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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:

Learning the language of viral evolution and escape
Brian Hie, Ellen D. Zhong, Bonnie Berger, et al.
Science (2021) Vol. 371, Iss. 6526, pp. 284-288
Open Access | Times Cited: 260

Showing 26-50 of 260 citing articles:

Representation learning applications in biological sequence analysis
Hitoshi Iuchi, Taro Matsutani, Keisuke Yamada, et al.
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 3198-3208
Open Access | Times Cited: 66
Methodology-Centered Review of Molecular Modeling, Simulation, and Prediction of SARS-CoV-2
Kaifu Gao, Rui Wang, Jiahui Chen, et al.
Chemical Reviews (2022) Vol. 122, Iss. 13, pp. 11287-11368
Open Access | Times Cited: 54
Rapid detection of viruses: Based on silver nanoparticles modified with bromine ions and acetonitrile
Zhe Zhang, Dan Li, Xiaotong Wang, et al.
Chemical Engineering Journal (2022) Vol. 438, pp. 135589-135589
Open Access | Times Cited: 49
Masked inverse folding with sequence transfer for protein representation learning
Kevin Yang, Niccolò Zanichelli, Hugh Yeh
Protein Engineering Design and Selection (2022) Vol. 36
Open Access | Times Cited: 40
Using machine learning to predict the effects and consequences of mutations in proteins
Daniel J. Diaz, Anastasiya V. Kulikova, Andrew D. Ellington, et al.
Current Opinion in Structural Biology (2023) Vol. 78, pp. 102518-102518
Open Access | Times Cited: 33
Predicting the antigenic evolution of SARS-COV-2 with deep learning
Wenkai Han, Ningning Chen, Xinzhou Xu, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 31
Linguistically inspired roadmap for building biologically reliable protein language models
Mai Ha Vu, Rahmad Akbar, Philippe A. Robert, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 5, pp. 485-496
Closed Access | Times Cited: 30
Early computational detection of potential high-risk SARS-CoV-2 variants
Karim Beguir, Marcin J. Skwark, Yunguan Fu, et al.
Computers in Biology and Medicine (2023) Vol. 155, pp. 106618-106618
Open Access | Times Cited: 29
GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics
Maxim Zvyagin, Alexander Brace, Kyle Hippe, et al.
The International Journal of High Performance Computing Applications (2023) Vol. 37, Iss. 6, pp. 683-705
Open Access | Times Cited: 27
SESNet: sequence-structure feature-integrated deep learning method for data-efficient protein engineering
Mingchen Li, Liqi Kang, Yi Xiong, et al.
Journal of Cheminformatics (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 22
Computational Scoring and Experimental Evaluation of Enzymes Generated by Neural Networks
Sean R. Johnson, Xiaozhi Fu, Sandra Viknander, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 22
Nanotechnology in medicine revolutionizing drug delivery for cancer and viral infection treatments
Emina Karahmet Sher, Mirna Alebić, Marijana Marković Boras, et al.
International Journal of Pharmaceutics (2024) Vol. 660, pp. 124345-124345
Open Access | Times Cited: 9
Advancing Antibody Engineering through Synthetic Evolution and Machine Learning
Edward B. Irvine, Sai T. Reddy
The Journal of Immunology (2024) Vol. 212, Iss. 2, pp. 235-243
Closed Access | Times Cited: 7
Learning the shape of protein microenvironments with a holographic convolutional neural network
Michael N. Pun, A. Ivanov, Quinn Bellamy, et al.
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 6
Open Access | Times Cited: 7
Artificial Intelligence in battling infectious diseases: A transformative role
Chunhui Li, Guoguo Ye, Yinghan Jiang, et al.
Journal of Medical Virology (2024) Vol. 96, Iss. 1
Closed Access | Times Cited: 6
What will viruses do next? AI is helping scientists predict their evolution
Smriti Mallapaty
Nature (2025)
Closed Access
Unveiling the ghost: machine learning’s impact on the landscape of virology
Sebastian Bowyer, David J. Allen, Nicholas Furnham
Journal of General Virology (2025) Vol. 106, Iss. 1
Closed Access
A unified evolution-driven deep learning framework for virus variation driver prediction
Zhiwei Nie, Xudong Liu, Jie Chen, et al.
Nature Machine Intelligence (2025)
Closed Access
Paying attention to the SARS-CoV-2 dialect : a deep neural network approach to predicting novel protein mutations
Magdalyn E. Elkin, Xingquan Zhu
Communications Biology (2025) Vol. 8, Iss. 1
Open Access
Pathogen genomic surveillance and the AI revolution
Spyros Lytras, Kieran D. Lamb, Jumpei Ito, et al.
Journal of Virology (2025)
Open Access
AI-enabled Alkaline-resistant Evolution of Protein to Apply in Mass Production
Liqi Kang, Banghao Wu, Bingxin Zhou, et al.
(2025)
Open Access
Predicting Mutational Effects on Receptor Binding of the Spike Protein of SARS-CoV-2 Variants
Chen Bai, Junlin Wang, Geng Chen, et al.
Journal of the American Chemical Society (2021) Vol. 143, Iss. 42, pp. 17646-17654
Open Access | Times Cited: 52
Nasal prevention of SARS-CoV-2 infection by intranasal influenza-based boost vaccination in mouse models
Runhong Zhou, Pui Wang, Yik-Chun Wong, et al.
EBioMedicine (2021) Vol. 75, pp. 103762-103762
Open Access | Times Cited: 43
Genomic Surveillance of COVID-19 Variants With Language Models and Machine Learning
Sargun Nagpal, Ridam Pal, Ashima Ashima, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 33
Could artificial intelligence revolutionize the development of nanovectors for gene therapy and mRNA vaccines?
Akbar Hasanzadeh, Michael R. Hamblin, Jafar Kiani, et al.
Nano Today (2022) Vol. 47, pp. 101665-101665
Open Access | Times Cited: 30

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