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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:

Biomedical data and computational models for drug repositioning: a comprehensive review
Huimin Luo, Min Li, Mengyun Yang, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 2, pp. 1604-1619
Closed Access | Times Cited: 159

Showing 1-25 of 159 citing articles:

Predicting drug–disease associations through layer attention graph convolutional network
Zhouxin Yu, Feng Huang, Xiaohan Zhao, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 4
Closed Access | Times Cited: 276
Artificial intelligence, machine learning, and drug repurposing in cancer
Ziaurrehman Tanoli, Markus Vähä‐Koskela, Tero Aittokallio
Expert Opinion on Drug Discovery (2021) Vol. 16, Iss. 9, pp. 977-989
Open Access | Times Cited: 120
HINGRL: predicting drug–disease associations with graph representation learning on heterogeneous information networks
Bo-Wei Zhao, Lun Hu, Zhu‐Hong You, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 118
A weighted bilinear neural collaborative filtering approach for drug repositioning
Yajie Meng, Changcheng Lu, Min Jin, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 2
Closed Access | Times Cited: 112
A review of biomedical datasets relating to drug discovery: a knowledge graph perspective
Stephen Bonner, Ian P. Barrett, Cheng Ye, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 6
Open Access | Times Cited: 84
Fusing Higher and Lower-Order Biological Information for Drug Repositioning via Graph Representation Learning
Bo-Wei Zhao, Lei Wang, Pengwei Hu, et al.
IEEE Transactions on Emerging Topics in Computing (2023) Vol. 12, Iss. 1, pp. 163-176
Closed Access | Times Cited: 58
Computational drug repositioning based on multi-similarities bilinear matrix factorization
Mengyun Yang, Gaoyan Wu, Qichang Zhao, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 4
Closed Access | Times Cited: 77
BridgeDPI: a novel Graph Neural Network for predicting drug–protein interactions
Yifan Wu, Min Gao, Min Zeng, et al.
Bioinformatics (2022) Vol. 38, Iss. 9, pp. 2571-2578
Open Access | Times Cited: 61
KG-Predict: A knowledge graph computational framework for drug repurposing
Zhenxiang Gao, Pingjian Ding, Rong Xu
Journal of Biomedical Informatics (2022) Vol. 132, pp. 104133-104133
Open Access | Times Cited: 54
AttentionDTA: Drug–Target Binding Affinity Prediction by Sequence-Based Deep Learning With Attention Mechanism
Qichang Zhao, Guihua Duan, Mengyun Yang, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022) Vol. 20, Iss. 2, pp. 852-863
Closed Access | Times Cited: 43
REDDA: Integrating multiple biological relations to heterogeneous graph neural network for drug-disease association prediction
Yaowen Gu, Si Zheng, Qijin Yin, et al.
Computers in Biology and Medicine (2022) Vol. 150, pp. 106127-106127
Closed Access | Times Cited: 40
Towards artificial intelligence-enabled extracellular vesicle precision drug delivery
Zachary Greenberg, Kiley Graim, Mei He
Advanced Drug Delivery Reviews (2023) Vol. 199, pp. 114974-114974
Closed Access | Times Cited: 36
Drug repositioning based on weighted local information augmented graph neural network
Yajie Meng, Yi Wang, Junlin Xu, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 30
Decoding Connectivity Map-based drug repurposing for oncotherapy
Yuanchun Zhao, Xingqi Chen, Jiajia Chen, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 3
Open Access | Times Cited: 27
Low Rank Matrix Factorization Algorithm Based on Multi-Graph Regularization for Detecting Drug-Disease Association
Chengwei Ai, Hongpeng Yang, Yijie Ding, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2023) Vol. 20, Iss. 5, pp. 3033-3043
Closed Access | Times Cited: 26
Repurposing ketamine to treat cocaine use disorder: integration of artificial intelligence‐based prediction, expert evaluation, clinical corroboration and mechanism of action analyses
Zhenxiang Gao, Theresa Winhusen, Maria P. Gorenflo, et al.
Addiction (2023) Vol. 118, Iss. 7, pp. 1307-1319
Open Access | Times Cited: 23
A comprehensive survey on computational methods of non-coding RNA and disease association prediction
Xiujuan Lei, Thosini Bamunu Mudiyanselage, Yuchen Zhang, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 4
Closed Access | Times Cited: 52
A review on computer‐aided chemogenomics and drug repositioning for rationalCOVID‐19 drug discovery
Saeid Maghsoudi, Bahareh Taghavi Shahraki, Fatemeh Rameh, et al.
Chemical Biology & Drug Design (2022) Vol. 100, Iss. 5, pp. 699-721
Open Access | Times Cited: 33
Drug repositioning with adaptive graph convolutional networks
Xinliang Sun, Jia Xiao, Zhangli Lu, et al.
Bioinformatics (2023) Vol. 40, Iss. 1
Open Access | Times Cited: 21
Computational drug repositioning with attention walking
Jong-Hoon Park, Young‐Rae Cho
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
KGRDR: a deep learning model based on knowledge graph and graph regularized integration for drug repositioning
Huimin Luo, Hui Yang, Ge Zhang, et al.
Frontiers in Pharmacology (2025) Vol. 16
Open Access
Application status of traditional computational methods and machine learning in cancer drug repositioning
Cao Yixin, Yongzhi Li, Wei Lingxi, et al.
Precision medication. (2025), pp. 100014-100014
Open Access
Multidependency Graph Convolutional Networks and Contrastive Learning for Drug Repositioning
Yanglan Gan, Shengnan Li, Guangwei Xu, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
Prediction of drug’s anatomical therapeutic chemical (ATC) code by constructing biological profiles of ATC codes
Lei Chen, Yiwen Lu, Jing Xu, et al.
BMC Bioinformatics (2025) Vol. 26, Iss. 1
Open Access
An Effective Convolutional Neural Network for Classifying Red Blood Cells in Malaria Diseases
Quan Quan, Jianxin Wang, Liangliang Liu
Interdisciplinary Sciences Computational Life Sciences (2020) Vol. 12, Iss. 2, pp. 217-225
Closed Access | Times Cited: 41
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