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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:

Drug repositioning based on similarity constrained probabilistic matrix factorization: COVID-19 as a case study
Yajie Meng, Min Jin, Xianfang Tang, et al.
Applied Soft Computing (2021) Vol. 103, pp. 107135-107135
Open Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

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: 108
A deep learning method for repurposing antiviral drugs against new viruses via multi-view nonnegative matrix factorization and its application to SARS-CoV-2
Xiaorui Su, Lun Hu, Zhu‐Hong You, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 69
A geometric deep learning framework for drug repositioning over heterogeneous information networks
Bo-Wei Zhao, Xiaorui Su, Pengwei Hu, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 6
Open Access | Times Cited: 52
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: 29
Graph2MDA: a multi-modal variational graph embedding model for predicting microbe–drug associations
Lei Deng, Yibiao Huang, Xuejun Liu, et al.
Bioinformatics (2021) Vol. 38, Iss. 4, pp. 1118-1125
Open Access | Times Cited: 45
Drug–disease association prediction with literature based multi-feature fusion
Hongyu Kang, Li Hou, Yaowen Gu, et al.
Frontiers in Pharmacology (2023) Vol. 14
Open Access | Times Cited: 17
CDPMF-DDA: contrastive deep probabilistic matrix factorization for drug-disease association prediction
Xianfang Tang, Yawen Hou, Yajie Meng, et al.
BMC Bioinformatics (2025) Vol. 26, Iss. 1
Open Access
Comprehensive evaluation of pure and hybrid collaborative filtering in drug repurposing
Clémence Réda, Jill-Jênn Vie, Olaf Wolkenhauer
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Traditional Chinese medicine studies for AD based on Logistic Matrix Factorization and Similarity Network Fusion
Rui Ding, Shujuan Cao, Binying Cai, et al.
Applied Mathematics and Computation (2025) Vol. 496, pp. 129346-129346
Closed Access
Autoencoder-based drug-virus association prediction with reliable negative sample selection: A case study with COVID-19
Ajithadas Aruna, K. R. Remesh Babu, K. Deepthi
Biophysical Chemistry (2025), pp. 107434-107434
Closed Access
SANE: A sequence combined attentive network embedding model for COVID-19 drug repositioning
Xiaorui Su, Zhu‐Hong You, Lei Wang, et al.
Applied Soft Computing (2021) Vol. 111, pp. 107831-107831
Open Access | Times Cited: 33
Drug–disease associations prediction via Multiple Kernel-based Dual Graph Regularized Least Squares
Hongpeng Yang, Yijie Ding, Jijun Tang, et al.
Applied Soft Computing (2021) Vol. 112, pp. 107811-107811
Closed Access | Times Cited: 32
Drug Repositioning with GraphSAGE and Clustering Constraints Based on Drug and Disease Networks
Yuchen Zhang, Xiujuan Lei, Yi Pan, et al.
Frontiers in Pharmacology (2022) Vol. 13
Open Access | Times Cited: 22
Enhancing Drug Repositioning through Local Interactive Learning with Bilinear Attention Networks
Xianfang Tang, Chang Zhou, Changcheng Lu, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 29, Iss. 3, pp. 1644-1655
Closed Access | Times Cited: 14
A network-based drug repurposing method via non-negative matrix factorization
Shaghayegh Sadeghi, Jianguo Lü, Alioune Ngom
Bioinformatics (2021) Vol. 38, Iss. 5, pp. 1369-1377
Open Access | Times Cited: 29
Drug repositioning: A bibliometric analysis
Guojun Sun, Dashun Dong, Zuojun Dong, et al.
Frontiers in Pharmacology (2022) Vol. 13
Open Access | Times Cited: 19
DeepCoVDR: deep transfer learning with graph transformer and cross-attention for predicting COVID-19 drug response
Zhijian Huang, Pan Zhang, Lei Deng
Bioinformatics (2023) Vol. 39, Iss. Supplement_1, pp. i475-i483
Open Access | Times Cited: 11
A deep learning ensemble approach to prioritize antiviral drugs against novel coronavirus SARS-CoV-2 for COVID-19 drug repurposing
K. Deepthi, A. S. Jereesh, Yuansheng Liu
Applied Soft Computing (2021) Vol. 113, pp. 107945-107945
Open Access | Times Cited: 26
A new framework for drug–disease association prediction combing light-gated message passing neural network and gated fusion mechanism
Bao-Min Liu, Ying-Lian Gao, Dai-Jun Zhang, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 6
Closed Access | Times Cited: 17
Discovery of Potential Therapeutic Drugs for COVID-19 Through Logistic Matrix Factorization With Kernel Diffusion
Xiongfei Tian, Ling Shen, Pengfei Gao, et al.
Frontiers in Microbiology (2022) Vol. 13
Open Access | Times Cited: 15
Computational drug repositioning using similarity constrained weight regularization matrix factorization: A case of COVID‐19
Junlin Xu, Yajie Meng, Lihong Peng, et al.
Journal of Cellular and Molecular Medicine (2022) Vol. 26, Iss. 13, pp. 3772-3782
Open Access | Times Cited: 14
Predicting Drug–Gene–Disease Associations by Tensor Decomposition for Network-Based Computational Drug Repositioning
Yoonbee Kim, Young‐Rae Cho
Biomedicines (2023) Vol. 11, Iss. 7, pp. 1998-1998
Open Access | Times Cited: 8
stanscofi and benchscofi: a new standard for drug repurposing by collaborative filtering
Clémence Réda, Jill-Jênn Vie, Olaf Wolkenhauer
The Journal of Open Source Software (2024) Vol. 9, Iss. 93, pp. 5973-5973
Open Access | Times Cited: 2
MSGCA: Drug-Disease Associations Prediction Based on Multi-Similarities Graph Convolutional Autoencoder
Ying Wang, Ying-Lian Gao, Juan Wang, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 7, pp. 3686-3694
Closed Access | Times Cited: 7
BGMSDDA: a bipartite graph diffusion algorithm with multiple similarity integration for drug–disease association prediction
Guobo Xie, Jianming Li, Guosheng Gu, et al.
Molecular Omics (2021) Vol. 17, Iss. 6, pp. 997-1011
Closed Access | Times Cited: 16
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