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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:

In vitro continuous protein evolution empowered by machine learning and automation
Tianhao Yu, Aashutosh Girish Boob, Nilmani Singh, et al.
Cell Systems (2023) Vol. 14, Iss. 8, pp. 633-644
Closed Access | Times Cited: 18

Showing 18 citing articles:

Machine learning for functional protein design
Pascal Notin, Nathan Rollins, Yarin Gal, et al.
Nature Biotechnology (2024) Vol. 42, Iss. 2, pp. 216-228
Closed Access | Times Cited: 66
Machine Learning-Guided Protein Engineering
Petr Kouba, Pavel Kohout, Faraneh Haddadi, et al.
ACS Catalysis (2023) Vol. 13, Iss. 21, pp. 13863-13895
Open Access | Times Cited: 65
Opportunities and Challenges for Machine Learning-Assisted Enzyme Engineering
Jason Yang, Francesca-Zhoufan Li, Frances H. Arnold
ACS Central Science (2024) Vol. 10, Iss. 2, pp. 226-241
Open Access | Times Cited: 51
Automated in vivo enzyme engineering accelerates biocatalyst optimization
Enrico Orsi, Lennart Schada von Borzyskowski, Stephan Noack, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 18
Machine learning-guided co-optimization of fitness and diversity facilitates combinatorial library design in enzyme engineering
Kerr Ding, M. A. Chin, Yunlong Zhao, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 13
Artificial Intelligence in Point-of-Care Biosensing: Challenges and Opportunities
Connor D. Flynn, Dingran Chang
Diagnostics (2024) Vol. 14, Iss. 11, pp. 1100-1100
Open Access | Times Cited: 11
Data‐Driven Protein Engineering for Improving Catalytic Activity and Selectivity
Yu‐Fei Ao, Mark Dörr, Marian J. Menke, et al.
ChemBioChem (2023) Vol. 25, Iss. 3
Open Access | Times Cited: 19
Engineering the next-generation synthetic cell factory driven by protein engineering
Ailin Guan, Zixi He, Xin Wang, et al.
Biotechnology Advances (2024) Vol. 73, pp. 108366-108366
Closed Access | Times Cited: 4
Enabling pathway design by multiplex experimentation and machine learning
Aashutosh Girish Boob, Junyu Chen, Huimin Zhao
Metabolic Engineering (2023) Vol. 81, pp. 70-87
Open Access | Times Cited: 8
DIProT: A deep learning based interactive toolkit for efficient and effective Protein design
Jieling He, Wenxu Wu, Xiaowo Wang
Synthetic and Systems Biotechnology (2024) Vol. 9, Iss. 2, pp. 217-222
Open Access | Times Cited: 2
Prioritizing High-Consequence Biological Capabilities in Evaluations of Artificial Intelligence Models
Jaspreet Pannu, Doni Bloomfield, Alex Zhu, et al.
(2024)
Closed Access | Times Cited: 2
AI for organic and polymer synthesis
Hong Xin, Qi Yang, Kuangbiao Liao, et al.
Science China Chemistry (2024) Vol. 67, Iss. 8, pp. 2461-2496
Closed Access | Times Cited: 2
Cutting-edge Computational Approaches in Enzyme Design and Activity Enhancement
Ruobin Sun, Dan Wu, Pengcheng Chen, et al.
Biochemical Engineering Journal (2024) Vol. 212, pp. 109510-109510
Closed Access | Times Cited: 2
Systems and synthetic biology-driven engineering of live bacterial therapeutics
Kangsan Kim, Minjeong Kang, Byung‐Kwan Cho
Frontiers in Bioengineering and Biotechnology (2023) Vol. 11
Open Access | Times Cited: 4
Molecule Maker Lab Institute: Accelerating, advancing, and democratizing molecular innovation
Martin D. Burke, Scott E. Denmark, Ying Diao, et al.
AI Magazine (2024) Vol. 45, Iss. 1, pp. 117-123
Closed Access
Expanding the biotechnological scope of metabolic sensors through computation-aided designs
Enrico Orsi, Helena Schulz-Mirbach, Charles A. R. Cotton, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Advancements in mammalian display technology for therapeutic antibody development and beyond: current landscape, challenges, and future prospects
Peter Slavny, Manjunath Hegde, Achim Doerner, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access
Advances in Zero‐Shot Prediction‐Guided Enzyme Engineering Using Machine Learning
Chang Liu, Junxian Wu, Yongbo Chen, et al.
ChemCatChem (2024)
Closed Access
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