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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:

Improved prediction of drug-drug interactions using ensemble deep neural networks
Thanh Hoa Vo, Ngan Nguyen, Nguyen Quoc Khanh Le
Medicine in Drug Discovery (2022) Vol. 17, pp. 100149-100149
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Simulation-based approaches for drug delivery systems: Navigating advancements, opportunities, and challenges
Iman Salahshoori, Mahdi Golriz, Marcos A.L. Nobre, et al.
Journal of Molecular Liquids (2023) Vol. 395, pp. 123888-123888
Open Access | Times Cited: 51
Development and Validation of an Explainable Machine Learning-Based Prediction Model for Drug–Food Interactions from Chemical Structures
Quang-Hien Kha, Viet-Huan Le, Truong Nguyen Khanh Hung, et al.
Sensors (2023) Vol. 23, Iss. 8, pp. 3962-3962
Open Access | Times Cited: 42
Multimodal CNN-DDI: using multimodal CNN for drug to drug interaction associated events
Muhammad Asfand-e-yar, Qadeer Hashir, Asghar Ali Shah, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 9
Learning self-supervised molecular representations for drug–drug interaction prediction
Rogia Kpanou, Patrick Dallaire, Elsa Rousseau, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 7
A survey of the recent trends in deep learning for literature based discovery in the biomedical domain
Eugenio Cesario, Carmela Comito, Ester Zumpano
Neurocomputing (2023) Vol. 568, pp. 127079-127079
Closed Access | Times Cited: 15
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
DDINet: Drug-Drug Interaction Prediction Network based on Multi-Molecular Fingerprint Features and Multi-Head Attention Centred Weighted Auto Encoder
K. Soni Sharmila, Thanga Revathi S, Pokkuluri Kiran Sree
Journal of Bioinformatics and Computational Biology (2025) Vol. 23, Iss. 01
Closed Access
Predictive modeling of pediatric drug-induced liver injury: Dynamic classifier selection with clustering analysis
Zhichun Shi, Linjun Huang, Haolin Wang
Digital Health (2025) Vol. 11
Open Access
A Perspective on Foundation Models in Chemistry
Junyoung Choi, Gunwook Nam, Jaesik Choi, et al.
JACS Au (2025)
Open Access
A systematic review of molecular structures, knowledge graphs, and cold-start scenario in drug-drug interaction prediction
Majed Ahmad, Zamarud Shah, Hui Wen Nies
Computers in Biology and Medicine (2025) Vol. 190, pp. 110122-110122
Closed Access
MLG2Net: Molecular Global Graph Network for Drug Response Prediction in Lung Cancer Cell Lines
Thi-Oanh Tran, Thanh-Huy Nguyen, Tuan Tung Nguyen, et al.
Journal of Medical Systems (2025) Vol. 49, Iss. 1
Closed Access
An NLP-based technique to extract meaningful features from drug SMILES
Rahul Sharma, Ehsan Saghapour, Jake Y. Chen
iScience (2024) Vol. 27, Iss. 3, pp. 109127-109127
Open Access | Times Cited: 4
Advanced AI Applications for Drug Discovery
Bancha Yingngam, Benjabhorn Sethabouppha
Advances in medical technologies and clinical practice book series (2024), pp. 42-86
Closed Access | Times Cited: 4
PHGL-DDI: A pre-training based hierarchical graph learning framework for drug-drug interaction prediction
Yongna Yuan, Jiaqi Yue, Ruisheng Zhang, et al.
Expert Systems with Applications (2025), pp. 126408-126408
Closed Access
MSMDL-DDI: Multi-Layer Soft Mask Dual-View Learning for Drug-Drug Interactions
Ping Lu, Liwei Zheng, Junpeng Lin, et al.
Computational Biology and Chemistry (2025) Vol. 115, pp. 108355-108355
Closed Access
FSRM-DDIE : few-shot learning methods based on relation metrics for the prediction of drug-drug interaction events
Lianwei Zhang, Dongjiang Niu, Beiyi Zhang, et al.
Applied Intelligence (2024)
Closed Access | Times Cited: 3
DBGRU-SE: predicting drug–drug interactions based on double BiGRU and squeeze-and-excitation attention mechanism
Mingxiang Zhang, Hongli Gao, Xin Liao, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Closed Access | Times Cited: 8
Predicting an Optimal Medication/Prescription Regimen for Patient Discordant Chronic Comorbidities Using Multi-Output Models
Ichchha Pradeep Sharma, Tam Nguyen, Shruti Ajay Singh, et al.
Information (2024) Vol. 15, Iss. 1, pp. 31-31
Open Access | Times Cited: 2
Development and validation of a machine learning model for predicting drug-drug interactions with oral diabetes medications
Quang-Hien Kha, Ngan Nguyen, Nguyen Quoc Khanh Le, et al.
Methods (2024) Vol. 232, pp. 81-88
Closed Access | Times Cited: 2
GADNN: A graph attention-based method for drug-drug association prediction considering the contribution rate of different types of drug-related features
Marzieh Nejati, Amir Lakizadeh
Informatics in Medicine Unlocked (2023) Vol. 44, pp. 101429-101429
Open Access | Times Cited: 4
A Sustainable Development for Building Energy Consumption Based on Improved Rafflesia Optimization Algorithm with Feature Selection and Ensemble Deep Learning
Zne-Jung Lee, Jeng‐Shyang Pan, Bor‐Jiunn Hwang
Sustainability (2024) Vol. 16, Iss. 15, pp. 6306-6306
Open Access | Times Cited: 1
Enzyme-mediated drug-drug interactions: a review of in vivo and in vitro methodologies, regulatory guidance, and translation to the clinic
Jaydeep Yadav, Benjamin J. Maldonato, Joseph M. Roesner, et al.
Drug Metabolism Reviews (2024), pp. 1-33
Closed Access | Times Cited: 1
Enhancing Medication Safety with Large Language Models: Advanced Detection and Prediction of Drug-Drug Interactions
Basma Mohammed J. Alshehri, Naoufel Kraïem, Houneida Sakly, et al.
(2024), pp. 547-552
Closed Access | Times Cited: 1
A study on improving drug–drug interactions prediction using convolutional neural networks
Deepa Kumari, Dhruv Agrawal, Arjita Nema, et al.
Applied Soft Computing (2024) Vol. 166, pp. 112242-112242
Closed Access | Times Cited: 1
Artificial intelligence, medications, pharmacogenomics, and ethics
Susanne B. Haga
Pharmacogenomics (2024), pp. 1-12
Closed Access | Times Cited: 1
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