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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:

MecDDI: Clarified Drug–Drug Interaction Mechanism Facilitating Rational Drug Use and Potential Drug–Drug Interaction Prediction
Wei Hu, Wei Zhang, Ying Zhou, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 5, pp. 1626-1636
Closed Access | Times Cited: 11

Showing 11 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: 31
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
Evaluating Machine Learning Methods of Analyzing Multiclass Metabolomics
Yaguo Gong, Wei Ding, Panpan Wang, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 24, pp. 7628-7641
Closed Access | Times Cited: 10
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: 3
A dual-modality complex-valued fusion method for predicting side effects of drug-drug interactions based on graph neural network
Chuanze Kang, Han Zhang, Yanbin Yin
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 10, pp. 6212-6224
Closed Access | Times Cited: 2
The role of solute polarizability and microenvironment in the spectroscopic behaviour of the local anesthetic drug - bupivacaine
Marta Miotke-Wasilczyk, Marek Józefowicz
Journal of Molecular Structure (2024) Vol. 1316, pp. 139052-139052
Open Access | Times Cited: 1
Pharmacokinetics–Pharmacodynamics Modeling for Evaluating Drug–Drug Interactions in Polypharmacy: Development and Challenges
Di Zhao, Ping Huang, Li Yu, et al.
Clinical Pharmacokinetics (2024) Vol. 63, Iss. 7, pp. 919-944
Closed Access | Times Cited: 1
The Role of Solute Polarizability and Microenvironment in the Spectroscopic Behaviour of the Local Anesthetic Drug - Bupivacaine
Marta Miotke-Wasilczyk, Marek Józefowicz
(2024)
Closed Access
The Role of Solute Polarizability and Microenvironment in the Spectroscopic Behaviour of the Local Anesthetic Drug - Bupivacaine
Marta Miotke-Wasilczyk, Marek Józefowicz
(2024)
Closed Access
Predicting drug-drug interactions using heterogeneous graph neural networks: HGNN-DDI
Hongbo Liu, Siyi Li, Yufeng Zheng
Applied and Computational Engineering (2024) Vol. 79, Iss. 1, pp. 77-89
Open Access
Interpretable prediction of drug-drug interactions via text embedding in biomedical literature
Sunwoo Jung, Sunyong Yoo
Computers in Biology and Medicine (2024) Vol. 185, pp. 109496-109496
Open Access
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