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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:

Multitype drug interaction prediction based on the deep fusion of drug features and topological relationships
Liping Kang, Kai-Biao Lin, Ping Lu, et al.
PLoS ONE (2022) Vol. 17, Iss. 8, pp. e0273764-e0273764
Open Access | Times Cited: 12

Showing 12 citing articles:

Application of Artificial Intelligence in Drug–Drug Interactions Prediction: A Review
Yuanyuan Zhang, Zengqian Deng, Xiaoyu Xu, et al.
Journal of Chemical Information and Modeling (2023) Vol. 64, Iss. 7, pp. 2158-2173
Closed Access | Times Cited: 34
Application of machine learning in drug side effect prediction: databases, methods, and challenges
Haochen Zhao, Jian Zhong, Xiao Liang, et al.
Frontiers of Computer Science (2024) Vol. 19, Iss. 5
Open Access | Times Cited: 7
DMFDDI: deep multimodal fusion for drug–drug interaction prediction
Yanglan Gan, Wenxiao Liu, Guangwei Xu, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 6
Closed Access | Times Cited: 13
Asymmetric drug interaction prediction via multi-scale fusion of directed topological relationships and drug features
Kai-Biao Lin, Fengxin Huang, Songming Zhuo, et al.
Computational Biology and Chemistry (2025) Vol. 118, pp. 108491-108491
Closed Access
Predicting drug-drug adverse reactions via multi-view graph contrastive representation model
Luhe Zhuang, Hong Wang, Meifang Hua, et al.
Applied Intelligence (2023) Vol. 53, Iss. 14, pp. 17411-17428
Closed Access | Times Cited: 8
MAVGAE: a multimodal framework for predicting asymmetric drug–drug interactions based on variational graph autoencoder
Zengqian Deng, Jie Xu, Yinfei Feng, et al.
Computer Methods in Biomechanics & Biomedical Engineering (2024), pp. 1-13
Closed Access | Times Cited: 3
MASMDDI: multi-layer adaptive soft-mask graph neural network for drug-drug interaction prediction
Junpeng Lin, Binsheng Hong, Zhongqi Cai, et al.
Frontiers in Pharmacology (2024) Vol. 15
Open Access | Times Cited: 3
Biochemical reaction network topology defines dose-dependent Drug–Drug interactions
Mehrad Babaei, Tom M.J. Evers, Fereshteh Shokri, et al.
Computers in Biology and Medicine (2023) Vol. 155, pp. 106584-106584
Open Access | Times Cited: 7
Adaptive dual graph contrastive learning based on heterogeneous signed network for predicting adverse drug reaction
Luhe Zhuang, Hong Wang, Jun Zhao, et al.
Information Sciences (2023) Vol. 642, pp. 119139-119139
Open Access | Times Cited: 7
MFDA: Multiview fusion based on dual-level attention for drug interaction prediction
Kai-Biao Lin, Liping Kang, Fan Yang, et al.
Frontiers in Pharmacology (2022) Vol. 13
Open Access | Times Cited: 7
Prediction of multiple types of drug interactions based on multi-scale fusion and dual-view fusion
Dawei Pan, Ping Lu, Yunbing Wu, et al.
Frontiers in Pharmacology (2024) Vol. 15
Open Access | Times Cited: 1
MTrans: M-Transformer and Knowledge Graph-Based Network for Predicting Drug–Drug Interactions
Shiqi Wu, Baisong Liu, Xueyuan Zhang, et al.
Electronics (2024) Vol. 13, Iss. 15, pp. 2935-2935
Open Access | Times Cited: 1
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