Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Showing 21 citing articles:

Employing active learning in the optimization of culture medium for mammalian cells
Takamasa Hashizume, Yuki Ozawa, Bei‐Wen Ying
npj Systems Biology and Applications (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 24
Challenges in developing cell culture media using machine learning
Takamasa Hashizume, Bei‐Wen Ying
Biotechnology Advances (2023) Vol. 70, pp. 108293-108293
Open Access | Times Cited: 17
Immunosenescence: How Aging Increases Susceptibility to Bacterial Infections and Virulence Factors
Nikolaos Theodorakis, Georgios Feretzakis, Christos Hitas, et al.
Microorganisms (2024) Vol. 12, Iss. 10, pp. 2052-2052
Open Access | Times Cited: 6
Autoencoder neural networks enable low dimensional structure analyses of microbial growth dynamics
Yasa Baig, Helena Riuró, Helen Xu, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 14
Growth rate-associated transcriptome reorganization in response to genomic, environmental, and evolutionary interruptions
Yuichiro Matsui, Motoki Nagai, Bei‐Wen Ying
Frontiers in Microbiology (2023) Vol. 14
Open Access | Times Cited: 12
Efforts to Minimise the Bacterial Genome as a Free-Living Growing System
Honoka Aida, Bei‐Wen Ying
Biology (2023) Vol. 12, Iss. 9, pp. 1170-1170
Open Access | Times Cited: 11
Machine learning-assisted medium optimization revealed the discriminated strategies for improved production of the foreign and native metabolites
Honoka Aida, Keisuke Uchida, Motoki Nagai, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 21, pp. 2654-2663
Open Access | Times Cited: 9
Nine (not so simple) steps: a practical guide to using machine learning in microbial ecology
Corinne Walsh, Elías Stallard-Olivera, Noah Fierer
mBio (2023) Vol. 15, Iss. 2
Open Access | Times Cited: 9
Contribution of the genomic and nutritional differentiation to the spatial distribution of bacterial colonies
Kenya Hitomi, Jieruiyi Weng, Bei‐Wen Ying
Frontiers in Microbiology (2022) Vol. 13
Open Access | Times Cited: 10
Experimental evolution for the recovery of growth loss due to genome reduction
Kenya Hitomi, Yoichiro Ishii, Bei‐Wen Ying
eLife (2024) Vol. 13
Open Access | Times Cited: 1
A data-driven approach for cell culture medium optimization
Yuki Ozawa, Takamasa Hashizume, Bei‐Wen Ying
Biochemical Engineering Journal (2024), pp. 109591-109591
Open Access | Times Cited: 1
Employing Active Learning in Medium Optimization for Selective Bacterial Growth
Yuanqiang Zhang, Honoka Aida, Bei‐Wen Ying
Applied Microbiology (2023) Vol. 3, Iss. 4, pp. 1355-1369
Open Access | Times Cited: 2
Global coordination of the mutation and growth rates across the genetic and nutritional variety in Escherichia coli
Zehui Lao, Yuichiro Matsui, Shinya Ijichi, et al.
Frontiers in Microbiology (2022) Vol. 13
Open Access | Times Cited: 4
Experimental evolution for the recovery of growth loss due to genome reduction
Kenya Hitomi, Yoichiro Ishii, Bei‐Wen Ying
eLife (2024) Vol. 13
Open Access
Experimental evolution for the recovery of growth loss due to genome reduction
Kenya Hitomi, Yoichiro Ishii, Bei‐Wen Ying
(2024)
Open Access
Predicting the evolution of antibiotic resistance
Fernanda Ribeiro Pinheiro
Current Opinion in Microbiology (2024) Vol. 82, pp. 102542-102542
Open Access
Data-driven discovery of the interplay between genetic and environmental factors in bacterial growth
Honoka Aida, Bei‐Wen Ying
Communications Biology (2024) Vol. 7, Iss. 1
Open Access
Employing active learning in the optimization of culture medium for mammalian cells
Takamasa Hashizume, Yuki Ozawa, Bei‐Wen Ying
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 1
Machine learning-assisted medium optimization revealed the discriminated strategies for improved production of the foreign and native metabolites
Honoka Aida, Keisuke Uchida, Motoki Nagai, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Experimental evolution for the recovery of growth loss due to genome reduction
Kenya Hitomi, Yoichiro Ishii, Bei‐Wen Ying
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Active learning for medium optimization for selective bacterial culture
Shuyang Zhang, Honoka Aida, Bei‐Wen Ying
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Page 1

Scroll to top