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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:

Molecular substructure tree generative model for de novo drug design
Shuang Wang, Tao Song, Shugang Zhang, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 2
Closed Access | Times Cited: 19

Showing 19 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: 120
SDNN-PPI: self-attention with deep neural network effect on protein-protein interaction prediction
Xue Li, Peifu Han, Wang Gan, et al.
BMC Genomics (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 53
Sequence-based drug-target affinity prediction using weighted graph neural networks
Mingjian Jiang, Shuang Wang, Shugang Zhang, et al.
BMC Genomics (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 38
MARPPI: boosting prediction of protein–protein interactions with multi-scale architecture residual network
Xue Li, Peifu Han, Wenqi Chen, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Closed Access | Times Cited: 36
Transformer-Based Molecular Generative Model for Antiviral Drug Design
Jiashun Mao, Jianmin Wang, Amir Zeb, et al.
Journal of Chemical Information and Modeling (2023) Vol. 64, Iss. 7, pp. 2733-2745
Open Access | Times Cited: 31
Deep Generative Models in De Novo Drug Molecule Generation
Chao Pang, Jianbo Qiao, Xiangxiang Zeng, et al.
Journal of Chemical Information and Modeling (2023) Vol. 64, Iss. 7, pp. 2174-2194
Closed Access | Times Cited: 25
Adversarial regularize graph variational autoencoder based on encoder optimization strategy
Jin Dai, Yanhui Peng, Guoyin Wang, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 3
Open Access
ChemSpaceAL: An Efficient Active Learning Methodology Applied to Protein-Specific Molecular Generation
Gregory W. Kyro, Anton Morgunov, Rafael I. Brent, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 3, pp. 653-665
Open Access | Times Cited: 6
CardioGenAI: a machine learning-based framework for re-engineering drugs for reduced hERG liability
Gregory W. Kyro, Matthew T. Martin, Eric D. Watt, et al.
Journal of Cheminformatics (2025) Vol. 17, Iss. 1
Open Access
Geometric deep learning methods and applications in 3D structure-based drug design
Qifeng Bai, Tingyang Xu, Junzhou Huang, et al.
Drug Discovery Today (2024) Vol. 29, Iss. 7, pp. 104024-104024
Closed Access | Times Cited: 4
CardioGenAI: A Machine Learning-Based Framework for Re-Engineering Drugs for Reduced hERG Liability
Gregory W. Kyro, Matthew T. Martin, Eric D. Watt, et al.
Research Square (Research Square) (2024)
Closed Access | Times Cited: 3
Tracing unknown tumor origins with a biological-pathway-based transformer model
Jiajing Xie, Ying Chen, Shijie Luo, et al.
Cell Reports Methods (2024) Vol. 4, Iss. 6, pp. 100797-100797
Open Access | Times Cited: 2
TransCluster: A Cell-Type Identification Method for single-cell RNA-Seq data using deep learning based on transformer
Tao Song, Huanhuan Dai, Shuang Wang, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 11
Accurate Protein-Ligand Complex Structure Prediction using Geometric Deep Learning
Junfeng Zhang, Kelei He, Tiejun Dong, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 8
DCSE:Double-Channel-Siamese-Ensemble model for protein protein interaction prediction
Wenqi Chen, Shuang Wang, Tao Song, et al.
BMC Genomics (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 8
Exploring the effects of drug, disease, and protein dependencies on biomedical named entity recognition: A comparative analysis
Peifu Han, Xue Li, Xun Wang, et al.
Frontiers in Pharmacology (2022) Vol. 13
Open Access | Times Cited: 8
SDNN-PPI: Self-attention with deep neural networks effect on protein-protein interaction prediction
Xue Li, Peifu Han, Wang Gan, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 5
Adaptive space search-based molecular evolution optimization algorithm
Fei Wang, Xianglong Cheng, Xin Xia, et al.
Bioinformatics (2024) Vol. 40, Iss. 7
Open Access
PathMethy: an interpretable AI framework for cancer origin tracing based on DNA methylation
Jiajing Xie, Yu-Hang Song, Hailong Zheng, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Open Access
Spatio-Temporal Correlation Augmented Model for Traffic Flow Prediction in Urban Areas
Yue Wang, Ming Chen, Aite Zhao
(2022), pp. 48-53
Closed Access | Times Cited: 1
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