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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:

Deep-learning-enabled protein–protein interaction analysis for prediction of SARS-CoV-2 infectivity and variant evolution
Guangyu Wang, Xiaohong Liu, Kai Wang, et al.
Nature Medicine (2023) Vol. 29, Iss. 8, pp. 2007-2018
Closed Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

RSPSSL: A novel high-fidelity Raman spectral preprocessing scheme to enhance biomedical applications and chemical resolution visualization
Jiaqi Hu, Jinna Chen, Chenlong Xue, et al.
Light Science & Applications (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 17
Accurate estimation of biological age and its application in disease prediction using a multimodal image Transformer system
Jinzhuo Wang, Yuanxu Gao, Fangfei Wang, et al.
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 3
Open Access | Times Cited: 7
Single-cell spatiotemporal analysis reveals alveolar dendritic cell–T cell immunity hubs defending against pulmonary infection
Boyi Cong, Xuan Dong, Zongheng Yang, et al.
Cell Discovery (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 6
A review of deep learning for brain tumor analysis in MRI
Felix J. Dorfner, Jay Patel, Jayashree Kalpathy-Cramer, et al.
npj Precision Oncology (2025) Vol. 9, Iss. 1
Open 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
Computational analysis of virus-host protein-protein interactions using gene ontology and natural language processing
Pınar Cihan, Zeynep Banu Özger, Zeynep ÇAKABAY
Applied Intelligence (2025) Vol. 55, Iss. 6
Open Access
Compositional features analysis by machine learning in genome represents linear adaptation of monkeypox virus
Sen Zhang, Yadan Li, Yurong Cai, et al.
Frontiers in Genetics (2024) Vol. 15
Open Access | Times Cited: 3
Reconciling privacy and accuracy in AI for medical imaging
Alexander Ziller, Tamara T. Mueller, Simon Stieger, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 7, pp. 764-774
Open Access | Times Cited: 3
DDAffinity: predicting the changes in binding affinity of multiple point mutations using protein 3D structure
Guanglei Yu, Qichang Zhao, Xuehua Bi, et al.
Bioinformatics (2024) Vol. 40, Iss. Supplement_1, pp. i418-i427
Open Access | Times Cited: 2
Current Trend and Performance Evaluation of Machine Learning Methods for Predicting Host-Pathogen Protein-Protein Interactions
Jerry Emmanuel, Itunuoluwa Isewon, Grace I. Olasehinde, et al.
(2024), pp. 1-14
Closed Access | Times Cited: 1
PandoGen: Generating complete instances of future SARS-CoV-2 sequences using Deep Learning
A. Ramachandran, Steven S. Lumetta, Deming Chen
PLoS Computational Biology (2024) Vol. 20, Iss. 1, pp. e1011790-e1011790
Open Access | Times Cited: 1
The Millennia-Long Development of Drugs Associated with the 80-Year-Old Artificial Intelligence Story: The Therapeutic Big Bang?
Aurore Crouzet, Nicolas G. Lopez, Benjamin Riss Yaw, et al.
Molecules (2024) Vol. 29, Iss. 12, pp. 2716-2716
Open Access | Times Cited: 1
Significance of Artificial Intelligence in the Study of Virus–Host Cell Interactions
James Elste, Akash Saini, Rafael Mejía-Alvarez, et al.
Biomolecules (2024) Vol. 14, Iss. 8, pp. 911-911
Open Access | Times Cited: 1
Benchmark Investigation of SARS-CoV-2 Mutants’ Immune Escape with 2B04 Murine Antibody: A Step Towards Unraveling a Larger Picture
Каріна Капуста, Allyson McGowan, Santanu Banerjee, et al.
Current Issues in Molecular Biology (2024) Vol. 46, Iss. 11, pp. 12550-12573
Open 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
Fedpc: An Efficient Prototype-Based Clustered Federated Learning on Medical Imaging
Tianrun Gao, Keyan Liu, Yuning Yang, et al.
(2024)
Closed Access
A benchmark for evaluation of structure-based online tools for antibody-antigen binding affinity
Xu Jiayi, Jianting Gong, Xiaochen Bo, et al.
Biophysical Chemistry (2024) Vol. 311, pp. 107253-107253
Closed Access
Distinct SARS-CoV-2 populational immune backgrounds tolerate divergent RBD evolutionary preferences
Wentai Ma, Haoyi Fu, Fanchong Jian, et al.
National Science Review (2024) Vol. 11, Iss. 7
Open Access
Residual Life Prediction of Rotating Machinery Guided by Quantum Deep Neural Network
Ganghong Ye, Ningxuan Shi
Scalable Computing Practice and Experience (2024) Vol. 25, Iss. 4, pp. 2183-2189
Open Access
深度学习在生物医学领域中的应用简介
Ruisong WANG, Shengnan WANG, Tieliu SHI
Scientia Sinica Vitae (2024)
Closed Access
Rapid and sensitive detection of SARS-CoV-2 based on a phage-displayed scFv antibody fusion with alkaline phosphatase and NanoLuc luciferase
Yuxue Yan, Guofu Shang, Jiling Xie, et al.
Analytica Chimica Acta (2024) Vol. 1322, pp. 343057-343057
Closed Access
Federated Task-Adaptive Learning for Personalized Selection of Human IVF-derived Embryos
Guangyu Wang, Tianrun Gao, Yuning Yang, et al.
Research Square (Research Square) (2024)
Closed Access
Leveraging neural networks to correct FoldX free energy estimates
Jonathan E. Barnes, L. América, F. Marty Ytreberg, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Revolutionizing Molecular Design for Innovative Therapeutic Applications through Artificial Intelligence
Ahrum Son, Jongham Park, Woojin Kim, et al.
Molecules (2024) Vol. 29, Iss. 19, pp. 4626-4626
Open Access
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