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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:

A multi-task FP-GNN framework enables accurate prediction of selective PARP inhibitors
Daiqiao Ai, Jingxing Wu, Hanxuan Cai, et al.
Frontiers in Pharmacology (2022) Vol. 13
Open Access | Times Cited: 19

Showing 19 citing articles:

HiGNN: A Hierarchical Informative Graph Neural Network for Molecular Property Prediction Equipped with Feature-Wise Attention
Weimin Zhu, Yi Zhang, Duancheng Zhao, et al.
Journal of Chemical Information and Modeling (2022) Vol. 63, Iss. 1, pp. 43-55
Closed Access | Times Cited: 47
DEEPCYPs: A deep learning platform for enhanced cytochrome P450 activity prediction
Daiqiao Ai, Hanxuan Cai, Jiajia Wei, et al.
Frontiers in Pharmacology (2023) Vol. 14
Open Access | Times Cited: 28
Progress of machine learning in the application of small molecule druggability prediction
Junyao Li, Jianmei Zhang, Rui Guo, et al.
European Journal of Medicinal Chemistry (2025) Vol. 285, pp. 117269-117269
Closed Access | Times Cited: 1
DeepCancerMap: A versatile deep learning platform for target- and cell-based anticancer drug discovery
Jingxing Wu, Yi Xiao, Mujie Lin, et al.
European Journal of Medicinal Chemistry (2023) Vol. 255, pp. 115401-115401
Closed Access | Times Cited: 19
FG-BERT: a generalized and self-supervised functional group-based molecular representation learning framework for properties prediction
Biaoshun Li, Mujie Lin, Tiegen Chen, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 6
Closed Access | Times Cited: 18
MalariaFlow: A Comprehensive Deep Learning Platform for Multistage Phenotypic Antimalarial Drug Discovery
Mujie Lin, Junxi Cai, Yuancheng Wei, et al.
European Journal of Medicinal Chemistry (2024) Vol. 277, pp. 116776-116776
Closed Access | Times Cited: 4
Discovery and Characterization of Novel Receptor-Interacting Protein Kinase 1 Inhibitors Using Deep Learning and Virtual Screening
Bo Liu, Likun Zhao, Ying Tan, et al.
ACS Chemical Neuroscience (2025)
Closed Access
Improved QSAR models for PARP-1 inhibition using data balancing, interpretable machine learning, and matched molecular pair analysis
Anish Gomatam, Bhakti Umesh Hirlekar, Krishan Dev Singh, et al.
Molecular Diversity (2024) Vol. 28, Iss. 4, pp. 2135-2152
Closed Access | Times Cited: 2
Molecular sharing and molecular-specific representations for multimodal molecular property prediction
Xuecong Tian, Sizhe Zhang, Ying Su, et al.
Applied Soft Computing (2024) Vol. 163, pp. 111898-111898
Closed Access | Times Cited: 2
Prediction of Cytochrome P450 Substrates Using the Explainable Multitask Deep Learning Models
Jiaojiao Fang, Yan Tang, Changda Gong, et al.
Chemical Research in Toxicology (2024) Vol. 37, Iss. 9, pp. 1535-1548
Closed Access | Times Cited: 2
GraphEGFR: Multi‐task and transfer learning based on molecular graph attention mechanism and fingerprints improving inhibitor bioactivity prediction for EGFR family proteins on data scarcity
Bundit Boonyarit, Nattawin Yamprasert, Pawit Kaewnuratchadasorn, et al.
Journal of Computational Chemistry (2024) Vol. 45, Iss. 23, pp. 2001-2023
Closed Access | Times Cited: 1
A multitask interpretable model with graph attention mechanism for activity prediction of low-data PIM inhibitors
Zixiao Wang, Lili Sun, Chang Yu, et al.
Molecular Diversity (2024)
Closed Access | Times Cited: 1
MuMCyp_Net: A multimodal neural network for the prediction of Cyp450 inhibition
Soualihou Ngnamsie Njimbouom, Jeong‐Dong Kim
Expert Systems with Applications (2024) Vol. 255, pp. 124703-124703
Open Access | Times Cited: 1
VDDB: A comprehensive resource and machine learning tool for antiviral drug discovery
Shunming Tao, Yihao Chen, Jingxing Wu, et al.
MedComm – Future Medicine (2023) Vol. 2, Iss. 1
Open Access | Times Cited: 2
Meta Learning with Attention Based FP-GNNs for Few-Shot Molecular Property Prediction
Xiaoliang Qian, Bin Ju, Ping Shen, et al.
ACS Omega (2024) Vol. 9, Iss. 22, pp. 23940-23948
Open Access
Highly Accurate and Explainable Predictions of Small-Molecule Antioxidants for Eight In Vitro Assays Simultaneously through an Alternating Multitask Learning Strategy
Duancheng Zhao, Yanhong Zhang, Yihao Chen, et al.
Journal of Chemical Information and Modeling (2024)
Closed Access
3MTox: A motif-level graph-based multi-view chemical language model for toxicity identification with deep interpretation
Yingying Zhu, Yanhong Zhang, Xinze Li, et al.
Journal of Hazardous Materials (2024) Vol. 476, pp. 135114-135114
Closed Access
MVGNet: Prediction of PI3K Inhibitors Using Multitask Learning and Multiview Frameworks
Yanlei Kang, Qiwei Xia, Yunliang Jiang, et al.
ACS Omega (2024) Vol. 9, Iss. 45, pp. 45159-45168
Open Access
Supporting medical decision-making using machine learning
Richard Wainwright
(2023)
Open Access
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