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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 26-50 of 77 citing articles:

Graph neural networks for multi-view learning: a taxonomic review
Shunxin Xiao, Jiacheng Li, Jielong Lu, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 12
Open Access | Times Cited: 3
MVGCNMDA: Multi-view Graph Augmentation Convolutional Network for Uncovering Disease-Related Microbes
Meifang Hua, Shengpeng Yu, Tianyu Liu, et al.
Interdisciplinary Sciences Computational Life Sciences (2022) Vol. 14, Iss. 3, pp. 669-682
Closed Access | Times Cited: 15
MHADTI: predicting drug–target interactions via multiview heterogeneous information network embedding with hierarchical attention mechanisms
Zhen Tian, Xiangyu Peng, Haichuan Fang, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 6
Closed Access | Times Cited: 15
SLGCN: Structure-enhanced line graph convolutional network for predicting drug–disease associations
Bao-Min Liu, Ying-Lian Gao, Feng Li, et al.
Knowledge-Based Systems (2023) Vol. 283, pp. 111187-111187
Closed Access | Times Cited: 8
Prediction of LncRNA-Protein Interactions Based on Kernel Combinations and Graph Convolutional Networks
Cong Shen, Dongdong Mao, Jijun Tang, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 4, pp. 1937-1948
Closed Access | Times Cited: 7
A general hypergraph learning algorithm for drug multi-task predictions in micro-to-macro biomedical networks
Shuting Jin, Hong Yue, Zeng Li, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 11, pp. e1011597-e1011597
Open Access | Times Cited: 7
MiRNA-Drug Resistance Association Prediction Through the Attentive Multimodal Graph Convolutional Network
Yanqing Niu, Congzhi Song, Yuchong Gong, et al.
Frontiers in Pharmacology (2022) Vol. 12
Open Access | Times Cited: 12
NGCN: Drug‐target interaction prediction by integrating information and feature learning from heterogeneous network
Junyue Cao, Qingfeng Chen, Junlai Qiu, et al.
Journal of Cellular and Molecular Medicine (2024) Vol. 28, Iss. 7
Open Access | Times Cited: 2
Heterogeneous graph inference with range constrainted L2,1-collaborative matrix factorization for small molecule-miRNA association prediction
Shudong Wang, Tiyao Liu, Chuanru Ren, et al.
Computational Biology and Chemistry (2024) Vol. 110, pp. 108078-108078
Closed Access | Times Cited: 2
SEBGLMA: Semantic Embedded Bipartite Graph Network for Predicting lncRNA-miRNA Associations
Zhengyang Zhao, Jie Lin, Zhen Wang, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-15
Open Access | Times Cited: 6
MPFFPSDC: A multi-pooling feature fusion model for predicting synergistic drug combinations
Xin Bao, Jianqiang Sun, Ming Yi, et al.
Methods (2023) Vol. 217, pp. 1-9
Closed Access | Times Cited: 6
Cross-view contrastive representation learning approach to predicting DTIs via integrating multi-source information
Chengxin He, Yuening Qu, Jin Yin, et al.
Methods (2023) Vol. 218, pp. 176-188
Closed Access | Times Cited: 6
Drug Repositioning Based on Deep Sparse Autoencoder and Drug–Disease Similarity
Lei Song, Xiujuan Lei, Ming Chen, et al.
Interdisciplinary Sciences Computational Life Sciences (2023) Vol. 16, Iss. 1, pp. 160-175
Closed Access | Times Cited: 6
THGNCDA: circRNA–disease association prediction based on triple heterogeneous graph network
Yuwei Guo, Ming Yi
Briefings in Functional Genomics (2023) Vol. 23, Iss. 4, pp. 384-394
Closed Access | Times Cited: 5
IMAEN: An interpretable molecular augmentation model for drug–target interaction prediction
Jing Zhang, Zhi Liu, Yaohua Pan, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121882-121882
Closed Access | Times Cited: 4
A comprehensive review and evaluation of graph neural networks for non-coding RNA and complex disease associations
Xiaowen Hu, Dayun Liu, Jiaxuan Zhang, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 6
Closed Access | Times Cited: 4
Medical knowledge graph question answering for drug‐drug interaction prediction based on multi‐hop machine reading comprehension
Peng Gao, Feng Gao, Jiancheng Ni, et al.
CAAI Transactions on Intelligence Technology (2024)
Open Access | Times Cited: 1
Reusability report: Uncovering associations in biomedical bipartite networks via a bilinear attention network with domain adaptation
Tao Xu, Haoyuan Shi, Wanling Gao, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 4, pp. 461-466
Closed Access | Times Cited: 1
Dynamic bipartite network model based on structure and preference features
Hehe Lv, Guobing Zou, Bofeng Zhang, et al.
Knowledge and Information Systems (2024) Vol. 66, Iss. 8, pp. 4527-4548
Closed Access | Times Cited: 1
Explainable Multimodal Graph Isomorphism Network for Interpreting Sex Differences in Adolescent Neurodevelopment
Binish Patel, Anton Orlichenko, Adnan Patel, et al.
Applied Sciences (2024) Vol. 14, Iss. 10, pp. 4144-4144
Open Access | Times Cited: 1
CVGAE: A Self-Supervised Generative Method for Gene Regulatory Network Inference Using Single-Cell RNA Sequencing Data
Wei Liu, Zhijie Teng, Zejun Li, et al.
Interdisciplinary Sciences Computational Life Sciences (2024) Vol. 16, Iss. 4, pp. 990-1004
Closed Access | Times Cited: 1
DDI-SSL: Drug–Drug Interaction Prediction Based on Substructure Signature Learning
Liang Yuan
(2023)
Open Access | Times Cited: 3
DDI-SSL: Drug–Drug Interaction Prediction Based on Substructure Signature Learning
Yuan Liang
Applied Sciences (2023) Vol. 13, Iss. 19, pp. 10750-10750
Open Access | Times Cited: 3
Current and future directions in network biology
Marinka Žitnik, Michelle M. Li, A. V. Wells, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 3
Decoding functional cell–cell communication events by multi-view graph learning on spatial transcriptomics
Haochen Li, Tianxing Ma, Minsheng Hao, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 5

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