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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:

Low-N protein engineering with data-efficient deep learning
Surojit Biswas, Grigory Khimulya, Ethan C. Alley, et al.
Nature Methods (2021) Vol. 18, Iss. 4, pp. 389-396
Open Access | Times Cited: 295

Showing 26-50 of 295 citing articles:

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
Machine learning-enabled retrobiosynthesis of molecules
Tianhao Yu, Aashutosh Girish Boob, Michael Volk, et al.
Nature Catalysis (2023) Vol. 6, Iss. 2, pp. 137-151
Closed Access | Times Cited: 62
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
A primer to directed evolution: current methodologies and future directions
Lara Sellés Vidal, Mark Isalan, John Heap, et al.
RSC Chemical Biology (2023) Vol. 4, Iss. 4, pp. 271-291
Open Access | Times Cited: 44
Meta Learning With Graph Attention Networks for Low-Data Drug Discovery
Qiujie Lv, Guanxing Chen, Ziduo Yang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 8, pp. 11218-11230
Closed Access | Times Cited: 43
Computational redesign of a hydrolase for nearly complete PET depolymerization at industrially relevant high-solids loading
Yinglu Cui, Yanchun Chen, Jinyuan Sun, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 41
Artificial intelligence-aided protein engineering: from topological data analysis to deep protein language models
Yuchi Qiu, Guo‐Wei Wei
Briefings in Bioinformatics (2023) Vol. 24, Iss. 5
Open Access | Times Cited: 38
Persistent spectral theory-guided protein engineering
Yuchi Qiu, Guo‐Wei Wei
Nature Computational Science (2023) Vol. 3, Iss. 2, pp. 149-163
Open Access | Times Cited: 36
Assessing antibody and nanobody nativeness for hit selection and humanization with AbNatiV
Aubin Ramon, Montader Ali, Misha Atkinson, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 1, pp. 74-91
Open Access | Times Cited: 24
Unsupervised evolution of protein and antibody complexes with a structure-informed language model
Varun R. Shanker, Theodora U. J. Bruun, Brian Hie, et al.
Science (2024) Vol. 385, Iss. 6704, pp. 46-53
Closed Access | Times Cited: 24
Deep generative design of RNA family sequences
Shunsuke Sumi, Michiaki Hamada, Hirohide Saito
Nature Methods (2024) Vol. 21, Iss. 3, pp. 435-443
Closed Access | Times Cited: 21
Machine Learning and Deep Learning in Synthetic Biology: Key Architectures, Applications, and Challenges
Manoj Kumar Goshisht
ACS Omega (2024) Vol. 9, Iss. 9, pp. 9921-9945
Open Access | Times Cited: 20
Enhancing efficiency of protein language models with minimal wet-lab data through few-shot learning
Ziyi Zhou, Liang Zhang, Yuanxi Yu, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 16
SignalP: The Evolution of a Web Server
Henrik Nielsen, Felix Teufel, Søren Brunak, et al.
Methods in molecular biology (2024), pp. 331-367
Closed Access | Times Cited: 12
Simulating 500 million years of evolution with a language model
Thomas Hayes, Roshan Rao, Halil Akin, et al.
Science (2025)
Open Access | Times Cited: 1
Accelerated enzyme engineering by machine-learning guided cell-free expression
Grant M. Landwehr, Jonathan W. Bogart, Carol Magalhaes, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 1
FLIP: Benchmark tasks in fitness landscape inference for proteins
Christian Dallago, Jody Mou, Kadina E. Johnston, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 90
Sequence-to-function deep learning frameworks for engineered riboregulators
Jacqueline A. Valeri, Katherine M. Collins, Pradeep Ramesh, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 86
Applications of artificial intelligence to enzyme and pathway design for metabolic engineering
Woo Dae Jang, Gi Bae Kim, Yeji Kim, et al.
Current Opinion in Biotechnology (2021) Vol. 73, pp. 101-107
Closed Access | Times Cited: 84
Adaptive machine learning for protein engineering
Brian Hie, Kevin Yang
Current Opinion in Structural Biology (2021) Vol. 72, pp. 145-152
Open Access | Times Cited: 84
Recombineering and MAGE
Timothy M. Wannier, Peter N. Ciaccia, Andrew D. Ellington, et al.
Nature Reviews Methods Primers (2021) Vol. 1, Iss. 1
Open Access | Times Cited: 69
Differentiable biology: using deep learning for biophysics-based and data-driven modeling of molecular mechanisms
Mohammed AlQuraishi, Peter K. Sorger
Nature Methods (2021) Vol. 18, Iss. 10, pp. 1169-1180
Open Access | Times Cited: 69
Deep generative modeling for protein design
Alexey Strokach, Philip M. Kim
Current Opinion in Structural Biology (2021) Vol. 72, pp. 226-236
Open Access | Times Cited: 69
Fast end-to-end learning on protein surfaces
Freyr Sverrisson, Jean Feydy, Bruno E. Correia, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 64
SYNBIP: synthetic binding proteins for research, diagnosis and therapy
Xiaona Wang, Fengcheng Li, Wenqi Qiu, et al.
Nucleic Acids Research (2021) Vol. 50, Iss. D1, pp. D560-D570
Open Access | Times Cited: 64

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