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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:

Multiphysical graph neural network (MP-GNN) for COVID-19 drug design
Xiaoshuang Li, Xiang Liu, Le Lü, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 4
Closed Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Deep learning methods for molecular representation and property prediction
Zhen Li, Mingjian Jiang, Shuang Wang, et al.
Drug Discovery Today (2022) Vol. 27, Iss. 12, pp. 103373-103373
Closed Access | Times Cited: 128
A Systematic Review of Graph Neural Network in Healthcare-Based Applications: Recent Advances, Trends, and Future Directions
Showmick Guha Paul, Arpa Saha, Md. Zahid Hasan, et al.
IEEE Access (2024) Vol. 12, pp. 15145-15170
Open Access | Times Cited: 17
Predicting drug–target binding affinity through molecule representation block based on multi-head attention and skip connection
Li Zhang, Chun-Chun Wang, Xing Chen
Briefings in Bioinformatics (2022) Vol. 23, Iss. 6
Closed Access | Times Cited: 66
Navigating with chemometrics and machine learning in chemistry
Payal B. Joshi
Artificial Intelligence Review (2023) Vol. 56, Iss. 9, pp. 9089-9114
Open Access | Times Cited: 23
T-ALPHA: A Hierarchical Transformer-Based Deep Neural Network for Protein–Ligand Binding Affinity Prediction with Uncertainty-Aware Self-Learning for Protein-Specific Alignment
Gregory W. Kyro, Anthony M. Smaldone, Yu Shee, et al.
Journal of Chemical Information and Modeling (2025)
Open Access | Times Cited: 1
SS-GNN: A Simple-Structured Graph Neural Network for Affinity Prediction
Shuke Zhang, Yanzhao Jin, Tianmeng Liu, et al.
ACS Omega (2023) Vol. 8, Iss. 25, pp. 22496-22507
Open Access | Times Cited: 18
Identifying Candidate Gene–Disease Associations via Graph Neural Networks
Pietro Cinaglia, Mario Cannataro
Entropy (2023) Vol. 25, Iss. 6, pp. 909-909
Open Access | Times Cited: 17
Modern machine‐learning for binding affinity estimation of protein–ligand complexes: Progress, opportunities, and challenges
Tobias Harren, Torben Gutermuth, Christoph Grebner, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2024) Vol. 14, Iss. 3
Closed Access | Times Cited: 6
Data-balanced transformer for accelerated ionizable lipid nanoparticles screening in mRNA delivery
Kun Wu, Xiulong Yang, Zixu Wang, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 5
MGATAF: multi-channel graph attention network with adaptive fusion for cancer-drug response prediction
Dhekra Saeed, Huanlai Xing, Barakat AlBadani, et al.
BMC Bioinformatics (2025) Vol. 26, Iss. 1
Open Access
LM-PROTAC: a language model-driven PROTAC generation pipeline with dual constraints of structure and property
Li Wang, Jinsong Shao, Qiang Gong, et al.
Research Square (Research Square) (2025)
Closed Access
Hyperparameter optimization and neural architecture search algorithms for graph Neural Networks in cheminformatics
Ali Ebadi, Manpreet Kaur, Qian Liu
Computational Materials Science (2025) Vol. 254, pp. 113904-113904
Open Access
Structure mode shapes classification using graph convolutional networks in automotive application
Sitthichart Tohmuang, Mohammad Fard, Pier Marzocca, et al.
Computers & Structures (2025) Vol. 314, pp. 107767-107767
Open Access
Enhancing robust node classification via information competition: An improved adversarial resilience method for graph attacks
Yong Yi Huang, Yao Yang, Qiao Han, et al.
Applied Intelligence (2025) Vol. 55, Iss. 7
Closed Access
Identification of D- and L-phenylalanine enantiomeric mixtures by employing deep neural network models
Ebru Nigdelioglu, Elif Toprak, Melike Güney, et al.
Journal of Molecular Structure (2024) Vol. 1304, pp. 137628-137628
Closed Access | Times Cited: 2
Optimal decision-making in relieving global high temperature-related disease burden by data-driven simulation
Xinchen Li, Haoran Qian, Yanyan Zhang, et al.
Infectious Disease Modelling (2024) Vol. 9, Iss. 2, pp. 618-633
Open Access | Times Cited: 2
Molecular Mechanism of the Non-Covalent Orally Targeted SARS-CoV-2 Mpro Inhibitor S-217622 and Computational Assessment of Its Effectiveness against Mainstream Variants
Danyang Xiong, Xiaoyu Zhao, Song Luo, et al.
The Journal of Physical Chemistry Letters (2022) Vol. 13, Iss. 38, pp. 8893-8901
Closed Access | Times Cited: 10
The Millennia-Long Development of Drugs Associated with the 80-Year-Old Artificial Intelligence Story: The Therapeutic Big Bang?
Aurore Crouzet, Nicolás López, Benjamin Riss Yaw, et al.
Molecules (2024) Vol. 29, Iss. 12, pp. 2716-2716
Open Access | Times Cited: 1
3D-Mol: A Novel Contrastive Learning Framework for Molecular Property Prediction with 3D Information
Taojie Kuang, Yiming Ren, Zhixiang Ren
Pattern Analysis and Applications (2024) Vol. 27, Iss. 3
Closed Access | Times Cited: 1
Graph pooling in graph neural networks: methods and their applications in omics studies
Yan Wang, Wenju Hou, Nan Sheng, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 11
Open Access | Times Cited: 1
MORE: a multi-omics data-driven hypergraph integration network for biomedical data classification and biomarker identification
Yuhan Wang, Zhikang Wang, Xuan Yu, et al.
Briefings in Bioinformatics (2024) Vol. 26, Iss. 1
Open Access | Times Cited: 1
iEssLnc: quantitative estimation of lncRNA gene essentialities with meta-path-guided random walks on the lncRNA-protein interaction network
Yingying Zhang, De-Min Liang, Pu-Feng Du
Briefings in Bioinformatics (2023) Vol. 24, Iss. 3
Closed Access | Times Cited: 3
EMPPNet: Enhancing Molecular Property Prediction via Cross-modal Information Flow and Hierarchical Attention
Zixi Zheng, Hong Wang, Yanyan Tan, et al.
Expert Systems with Applications (2023) Vol. 234, pp. 121016-121016
Closed Access | Times Cited: 3
Structure-Aware Graph Attention Diffusion Network for Protein–Ligand Binding Affinity Prediction
Li Mei, Ye Cao, Xiaoguang Liu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 12, pp. 18370-18380
Closed Access | Times Cited: 3
Ligand binding affinity prediction with fusion of graph neural networks and 3D structure-based complex graph
Lina Dong, Shuai Shi, Xiaoyang Qu, et al.
Physical Chemistry Chemical Physics (2023) Vol. 25, Iss. 35, pp. 24110-24120
Closed Access | Times Cited: 2
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