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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:

MVGCN: data integration through multi-view graph convolutional network for predicting links in biomedical bipartite networks
Haitao Fu, Feng Huang, Xuan Liu, et al.
Bioinformatics (2021) Vol. 38, Iss. 2, pp. 426-434
Closed Access | Times Cited: 77

Showing 1-25 of 77 citing articles:

Biomedical knowledge graph learning for drug repurposing by extending guilt-by-association to multiple layers
Dongmin Bang, Sangsoo Lim, Sangseon Lee, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 54
Current and future directions in network biology
Marinka Žitnik, Michelle M. Li, A. V. Wells, et al.
Bioinformatics Advances (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 19
Identification of human microRNA-disease association via low-rank approximation-based link propagation and multiple kernel learning
Yizheng Wang, Xin Zhang, Ying Ju, et al.
Frontiers of Computer Science (2024) Vol. 18, Iss. 2
Closed Access | Times Cited: 18
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
Pre-training graph neural networks for link prediction in biomedical networks
Yahui Long, Min Wu, Yong Liu, et al.
Bioinformatics (2022) Vol. 38, Iss. 8, pp. 2254-2262
Open Access | Times Cited: 54
Multi-way relation-enhanced hypergraph representation learning for anti-cancer drug synergy prediction
Xuan Liu, Congzhi Song, Shichao Liu, et al.
Bioinformatics (2022) Vol. 38, Iss. 20, pp. 4782-4789
Closed Access | Times Cited: 39
Similarity measures-based graph co-contrastive learning for drug–disease association prediction
Zihao Gao, Huifang Ma, Xiaohui Zhang, et al.
Bioinformatics (2023) Vol. 39, Iss. 6
Open Access | Times Cited: 23
A Survey of Deep Learning for Detecting miRNA- Disease Associations: Databases, Computational Methods, Challenges, and Future Directions
Nan Sheng, Xuping Xie, Yan Wang, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2024) Vol. 21, Iss. 3, pp. 328-347
Closed Access | Times Cited: 9
Drug-Target Interactions Prediction Based on Signed Heterogeneous Graph Neural Networks
Ming Chen, Yajian Jiang, Xiujuan Lei, et al.
Chinese Journal of Electronics (2024) Vol. 33, Iss. 1, pp. 231-244
Open Access | Times Cited: 9
Optimizing differential expression analysis for proteomics data via high-performing rules and ensemble inference
Hui Peng, He Wang, Weijia Kong, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 9
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
Predicting miRNA-disease associations based on graph attention network with multi-source information
Guanghui Li, Tao Fang, Yuejin Zhang, et al.
BMC Bioinformatics (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 29
Decoding functional cell–cell communication events by multi-view graph learning on spatial transcriptomics
Haochen Li, Tianxing Ma, Minsheng Hao, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 6
Open Access | Times Cited: 22
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
SSLDTI: A novel method for drug-target interaction prediction based on self-supervised learning
Zhixian Liu, Qingfeng Chen, Wei Lan, et al.
Artificial Intelligence in Medicine (2024) Vol. 149, pp. 102778-102778
Closed Access | Times Cited: 8
Drug-target interaction predictions with multi-view similarity network fusion strategy and deep interactive attention mechanism
Wei Song, Lewen Xu, Chenguang Han, et al.
Bioinformatics (2024) Vol. 40, Iss. 6
Open Access | Times Cited: 6
LR-GNN: a graph neural network based on link representation for predicting molecular associations
Chuanze Kang, Han Zhang, Zhuo Liu, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 40
Subgraph-Aware Graph Kernel Neural Network for Link Prediction in Biological Networks
Menglu Li, Zhiwei Wang, L. Liu, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 7, pp. 4373-4381
Closed Access | Times Cited: 5
A comprehensive review of molecular optimization in artificial intelligence‐based drug discovery
Yuhang Xia, Yongkang Wang, Zhiwei Wang, et al.
Quantitative Biology (2024) Vol. 12, Iss. 1, pp. 15-29
Open Access | Times Cited: 4
Drug-target binding affinity prediction based on power graph and word2vec
Jing Hu, Shuo Hu, Minghao Xia, et al.
BMC Medical Genomics (2025) Vol. 18, Iss. S1
Open Access
ASGCL: Adaptive Sparse Mapping-based graph contrastive learning network for cancer drug response prediction
Yunyun Dong, Yuanrong Zhang, Yuhua Qian, et al.
PLoS Computational Biology (2025) Vol. 21, Iss. 1, pp. e1012748-e1012748
Open Access
Attention-augmented multi-domain cooperative graph representation learning for molecular interaction prediction
Zhaowei Wang, Jun Meng, Haibin Li, et al.
Neural Networks (2025) Vol. 186, pp. 107265-107265
Closed Access
A Multi-view Graph Neural Network Approach for Magnetic Resonance Imaging-Based Diagnosis of Knee Injuries
Bin Deng, Jingjing Pan, Xiaoyu Tang, et al.
Communications in computer and information science (2025), pp. 233-246
Closed Access
Enhancing multiview synergy: Robust learning by exploiting the wave loss function with consensus and complementarity principles
A. Quadir, Mushir Akhtar, M. Tanveer
Neural Networks (2025), pp. 107433-107433
Closed Access
Attention-based cross domain graph neural network for prediction of drug–drug interactions
Hui Yu, KangKang Li, WenMin Dong, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Closed Access | Times Cited: 10
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