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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:

Line graph attention networks for predicting disease-associated Piwi-interacting RNAs
Kai Zheng, Xinlu Zhang, Lei Wang, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 6
Closed Access | Times Cited: 11

Showing 11 citing articles:

Graph Attention Networks: A Comprehensive Review of Methods and Applications
Aristidis G. Vrahatis, Konstantinos Lazaros, Sotiris Kotsiantis
Future Internet (2024) Vol. 16, Iss. 9, pp. 318-318
Open Access | Times Cited: 11
Biolinguistic graph fusion model for circRNA–miRNA association prediction
Lu-Xiang Guo, Lei Wang, Zhu‐Hong You, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 9
A PiRNA-disease association model incorporating sequence multi-source information with graph convolutional networks
Lei Wang, Zhengwei Li, Jing Hu, et al.
Applied Soft Computing (2024) Vol. 157, pp. 111523-111523
Closed Access | Times Cited: 6
DeepCMI: a graph-based model for accurate prediction of circRNA–miRNA interactions with multiple information
Yue-Chao Li, Zhu‐Hong You, Chang-Qing Yu, et al.
Briefings in Functional Genomics (2023) Vol. 23, Iss. 3, pp. 276-285
Closed Access | Times Cited: 13
BEROLECMI: a novel prediction method to infer circRNA-miRNA interaction from the role definition of molecular attributes and biological networks
Xinfei Wang, Chang-Qing Yu, Zhu‐Hong You, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 5
ETGPDA: identification of piRNA-disease associations based on embedding transformation graph convolutional network
Xianghan Meng, Junliang Shang, Daohui Ge, et al.
BMC Genomics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 7
PUTransGCN: identification of piRNA–disease associations based on attention encoding graph convolutional network and positive unlabelled learning
Qiuhao Chen, Liyuan Zhang, Yaojia Liu, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 2
MRDPDA: A multi‐Laplacian regularized deepFM model for predicting piRNA‐disease associations
Yajun Liu, Fan Zhang, Yulian Ding, et al.
Journal of Cellular and Molecular Medicine (2024) Vol. 28, Iss. 17
Open Access | Times Cited: 2
Graph Neural Networks in Cancer and Oncology Research: Emerging and Future Trends
Grigoriy Gogoshin, Andréi S. Rodin
Cancers (2023) Vol. 15, Iss. 24, pp. 5858-5858
Open Access | Times Cited: 6
Modeling functional connectivity changes during an auditory language task using line graph neural networks
Stein F. Acker, Junwu Liang, Ninet Sinaii, et al.
Frontiers in Computational Neuroscience (2024) Vol. 18
Open Access
Identification of Disease-Associated MicroRNAs Via Locality-Constrained Linear Coding-Based Ensemble Learning
Yi Shen, Ying-Lian Gao, Juan Wang, et al.
Journal of Computational Biology (2023) Vol. 30, Iss. 8, pp. 926-936
Closed Access
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