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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:

Comprehensive evaluation of deep and graph learning on drug–drug interactions prediction
Xuan Lin, Lihua Dai, Yafang Zhou, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Open Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

BioLORD-2023: semantic textual representations fusing large language models and clinical knowledge graph insights
François Remy, Kris Demuynck, Thomas Demeester
Journal of the American Medical Informatics Association (2024) Vol. 31, Iss. 9, pp. 1844-1855
Open Access | Times Cited: 18
Artificial Intelligence Models and Tools for the Assessment of Drug–Herb Interactions
Marios Spanakis, Eleftheria Tzamali, Georgios Tzedakis, et al.
Pharmaceuticals (2025) Vol. 18, Iss. 3, pp. 282-282
Open Access | Times Cited: 2
Drug-drug interactions prediction based on deep learning and knowledge graph: A review
Huimin Luo, Weijie Yin, Jianlin Wang, et al.
iScience (2024) Vol. 27, Iss. 3, pp. 109148-109148
Open Access | Times Cited: 14
A Multi-View Feature-Based Interpretable Deep Learning Framework for Drug-Drug Interaction Prediction
Zihui Cheng, Zhaojing Wang, Xianfang Tang, et al.
Interdisciplinary Sciences Computational Life Sciences (2025)
Closed Access | Times Cited: 1
Drug–drug interaction prediction: databases, web servers and computational models
Yan Zhao, Jun Yin, Li Zhang, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 18
Neuromorphic computing for modeling neurological and psychiatric disorders: implications for drug development
Amisha S. Raikar, J.H. Andrew, Pranjali Prabhu Dessai, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 12
Open Access | Times Cited: 7
Predicting Drug-drug Interaction with Graph Mutual Interaction Attention Mechanism
Xiaoying Yan, C. Charles Gu, Jian Feng, et al.
Methods (2024) Vol. 223, pp. 16-25
Closed Access | Times Cited: 6
Toward structure–multiple activity relationships (SMARts) using computational approaches: A polypharmacological perspective
Edgar López‐López, José L. Medina‐Franco
Drug Discovery Today (2024) Vol. 29, Iss. 7, pp. 104046-104046
Closed Access | Times Cited: 6
DAS-DDI: A dual-view framework with drug association and drug structure for drug–drug interaction prediction
Dongjiang Niu, Lianwei Zhang, Beiyi Zhang, et al.
Journal of Biomedical Informatics (2024) Vol. 156, pp. 104672-104672
Closed Access | Times Cited: 6
Finding potential lncRNA–disease associations using a boosting-based ensemble learning model
Liqian Zhou, Xinhuai Peng, Lijun Zeng, et al.
Frontiers in Genetics (2024) Vol. 15
Open Access | Times Cited: 5
PEB-DDI: A Task-Specific Dual-View Substructural Learning Framework for Drug–Drug Interaction Prediction
Xiangzhen Shen, Zimeng Li, Yuansheng Liu, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 1, pp. 569-579
Closed Access | Times Cited: 12
SubGE-DDI: A new prediction model for drug-drug interaction established through biomedical texts and drug-pairs knowledge subgraph enhancement
Yiyang Shi, Mingxiu He, Junheng Chen, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 4, pp. e1011989-e1011989
Open Access | Times Cited: 4
The future of bone regeneration: Artificial intelligence in biomaterials discovery
Jinfei Fan, Jiazhen Xu, Xiaobo Wen, et al.
Materials Today Communications (2024) Vol. 40, pp. 109982-109982
Closed Access | Times Cited: 4
Learning to Denoise Biomedical Knowledge Graph for Robust Molecular Interaction Prediction
Tengfei Ma, Yujie Chen, Tao Wen, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 12, pp. 8682-8694
Closed Access | Times Cited: 4
DrugDAGT: a dual-attention graph transformer with contrastive learning improves drug-drug interaction prediction
Yaojia Chen, Jiacheng Wang, Quan Zou, et al.
BMC Biology (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 4
Identify drug-drug interactions via deep learning:a real world study
Jingyang Li, Yanpeng Zhao, Zhenting Wang, et al.
Journal of Pharmaceutical Analysis (2025), pp. 101194-101194
Open Access
The Recurrent Neural Networks: Algorithm Driven Alchemy of Machine Learning into Precision Therapeutics for Today and Tomorrow
H. M. Srivastava, Monika Leel, Priya Singh, et al.
SSRN Electronic Journal (2025)
Closed Access
HDN-DDI: a novel framework for predicting drug-drug interactions using hierarchical molecular graphs and enhanced dual-view representation learning
Jinhua Sun, Haoran Zheng
BMC Bioinformatics (2025) Vol. 26, Iss. 1
Open Access
A guide for active learning in synergistic drug discovery
Shuhui Wang, Alexandre Allauzen, Philippe Nghe, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A comprehensive review of deep learning-based approaches for drug–drug interaction prediction
Ying Xia, An Xiong, Zilong Zhang, et al.
Briefings in Functional Genomics (2025) Vol. 24
Open Access
Investigating the Impact of Antibiotics on Environmental Microbiota Through Machine Learning Models
Yi-Heng Du, Khandaker Asif Ahmed, Md Rakibul Hasan, et al.
IET Systems Biology (2025) Vol. 19, Iss. 1
Open Access
Revolutionizing Bone Repair and Regeneration: The Role of Machine Learning in Designing Advanced Nanocomposite Hydrogels
Ashkan Farazin, Amirhossein Gheisizadeh
Polymers for Advanced Technologies (2025) Vol. 36, Iss. 4
Closed Access
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
DMGL-MDA: A dual-modal graph learning method for microbe-drug association prediction
Bei Zhu, Haoyang Yu, Bing-Xue Du, et al.
Methods (2024) Vol. 222, pp. 51-56
Closed Access | Times Cited: 2
MathEagle: Accurate prediction of drug-drug interaction events via multi-head attention and heterogeneous attribute graph learning
Lin-Xuan Hou, Hai-Cheng Yi, Zhu‐Hong You, et al.
Computers in Biology and Medicine (2024) Vol. 177, pp. 108642-108642
Closed Access | Times Cited: 2
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