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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:

Prediction of miRNA-disease associations in microbes based on graph convolutional networks and autoencoders
Qingquan Liao, Yuxiang Ye, Zihang Li, et al.
Frontiers in Microbiology (2023) Vol. 14
Open Access | Times Cited: 12

Showing 12 citing articles:

Predicting noncoding RNA and disease associations using multigraph contrastive learning
Si-Lin Sun, Yi Jiang, Jun-Ping Yang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
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
Subgraph Topology and Dynamic Graph Topology Enhanced Graph Learning and Pairwise Feature Context Relationship Integration for Predicting Disease-Related miRNAs
Ping Xuan, Xiaoying Qi, Sentao Chen, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
HGSMDA: miRNA–Disease Association Prediction Based on HyperGCN and Sørensen-Dice Loss
Zhenghua Chang, Rong Zhu, Jin‐Xing Liu, et al.
Non-Coding RNA (2024) Vol. 10, Iss. 1, pp. 9-9
Open Access | Times Cited: 4
Identifying Associations between Small Nucleolar RNAs and Diseases via Graph Convolutional Network and Attention Mechanism
S. Liu, Wen Zhu, Peng Wang, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 12, pp. 7647-7658
Closed Access | Times Cited: 1
GSASVM-RBPs: Predicting miRNA-binding protein sites with aggregated multigraph neural networks and an SVM
T. J. Zhang, Zihao Qi, Shikai Qiao, et al.
Network Modeling Analysis in Health Informatics and Bioinformatics (2024) Vol. 13, Iss. 1
Closed Access | Times Cited: 1
An Exploratory Review on Recent Computational Approaches Devised for MiRNA Disease Association Prediction
S. Sujamol, E. R. Vimina, U. Krishnakumar
Current Bioinformatics (2024) Vol. 20, Iss. 2, pp. 120-138
Closed Access
Exploring the Capabilities of Graph Convolutional Networks for Cardiac Arrest Prediction
J. Riyazulla Rahman, Trapty Agarwal, M. N. Nachappa, et al.
Lecture notes in electrical engineering (2024), pp. 145-151
Closed Access
MiRNA-Disease Associations Prediction Based on Improving Feature Vectors Quality Combined with Highly Reliable Negative Samples Selection
Nguyen Phuc Xuan Quynh, Tran Hoai Nhan, Lê Anh Phương
Lecture notes in networks and systems (2024), pp. 3-15
Closed Access
MDformer: A transformer-based method for predicting miRNA-Disease associations using multi-source feature fusion and maximal meta-path instances encoding
Benzhi Dong, Weidong Sun, Dali Xu, et al.
Computers in Biology and Medicine (2023) Vol. 167, pp. 107585-107585
Closed Access | Times Cited: 1
Complementary feature learning across multiple heterogeneous networks and multimodal attribute learning for predicting disease-related miRNAs
Ping Xuan, Jinshan Xiu, Hui Cui, et al.
iScience (2023) Vol. 27, Iss. 2, pp. 108639-108639
Open Access
Prediction of miRNA-Disease Associations Based on Stacked Autoencoders and Extremely Randomized Trees
Lihui Wang, Daying Lu, Jianru Wang, et al.
2022 IEEE 10th Joint International Information Technology and Artificial Intelligence Conference (ITAIC) (2023), pp. 640-645
Closed Access
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