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 combined with MALDI-TOF MS has the potential ability to identify serotypes of the avian pathogenRiemerella anatipestifer
Zhuohao Wang, Xiangkuan Zheng, Jin Chen, et al.
Journal of Applied Microbiology (2022) Vol. 134, Iss. 2
Open Access | Times Cited: 5
Zhuohao Wang, Xiangkuan Zheng, Jin Chen, et al.
Journal of Applied Microbiology (2022) Vol. 134, Iss. 2
Open Access | Times Cited: 5
Showing 5 citing articles:
Genome-wide association study reveals serovar-associated genetic loci in Riemerella anatipestifer
Zhishuang Yang, Xueqin Yang, Mingshu Wang, et al.
BMC Genomics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 2
Zhishuang Yang, Xueqin Yang, Mingshu Wang, et al.
BMC Genomics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 2
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
Eiseul Kim, Seung-Min Yang, Jun-Hyeok Ham, et al.
Food Chemistry (2024) Vol. 462, pp. 140931-140931
Closed Access | Times Cited: 2
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 | Times Cited: 1
Eiseul Kim, Seung-Min Yang, So-Yun Lee, et al.
Microbiology Spectrum (2024) Vol. 12, Iss. 10
Open Access | Times Cited: 1
Promising potential of machine learning-assisted MALDI-TOF MS as an effective detector for Streptococcus suis serotype 2 and virulence thereof
Zhuohao Wang, Yu Zhou, Genglin Guo, et al.
Applied and Environmental Microbiology (2023) Vol. 89, Iss. 11
Open Access | Times Cited: 2
Zhuohao Wang, Yu Zhou, Genglin Guo, et al.
Applied and Environmental Microbiology (2023) Vol. 89, Iss. 11
Open Access | Times Cited: 2
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
Eiseul Kim, Seung-Min Yang, Jun-Hyeok Ham, et al.
(2024)
Closed Access
