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:

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

Showing 10 citing articles:

Multi-task prediction-based graph contrastive learning for inferring the relationship among lncRNAs, miRNAs and diseases
Nan Sheng, Yan Wang, Lan Huang, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 5
Closed Access | Times Cited: 24

Prediction of lncRNA-miRNA interaction based on sequence and structural information of potential binding site
Dan-Yang Qi, Chengyan Wu, Zhihong Hao, et al.
International Journal of Biological Macromolecules (2025), pp. 142255-142255
Closed Access

Update on functional analysis of long non-coding RNAs in common crops
Aijing Zhang, Wenxuan Pi, Yashuo Wang, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 1

Pivotal Role of miRNA–lncRNA Interactions in Human Diseases
Farkhondeh Pooresmaeil, Seifollah Azadi, Behnam Hasannejad-Asl, et al.
Molecular Biotechnology (2024)
Closed Access | Times Cited: 1

Plant lncRNA-miRNA Interaction Prediction Based on Counterfactual Heterogeneous Graph Attention Network
Yu He, Zilan Ning, Xinghui Zhu, et al.
Interdisciplinary Sciences Computational Life Sciences (2024)
Closed Access

Multi-Omics Mining of lncRNAs with Biological and Clinical Relevance in Cancer
Iván Salido-Guadarrama, Sandra Romero‐Córdoba, Bertha Rueda-Zarazúa
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 23, pp. 16600-16600
Open Access | Times Cited: 1

Contrastive self-supervised graph convolutional network for detecting the relationship among lncRNAs, miRNAs, and diseases
Nan Sheng, Lan Huang, Yan Wang, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023), pp. 622-629
Closed Access

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