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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:

Early Computational Detection of Potential High Risk SARS-CoV-2 Variants
Karim Beguir, Marcin J. Skwark, Yunguan Fu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 15

Showing 15 citing articles:

Evolutionary-scale prediction of atomic level protein structure with a language model
Zeming Lin, Halil Akin, Roshan Rao, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 257
The Impact of Evolving SARS-CoV-2 Mutations and Variants on COVID-19 Vaccines
Gary R. McLean, Jeremy P. Kamil, Benhur Lee, et al.
mBio (2022) Vol. 13, Iss. 2
Open Access | Times Cited: 178
The Evolution and Biology of SARS-CoV-2 Variants
Amalio Telenti, Emma B. Hodcroft, David L. Robertson
Cold Spring Harbor Perspectives in Medicine (2022) Vol. 12, Iss. 5, pp. a041390-a041390
Open Access | Times Cited: 158
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: 35
GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics
Maxim Zvyagin, Alexander Brace, Kyle Hippe, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 27
Progressive loss of conserved spike protein neutralizing antibody sites in Omicron sublineages is balanced by preserved T-cell recognition epitopes
Alexander Muik, Bonny Gaby Lui, Huitian Diao, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 11
Mapping Data to Deep Understanding: Making the Most of the Deluge of SARS-CoV-2 Genome Sequences
Bahrad A. Sokhansanj, Gail Rosen
mSystems (2022) Vol. 7, Iss. 2
Open Access | Times Cited: 8
Machine learning detection of SARS-CoV-2 high-risk variants
Lun Li, Cuiping Li, Na Li, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 4
Interpretable and Predictive Deep Neural Network Modeling of the SARS-CoV-2 Spike Protein Sequence to Predict COVID-19 Disease Severity
Bahrad A. Sokhansanj, Zhengqiao Zhao, Gail Rosen
Biology (2022) Vol. 11, Iss. 12, pp. 1786-1786
Open Access | Times Cited: 7
A scalable pipeline for SARS-CoV-2 replicon construction based on de-novo synthesis
Ahmet C. Berkyurek, Elian Lee, Omer Weissbrod, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 3
Artificial intelligence: State of the art and potential for advancing healthcare
Amandeep S. Gill, Mehdi Snène
Elsevier eBooks (2024), pp. 229-235
Closed Access
Sustainable Artificial Intelligence: In Search of Technological Resilience
Norbert Jastroch
IFIP advances in information and communication technology (2023), pp. 317-326
Closed Access | Times Cited: 1
Predicting the antigenic evolution of SARS-COV-2 with deep learning
Wenkai Han, Ningning Chen, Xinzhou Xu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 2
Building a Resilient Scientific Network for COVID-19 and Beyond
N. Esther Babady, Rachel M. Burckhardt, Florian Krammer, et al.
mBio (2022) Vol. 13, Iss. 5
Open Access | Times Cited: 2
Co-evolution integrated deep learning framework for variants generation and fitness prediction
Xiaoqin Tan
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
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