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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:

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: 15

Showing 15 citing articles:

Mime: A flexible machine-learning framework to construct and visualize models for clinical characteristics prediction and feature selection
Hongwei Liu, Wei Zhang, Yihao Zhang, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 2798-2810
Open Access | Times Cited: 14
AI-driven 3D bioprinting for regenerative medicine: From bench to bedside
Huajin Zhang, Xianhao Zhou, Yongcong Fang, et al.
Bioactive Materials (2024) Vol. 45, pp. 201-230
Closed Access | Times Cited: 6
The Effects of Laxogenin and 5-Alpha-hydroxy-laxogenin on Myotube Formation and Maturation During Cultured Meat Production
Jeong Ho Lim, Syed Sayeed Ahmad, Ye Chan Hwang, et al.
International Journal of Molecular Sciences (2025) Vol. 26, Iss. 1, pp. 345-345
Open Access
Increasing the biomolecular relevance of cell culture practice
Raluca E. Ghebosu, Lu Hui, Joy Wolfram
Journal of Biomedical Science (2025) Vol. 32, Iss. 1
Open Access
Droplet microfluidics: unveiling the hidden complexity of the human microbiome
Yibin Xu, Zhiyi Wang, Caiming Li, et al.
Lab on a Chip (2025)
Closed Access
Re-imagining human cell culture media: Challenges, innovations, and future directions
Akila Wijerathna-Yapa, Kathy Sharon Isaac, Michelle Combe, et al.
Biotechnology Advances (2025), pp. 108564-108564
Closed Access
Explainable AI for CHO cell culture media optimization and prediction of critical quality attribute
Neelesh Gangwar, Keerthiveena Balraj, Anurag S. Rathore
Applied Microbiology and Biotechnology (2024) Vol. 108, Iss. 1
Open Access | Times Cited: 3
Industry 4.0 technologies for cultivated meat manufacturing
Sishir K. Kamalapuram, Deepak Choudhury
Food Bioengineering (2024) Vol. 3, Iss. 1, pp. 14-28
Open Access | Times Cited: 2
Research on Optimization Method of Evaporation Duct Prediction Model
Yingxue Cui, Tong Hu, Ke Qi, et al.
Mathematics (2024) Vol. 12, Iss. 2, pp. 205-205
Open Access | Times Cited: 1
Unlocking Potential: A Comprehensive Overview of Cell Culture Banks and Their Impact on Biomedical Research
Sabine Weiskirchen, Antônio Miguel Vieira Monteiro, Radovan Borojević, et al.
Cells (2024) Vol. 13, Iss. 22, pp. 1861-1861
Open Access | Times Cited: 1
Recent advances in culture medium design for enhanced production of monoclonal antibodies in CHO cells: A comparative study of machine learning and systems biology approaches
Hossein Kavoni, Iman Shahidi Pour Savizi, Nathan E. Lewis, et al.
Biotechnology Advances (2024), pp. 108480-108480
Closed 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
The Current State of Realistic Heart Models for Disease Modelling and Cardiotoxicity
Kornél Kistamás, Federica Lamberto, Raminta Vaičiulevičiūtė, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 17, pp. 9186-9186
Open Access
Accelerating Cell Culture Media Development Using Bayesian Optimization-Based Iterative Experimental Design
Harini Narayanan, Joshua Hinckley, R.A. Barry, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
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: 1
Mime: A flexible machine-learning framework to construct and visualize models for clinical characteristics prediction and feature selection
Hongwei Liu, Wei Zhang, Yihao Zhang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
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