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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:

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: 70

Showing 1-25 of 70 citing articles:

Acceptance of clinical artificial intelligence among physicians and medical students: A systematic review with cross-sectional survey
Mingyang Chen, Bo Zhang, Ziting Cai, et al.
Frontiers in Medicine (2022) Vol. 9
Open Access | Times Cited: 107
Attention-based Knowledge Graph Representation Learning for Predicting Drug-drug Interactions
Xiaorui Su, Lun Hu, Zhu‐Hong You, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 3
Closed Access | Times Cited: 76
Predicting miRNA–disease associations via learning multimodal networks and fusing mixed neighborhood information
Zhengzheng Lou, Zhaoxu Cheng, Hui Li, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 5
Closed Access | Times Cited: 59
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: 55
IChrom-Deep: An Attention-Based Deep Learning Model for Identifying Chromatin Interactions
Pengyu Zhang, Hao Wu
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 9, pp. 4559-4568
Closed Access | Times Cited: 30
Dual-channel hypergraph convolutional network for predicting herb–disease associations
Lun Hu, Menglong Zhang, Pengwei Hu, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 14
G-K BertDTA: A graph representation learning and semantic embedding-based framework for drug-target affinity prediction
Xihe Qiu, Haoyu Wang, Xiaoyu Tan, et al.
Computers in Biology and Medicine (2024) Vol. 173, pp. 108376-108376
Closed Access | Times Cited: 11
Biolinguistic graph fusion model for circRNA–miRNA association prediction
Lu-Xiang Guo, Lei Wang, Zhu‐Hong You, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 9
Interpretable identification of cancer genes across biological networks via transformer-powered graph representation learning
Xiaorui Su, Pengwei Hu, Dongxu Li, et al.
Nature Biomedical Engineering (2025)
Closed Access | Times Cited: 1
A heterogeneous network-based method with attentive meta-path extraction for predicting drug–target interactions
Hongzhun Wang, Feng Huang, Zhankun Xiong, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 4
Open Access | Times Cited: 36
SPRDA: a link prediction approach based on the structural perturbation to infer disease-associated Piwi-interacting RNAs
Kai Zheng, Xinlu Zhang, Lei Wang, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Open Access | Times Cited: 35
AMDECDA: Attention Mechanism Combined With Data Ensemble Strategy for Predicting CircRNA-Disease Association
Lei Wang, Leon Wong, Zhu‐Hong You, et al.
IEEE Transactions on Big Data (2023) Vol. 10, Iss. 4, pp. 320-329
Closed Access | Times Cited: 20
BCMCMI: A Fusion Model for Predicting circRNA-miRNA Interactions Combining Semantic and Meta-path
Meng-Meng Wei, Chang-Qing Yu, Liping Li, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 16, pp. 5384-5394
Closed Access | Times Cited: 18
The rise of nonnegative matrix factorization: Algorithms and applications
Yi-Ting Guo, Qin‐Qin Li, Chun‐Sheng Liang
Information Systems (2024) Vol. 123, pp. 102379-102379
Closed Access | Times Cited: 7
MHGTMDA: Molecular heterogeneous graph transformer based on biological entity graph for miRNA-disease associations prediction
Haitao Zou, Boya Ji, Meng Zhang, et al.
Molecular Therapy — Nucleic Acids (2024) Vol. 35, Iss. 1, pp. 102139-102139
Open Access | Times Cited: 6
A PiRNA-disease association model incorporating sequence multi-source information with graph convolutional networks
Lei Wang, Zhengwei Li, Jing Hu, et al.
Applied Soft Computing (2024) Vol. 157, pp. 111523-111523
Closed Access | Times Cited: 6
MDDI-SCL: predicting multi-type drug-drug interactions via supervised contrastive learning
Shenggeng Lin, Weizhi Chen, Gengwang Chen, et al.
Journal of Cheminformatics (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 28
PPISB: A Novel Network-Based Algorithm of Predicting Protein-Protein Interactions With Mixed Membership Stochastic Blockmodel
Xiaojuan Wang, Wen Yang, Yue Yang, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022) Vol. 20, Iss. 2, pp. 1606-1612
Closed Access | Times Cited: 26
Improving prediction of drug-target interactions based on fusing multiple features with data balancing and feature selection techniques
Hakimeh Khojasteh, Jamshid Pirgazi, Ali Ghanbari Sorkhi
PLoS ONE (2023) Vol. 18, Iss. 8, pp. e0288173-e0288173
Open Access | Times Cited: 16
Advancing drug–target interaction prediction: a comprehensive graph-based approach integrating knowledge graph embedding and ProtBert pretraining
Warith Eddine Djeddi, Khalil Hermi, Sadok Ben Yahia, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 13
DLM-DTI: a dual language model for the prediction of drug-target interaction with hint-based learning
Jonghyun Lee, Dae Won Jun, Ildae Song, et al.
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 5
Machine learning based biomarker discovery for chronic kidney disease–mineral and bone disorder (CKD-MBD)
Yuting Li, Yukuan Lou, Man Liu, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 5
A computational approach to drug repurposing using graph neural networks
Siddhant Doshi, Sundeep Prabhakar Chepuri
Computers in Biology and Medicine (2022) Vol. 150, pp. 105992-105992
Open Access | Times Cited: 22
Capturing short-range and long-range dependencies of nucleotides for identifying RNA N6-methyladenosine modification sites
Guodong Li, Bo-Wei Zhao, Xiaorui Su, et al.
Computers in Biology and Medicine (2025) Vol. 186, pp. 109625-109625
Closed Access
GiGs: graph-based integrated Gaussian kernel similarity for virus–drug association prediction
Yixuan Jin, Juanjuan Huang, Xu Sun, et al.
Briefings in Bioinformatics (2025) Vol. 26, Iss. 2
Open Access
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