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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:

Protein engineering via Bayesian optimization-guided evolutionary algorithm and robotic experiments
Ruyun Hu, Lihao Fu, Yongcan Chen, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

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
Accelerating Biocatalysis Discovery with Machine Learning: A Paradigm Shift in Enzyme Engineering, Discovery, and Design
Braun Markus, Gruber Christian C, Krassnigg Andreas, et al.
ACS Catalysis (2023) Vol. 13, Iss. 21, pp. 14454-14469
Open Access | Times Cited: 29
Active learning-assisted directed evolution
Jason Yang, Ravi Lal, James C. Bowden, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Single-Walled Carbon Nanotube Probes for Protease Characterization Directly in Cell-Free Expression Reactions
Sepehr Hejazi, Ryan Godin, Vito Jurasic, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Optimisation strategies for directed evolution without sequencing
Jessica James, Sebastian Towers, Jakob Foerster, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 4
Learning-Based Estimation of Fitness Landscape Ruggedness for Directed Evolution
Sebastian Towers, Jessica James, Harrison Steel, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3
Active Learning-Assisted Directed Evolution
Jason Yang, Ravi Lal, James C. Bowden, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3
Machine learning for metabolic pathway optimization: A review
Yang Cheng, Xinyu Bi, Yameng Xu, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 21, pp. 2381-2393
Open Access | Times Cited: 10
A library approach for the de novo high-throughput isolation of humanized VHH domains with favorable developability properties following camelid immunization
Paul Arras, Han Byul Yoo, Lukas Pekar, et al.
mAbs (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 8
AI/ML combined with next-generation sequencing of VHH immune repertoires enables the rapid identification of de novo humanized and sequence-optimized single domain antibodies: a prospective case study
Paul Arras, Han Byul Yoo, Lukas Pekar, et al.
Frontiers in Molecular Biosciences (2023) Vol. 10
Open Access | Times Cited: 8
Empowering Protein Engineering through Recombination of Beneficial Substitutions
Xinyue Wang, Anni Li, Xiujuan Li, et al.
Chemistry - A European Journal (2024) Vol. 30, Iss. 16
Closed Access | Times Cited: 2
A protein fitness predictive framework based on feature combination and intelligent searching
Zhihui Zhang, Zhixuan Li, Qianyue Wang, et al.
Protein Science (2024) Vol. 33, Iss. 12
Closed Access | Times Cited: 1
STAR: A Web Server for Assisting Directed Protein Evolution with Machine Learning
Likun Yang, Xiaoli Liang, Na Zhang, et al.
ACS Omega (2023) Vol. 8, Iss. 47, pp. 44751-44756
Open Access | Times Cited: 3
Transfer Learning Bayesian Optimization to Design Competitor DNA Molecules for Use in Diagnostic Assays.
Ruby Sedgwick, John Goertz, Molly M. Stevens, et al.
arXiv (Cornell University) (2024)
Open Access
AbDPP: Target‐oriented antibody design with pretraining and prior biological structure knowledge
Chenglei Yu, Xiangtian Lin, Yuxuan Cheng, et al.
Proteins Structure Function and Bioinformatics (2024) Vol. 92, Iss. 10, pp. 1147-1160
Closed Access
Evolutionary Computation in bioinformatics: A survey
Yanyun Zhang, Cheng Li, Guanyu Chen, et al.
Neurocomputing (2024) Vol. 591, pp. 127758-127758
Closed Access
Application of Directed Evolution and Machine Learning to Enhance the Diastereoselectivity of Ketoreductase for Dihydrotetrabenazine Synthesis
Chenming Huang, Li Zhang, Tong Tang, et al.
JACS Au (2024) Vol. 4, Iss. 7, pp. 2547-2556
Open Access
Machine learning-guided multi-site combinatorial mutagenesis enhances the thermostability of pectin lyase
Zhihui Zhang, Zhixuan Li, Manli Yang, et al.
International Journal of Biological Macromolecules (2024) Vol. 277, pp. 134530-134530
Closed Access
Bayesian Optimization in Bioprocess Engineering -Where do we stand today?
Florian Gisperg, Robert Klausser, Mohamed Elshazly, et al.
Authorea (Authorea) (2024)
Open Access
Precise redesign for improving enzyme robustness based on coevolutionary analysis and multidimensional virtual screening
Jie Luo, Chenshuo Song, Wenjing Cui, et al.
Chemical Science (2024) Vol. 15, Iss. 38, pp. 15698-15712
Open Access
Mathematical consideration of massive estimation of dissociation rate constant for genotype-phenotype linking molecules bound to targets through washing/selection and next-generation sequencing
Takuyo Aita, Naoto Nemoto
Journal of Theoretical Biology (2024), pp. 111944-111944
Closed Access
Transfer learning Bayesian optimization for competitor DNA molecule design for use in diagnostic assays
Ruby Sedgwick, John Goertz, Molly M. Stevens, et al.
Biotechnology and Bioengineering (2024)
Open Access
RCS Minimization using Bayesian Optimization
Ahmad Bilal, Abdul Hadee, Yash Shah, et al.
(2024), pp. 740-743
Closed Access
Critical Assessment of Protein Engineering (CAPE): A Student Challenge on the Cloud
Lihao Fu, Yuan Gao, Yongcan Chen, et al.
ACS Synthetic Biology (2024) Vol. 13, Iss. 11, pp. 3782-3787
Open Access
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