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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:

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

Showing 1-25 of 31 citing articles:

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
Leveraging Artificial Intelligence to Expedite Antibody Design and Enhance Antibody–Antigen Interactions
Doo Nam Kim, Andrew McNaughton, Neeraj Kumar
Bioengineering (2024) Vol. 11, Iss. 2, pp. 185-185
Open Access | Times Cited: 7
De novo generation of SARS-CoV-2 antibody CDRH3 with a pre-trained generative large language model
Haohuai He, Bing He, Lei Guan, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 7
Inferring effects of mutations on SARS-CoV-2 transmission from genomic surveillance data
Brian Lee, Ahmed Abdul Quadeer, Muhammad S. Sohail, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
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
Early Evolution of BA.2.86 Sheds Light on the Origins of Highly Divergent SARS-CoV-2 Lineages
Marina Escalera‐Zamudio, Cedric C.S. Tan, Lucy van Dorp, et al.
Research Square (Research Square) (2025)
Closed Access
Biophysical principles predict fitness of SARS-CoV-2 variants
D. I. C. Wang, Marian Huot, Vaibhav Mohanty, et al.
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 23
Open Access | Times Cited: 5
A Protein Language Model for Exploring Viral Fitness Landscapes
Jumpei Ito, Adam Strange, Wei Liu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 4
Fast-Track Discovery of SARS-CoV-2-Neutralizing Antibodies from Human B Cells by Direct Functional Screening
Matthias Hillenbrand, Christoph Esslinger, Jemima Seidenberg, et al.
Viruses (2024) Vol. 16, Iss. 3, pp. 339-339
Open Access | Times Cited: 3
PEL-PVP: Application of plant vacuolar protein discriminator based on PEFT ESM-2 and bilayer LSTM in an unbalanced dataset
Cuilin Xiao, Zheyu Zhou, Jiayi She, et al.
International Journal of Biological Macromolecules (2024) Vol. 277, pp. 134317-134317
Closed Access | Times Cited: 2
SARS‐CoV‐2 Evolution: Immune Dynamics, Omicron Specificity, and Predictive Modeling in Vaccinated Populations
Xiaohan Zhang, Mansheng Li, Nana Zhang, et al.
Advanced Science (2024) Vol. 11, Iss. 40
Open Access | Times Cited: 2
Predicting the immune escape of SARS-CoV-2 neutralizing antibodies upon mutation
Divya Sharma, Puneet Rawat, Victor Greiff, et al.
Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (2023) Vol. 1870, Iss. 2, pp. 166959-166959
Open Access | Times Cited: 6
Forecasting SARS-CoV-2 spike protein evolution from small data by deep learning and regression
S. B. King, Xinyi E. Chen, Sarah W.S. Ng, et al.
Frontiers in Systems Biology (2024) Vol. 4
Open Access | Times Cited: 1
Mutation prediction in the SARS-CoV-2 genome using attention-based neural machine translation
Darrak Moin Quddusi, Sandesh Athni Hiremath, Naim Bajçinca
Mathematical Biosciences & Engineering (2024) Vol. 21, Iss. 5, pp. 5996-6018
Open Access | Times Cited: 1
The mutational landscape of SARS-CoV-2 provides new insight into viral evolution and fitness
Jean-François Goût, Jori Symons, Claire Chung, et al.
Research Square (Research Square) (2024)
Closed Access | Times Cited: 1
The Implications of Artificial Intelligence on Infection Prevention and Control: Current Progress and Future Perspectives
Lin Yang, Shuya Lu, Lei Zhou
Deleted Journal (2024) Vol. 5, Iss. 35, pp. 901-904
Closed Access | Times Cited: 1
Deep learning-guided selection of antibody therapies with enhanced resistance to current and prospective SARS-CoV-2 Omicron variants
Lester Frei, Beichen Gao, Jiami Han, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 4
UniBind: a novel artificial intelligence-based prediction model for SARS-CoV-2 infectivity and variant evolution
Qihong Yan, Jincun Zhao
Signal Transduction and Targeted Therapy (2023) Vol. 8, Iss. 1
Open Access | Times Cited: 3
A Computational Workflow to Predict Biological Target Mutations: The Spike Glycoprotein Case Study
Pietro Cozzini, Federica Agosta, Greta Dolcetti, et al.
Molecules (2023) Vol. 28, Iss. 20, pp. 7082-7082
Open Access | Times Cited: 2
Gaussian-Based Dilated 1-D CNN for Classifying B-Cell Epitopes in Zika and Dengue Protein Sequences
Jyoti Yogesh Deshmukh
Deleted Journal (2024) Vol. 20, Iss. 1s, pp. 862-874
Open Access
Understanding the Molecular Actions of Spike Glycoprotein in SARS-CoV-2 and Issues of a Novel Therapeutic Strategy for the COVID-19 Vaccine
Yasunari Matsuzaka, Ryu Yashiro
BioMedInformatics (2024) Vol. 4, Iss. 2, pp. 1531-1555
Open Access
Computational Analysis of the accumulation of mutations in therapeutically important RNA viral proteins during pandemics with special emphasis on SARS-CoV-2
Abhishek Sharma, C R Chandrashekar, Sudhir Krishna, et al.
Journal of Molecular Biology (2024) Vol. 436, Iss. 19, pp. 168716-168716
Closed Access
AI-guided few-shot inverse design of HDP-mimicking polymers against drug-resistant bacteria
Tianyu Wu, Min Zhou, Jingcheng Zou, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access
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