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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:

GCFMCL: predicting miRNA-drug sensitivity using graph collaborative filtering and multi-view contrastive learning
Jinhang Wei, Linlin Zhuo, Zhecheng Zhou, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Open Access | Times Cited: 20

Showing 20 citing articles:

GAM-MDR: probing miRNA–drug resistance using a graph autoencoder based on random path masking
Zhecheng Zhou, Zhenya Du, Xin Jiang, et al.
Briefings in Functional Genomics (2024) Vol. 23, Iss. 4, pp. 475-483
Closed Access | Times Cited: 17
Joint masking and self-supervised strategies for inferring small molecule-miRNA associations
Zhecheng Zhou, Linlin Zhuo, Xiangzheng Fu, et al.
Molecular Therapy — Nucleic Acids (2023) Vol. 35, Iss. 1, pp. 102103-102103
Open Access | Times Cited: 28
Enhancing drug–food interaction prediction with precision representations through multilevel self-supervised learning
Jinhang Wei, Zhen Li, Linlin Zhuo, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108104-108104
Closed Access | Times Cited: 7
Accurate identification of snoRNA targets using variational graph autoencoder to advance the redevelopment of traditional medicines
Zhina Wang, Yishan Chen, Hongming Ma, et al.
Frontiers in Pharmacology (2025) Vol. 15
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
MGHSTCKW: Predicting miRNA-drug sensitivity association using hypergraph sparse transformer and hypergraph-induced contrastive learning based on meta-path
Dong Ouyang, Bo Jin, Jing Tian, et al.
Expert Systems with Applications (2025), pp. 126879-126879
Closed Access
IRPCA: An Interpretable Robust Principal Component Analysis Framework for Inferring miRNA–Drug Associations
Yunyin Li, Shudong Wang, Yuanyuan Zhang, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
Machine learning and multi-omics integration: advancing cardiovascular translational research and clinical practice
Mingzhi Lin, Jiuqi Guo, Zhilin Gu, et al.
Journal of Translational Medicine (2025) Vol. 23, Iss. 1
Open Access
StableDNAm: towards a stable and efficient model for predicting DNA methylation based on adaptive feature correction learning
Linlin Zhuo, Rui Wang, Xiangzheng Fu, et al.
BMC Genomics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 7
A weighted integration method based on graph representation learning for drug repositioning
Haojie Lian, Pengju Ding, Chao Yu, et al.
Applied Soft Computing (2024) Vol. 161, pp. 111763-111763
Closed Access | Times Cited: 2
mRNA-CLA: An interpretable deep learning approach for predicting mRNA subcellular localization
Yi‐Fan Chen, Zhenya Du, Xuanbai Ren, et al.
Methods (2024) Vol. 227, pp. 17-26
Closed Access | Times Cited: 1
HGGN: Prediction of microRNA-Mediated drug sensitivity based on interpretable heterogeneous graph global-attention network
Junliang Liu, Xinbo Zhao, Yuran Jia, et al.
Future Generation Computer Systems (2024) Vol. 160, pp. 274-282
Closed Access | Times Cited: 1
Predicting miRNA-drug interactions via dual-channel network based on TCN and BiLSTM
Xiaoxuan Zhang, Xiujuan Lei
Frontiers of Computer Science (2024) Vol. 19, Iss. 5
Closed Access | Times Cited: 1
ET-PROTACs: modeling ternary complex interactions using cross-modal learning and ternary attention for accurate PROTAC-induced degradation prediction
Lijun Cai, Guanghui Yue, Yifan Chen, et al.
Briefings in Bioinformatics (2024) Vol. 26, Iss. 1
Open Access | Times Cited: 1
SGAE-MDA: Exploring the MiRNA-disease associations in herbal medicines based on semi-supervised graph autoencoder
Lei Xu, Xiangzheng Fu, Linlin Zhuo, et al.
Methods (2023) Vol. 221, pp. 73-81
Closed Access | Times Cited: 3
GGANet: A Model for the Prediction of MiRNA-Drug Resistance Based on Contrastive Learning and Global Attention
Zimai Zhang, Bo-Wei Zhao, Yu‐An Huang, et al.
Lecture notes in computer science (2024), pp. 263-275
Closed Access
Multi-View Multiattention Graph Learning With Stack Deep Matrix Factorization for circRNA-Drug Sensitivity Association Identification
Ning Ai, Haoliang Yuan, Yong Liang, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 12, pp. 7670-7682
Closed Access
Dual-Stream Heterogeneous Graph Neural Network Based on Zero-Shot Embeddings for Predicting miRNA-Drug Sensitivity
Peng Li, Wang Wang, Cheng Yang, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2024), pp. 1122-1128
Closed Access
DlncRNALoc: A discrete wavelet transform-based model for predicting lncRNA subcellular localization
Xiangzheng Fu, Yifan Chen, Sha Tian
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 12, pp. 20648-20667
Open Access | Times Cited: 1
StableDNAm: Towards a Stable and Efficient Model for Predicting DNA Methylation Based on Adaptive Feature Correction Learning
Linlin Zhuo, Rui Wang, Xiangzheng Fu, et al.
Research Square (Research Square) (2023)
Open Access
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