) Vol. 11, Iss. 6, pp. 1491-1491
Open Access | Times Cited: 50
Artificial intelligence applications in the diagnosis and treatment of bacterial infections
Xiaoyu Zhang, Deng Zhang, Xifan Zhang, et al.
Frontiers in Microbiology (2024) Vol. 15
Open Access | Times Cited: 7
Biofilm antimicrobial susceptibility testing: where are we and where could we be going?
Tom Coenye
Clinical Microbiology Reviews (2023) Vol. 36, Iss. 4
Open Access | Times Cited: 17
Hypervirulent and carbapenem-resistant Klebsiella pneumoniae: A global public health threat
Ting-yu Lei, Bin-bin Liao, Liang-Rui Yang, et al.
Microbiological Research (2024) Vol. 288, pp. 127839-127839
Closed Access | Times Cited: 6
Antibiotic combinations prediction based on machine learning to multicentre clinical data and drug interaction correlation
Jiaan Qin, Yuhe R. Yang, Chao Ai, et al.
International Journal of Antimicrobial Agents (2024) Vol. 63, Iss. 5, pp. 107122-107122
Closed Access | Times Cited: 5
Carbapenem-resistant Gram-negative bacteria (CR-GNB) in ICUs: resistance genes, therapeutics, and prevention – a comprehensive review
Qi Li, Xiaoshi Zhou, Rou Yang, et al.
Frontiers in Public Health (2024) Vol. 12
Open Access | Times Cited: 5
Machine learning and matrix-assisted laser desorption/ionization time-of-flight mass spectra for antimicrobial resistance prediction: A systematic review of recent advancements and future development
Xaviera A. López-Cortés, José M. Manríquez-Troncoso, John Kandalaft-Letelier, et al.
Journal of Chromatography A (2024) Vol. 1734, pp. 465262-465262
Closed Access | Times Cited: 5
Carbapenem-Resistant Klebsiella pneumoniae: A comprehensive review of phenotypic and genotypic methods for detection
Darya Mohammadpour, Mohammad Yosef Memar, Hamed Ebrahimzadeh Leylabadlo, et al.
The Microbe (2025), pp. 100246-100246
Open Access
Prediction of methicillin-resistant Staphylococcus aureus and carbapenem-resistant Klebsiella pneumoniae from flagged blood cultures by combining rapid Sepsityper MALDI-TOF mass spectrometry with machine learning
Jiaxin Yu, Hsiu-Hsien Lin, Kun-Hao Tseng, et al.
International Journal of Antimicrobial Agents (2023) Vol. 62, Iss. 6, pp. 106994-106994
Closed Access | Times Cited: 11
Antimicrobial peptides: A promising solution to combat colistin and carbapenem resistance
Ali Raza, Nadia Mushtaq, Abdul Jabbar, et al.
Gene Reports (2024) Vol. 36, pp. 101935-101935
Closed Access | Times Cited: 3
Predicting Pseudomonas aeruginosa drug resistance using artificial intelligence and clinical MALDI-TOF mass spectra
Hoai-An Nguyen, Anton Y. Peleg, Jiangning Song, et al.
mSystems (2024) Vol. 9, Iss. 9
Open Access | Times Cited: 3
Integration of MALDI-TOF MS and machine learning to classify enterococci: A comparative analysis of supervised learning algorithms for species prediction
Eiseul Kim, Seung-Min Yang, Jun-Hyeok Ham, et al.
Food Chemistry (2024) Vol. 462, pp. 140931-140931
Closed Access | Times Cited: 2
MALDI-TOF MS-Based KPC Direct Detection from Patients’ Positive Blood Culture Bottles, Short-Term Cultures, and Colonies at the Hospital
Agustina Costa, Roque Figueroa-Espinosa, Jerson A. Martínez, et al.
Pathogens (2023) Vol. 12, Iss. 7, pp. 865-865
Open Access | Times Cited: 5
Rapid discrimination of Bifidobacterium longum subspecies based on MALDI-TOF MS and machine learning
Kexin Liu, Yajie Wang, Minlei Zhao, et al.
Frontiers in Microbiology (2023) Vol. 14
Open Access | Times Cited: 3
Integration of Maldi-Tof Ms and Machine Learning to Classify Enterococci: A Comparative Analysis of Supervised Learning Algorithms for Species Prediction
Eiseul Kim, Seung-Min Yang, Jun-Hyeok Ham, et al.
(2024)
Closed Access
Classification of Latilactobacillus sakei subspecies based on MALDI-TOF MS protein profiles using machine learning models
Eiseul Kim, Seung-Min Yang, So-Yun Lee, et al.
Microbiology Spectrum (2024) Vol. 12, Iss. 10
Open Access
Risk factors and prognostic model of carbapenem-resistant Klebsiella pneumoniae in patients with bloodstream infection
Ling Zeng, Jiaxin Ma, Jiehui Qiu, et al.
Research Square (Research Square) (2024)
Open Access
Direct Klebsiella pneumoniae Carbapenem Resistance and Carbapenemases Genotype Prediction by Al-MOF/TiO2@Au Cubic Heterostructures-Assisted Intact Bacterial Cells Metabolic Analysis
Dumei Ma, Yongqi Wang, Jiacheng Ye, et al.
Analytical Chemistry (2024) Vol. 96, Iss. 43, pp. 17192-17200
Closed Access
A Possible Tool for Guiding Therapeutic Approaches to Urinary Infections with Klebsiella pneumoniae: Analyzing a Dataset from a Romanian Tertiary Hospital
Dragos Stefan Lazar, Maria Nica, Daniel Codreanu, et al.
Antibiotics (2024) Vol. 13, Iss. 12, pp. 1170-1170
Open Access
Pioneering Klebsiella Pneumoniae Antibiotic Resistance Prediction With Artificial Intelligence-Clinical Decision Support System–Enhanced Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry: Retrospective Study (Preprint)
Ming‐Jr Jian, Tai‐Han Lin, Hsing‐Yi Chung, et al.
(2024)
Closed Access
Pioneering Klebsiella Pneumoniae Antibiotic Resistance Prediction With Artificial Intelligence-Clinical Decision Support System–Enhanced Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry: Retrospective Study
Ming‐Jr Jian, Tai‐Han Lin, Hsing‐Yi Chung, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e58039-e58039
Open Access
PredictingPseudomonas aeruginosadrug resistance using artificial intelligence and clinical MALDI-TOF mass spectra
Hoai-An Nguyen, Anton Y. Peleg, Jiangning Song, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
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