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 identifying resistance features of Klebsiella pneumoniae using whole-genome sequence single nucleotide polymorphisms
Wenjia Liu, Nanjiao Ying, Qiusi Mo, et al.
Journal of Medical Microbiology (2021) Vol. 70, Iss. 11
Closed Access | Times Cited: 6
Wenjia Liu, Nanjiao Ying, Qiusi Mo, et al.
Journal of Medical Microbiology (2021) Vol. 70, Iss. 11
Closed Access | Times Cited: 6
Showing 6 citing articles:
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
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
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
Xiaoyu Zhang, Deng Zhang, Xifan Zhang, et al.
Frontiers in Microbiology (2024) Vol. 15
Open Access | Times Cited: 7
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
Chiara Condorelli, Emanuele Nicitra, Nicolò Musso, et al.
PLoS ONE (2024) Vol. 19, Iss. 9, pp. e0309333-e0309333
Open Access | Times Cited: 2
Machine learning model of imipenem‐resistant Klebsiella pneumoniae based on MALDI‐TOF‐MS platform: An observational study
Yu Zeng, Chao Wang, Qing Ye, et al.
Health Science Reports (2023) Vol. 6, Iss. 9
Open Access | Times Cited: 3
Yu Zeng, Chao Wang, Qing Ye, et al.
Health Science Reports (2023) Vol. 6, Iss. 9
Open Access | Times Cited: 3
A study of machine learning to predict NRDS severity based on lung ultrasound score and clinical indicators
Chunyan Huang, Xiaoming Ha, Yanfang Cui, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access
Chunyan Huang, Xiaoming Ha, Yanfang Cui, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access
Harnessing Artificial Intelligence and Machine Learning in the Battle Against Antimicrobial-Resistant Infections
Arup Acharjee, S. Kumar, Papia Acharjee, et al.
(2024), pp. 813-832
Closed Access
Arup Acharjee, S. Kumar, Papia Acharjee, et al.
(2024), pp. 813-832
Closed Access
