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:

Integration of pairwise neighbor topologies and miRNA family and cluster attributes for miRNA–disease association prediction
Ping Xuan, Dong Wang, Hui Cui, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 14

Showing 14 citing articles:

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

Predicting miRNA-disease associations based on graph attention networks and dual Laplacian regularized least squares
Wengang Wang, Hailin Chen
Briefings in Bioinformatics (2022) Vol. 23, Iss. 5
Closed Access | Times Cited: 23

SCPLPA: An miRNA–disease association prediction model based on spatial consistency projection and label propagation algorithm
Min Chen, Yingwei Deng, Zejun Li, et al.
Journal of Cellular and Molecular Medicine (2024) Vol. 28, Iss. 9
Open Access | Times Cited: 5

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

A survey of computational methods and databases for lncRNA-miRNA interaction prediction
Nan Sheng, Lan Huang, Ling Gao, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2023) Vol. 20, Iss. 5, pp. 2810-2826
Open Access | Times Cited: 10

ReHoGCNES-MDA: prediction of miRNA-disease associations using homogenous graph convolutional networks based on regular graph with random edge sampler
Yufang Zhang, Yanyi Chu, Shenggeng Lin, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 3

A knowledge-driven network for fine-grained relationship detection between miRNA and disease
Shengpeng Yu, Hong Wang, Tianyu Liu, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 3
Closed Access | Times Cited: 13

Multi-scale random walk driven adaptive graph neural network with dual-head neighboring node attention for CT segmentation
Ping Xuan, Xixi Wu, Hui Cui, et al.
Applied Soft Computing (2022) Vol. 133, pp. 109905-109905
Closed Access | Times Cited: 10

KATZNCP: a miRNA–disease association prediction model integrating KATZ algorithm and network consistency projection
Min Chen, Yingwei Deng, Zejun Li, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 4

Cascade branch migration-triggered strand displacement amplification for specific and sensitive detection of microRNA
Yaxing Xie, Yulei Hou, Yang Yu, et al.
Analytical Methods (2024) Vol. 16, Iss. 25, pp. 4116-4123
Closed Access | Times Cited: 1

RSANMDA: Resampling based subview attention network for miRNA-disease association prediction
Longfei Luo, Zhuokun Tan, Shunfang Wang
Methods (2024) Vol. 230, pp. 99-107
Closed Access | Times Cited: 1

Meta-Path Semantic and Global-Local Representation Learning Enhanced Graph Convolutional Model for Disease-Related miRNA Prediction
Ping Xuan, Xiuju Wang, Hui Cui, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 7, pp. 4306-4316
Closed Access

DMFVAE: miRNA-disease associations prediction based on deep matrix factorization method with variational autoencoder
Pi-Jing Wei, Qianqian Wang, Zhen Gao, et al.
Frontiers of Computer Science (2024) Vol. 18, Iss. 6
Open Access

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