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:
Predicting circRNA-miRNA interactions utilizing transformer-based RNA sequential learning and high-order proximity preserved embedding
Ji-Ren Zhou, Xin-Fei Wang, Rui Niu, et al.
iScience (2023) Vol. 27, Iss. 1, pp. 108592-108592
Open Access | Times Cited: 8
Ji-Ren Zhou, Xin-Fei Wang, Rui Niu, et al.
iScience (2023) Vol. 27, Iss. 1, pp. 108592-108592
Open Access | Times Cited: 8
Showing 8 citing articles:
Likelihood-based feature representation learning combined with neighborhood information for predicting circRNA–miRNA associations
Lu-Xiang Guo, Lei Wang, Zhu‐Hong You, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 16
Lu-Xiang Guo, Lei Wang, Zhu‐Hong You, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 16
Big data and deep learning for RNA biology
Hyeonseo Hwang, Hyeonseong Jeon, Nagyeong Yeo, et al.
Experimental & Molecular Medicine (2024) Vol. 56, Iss. 6, pp. 1293-1321
Open Access | Times Cited: 11
Hyeonseo Hwang, Hyeonseong Jeon, Nagyeong Yeo, et al.
Experimental & Molecular Medicine (2024) Vol. 56, Iss. 6, pp. 1293-1321
Open Access | Times Cited: 11
RNA Sequence Analysis Landscape: A Comprehensive Review of Task Types, Databases, Datasets, Word Embedding Methods, and Language Models
Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Tayyaba Asif, et al.
Heliyon (2025) Vol. 11, Iss. 2, pp. e41488-e41488
Open Access
Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Tayyaba Asif, et al.
Heliyon (2025) Vol. 11, Iss. 2, pp. e41488-e41488
Open Access
RBNE-CMI: An Efficient Method for Predicting circRNA-miRNA Interactions via Multiattribute Incomplete Heterogeneous Network Embedding
Chang-Qing Yu, Xin-Fei Wang, Liping Li, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 18, pp. 7163-7172
Closed Access | Times Cited: 2
Chang-Qing Yu, Xin-Fei Wang, Liping Li, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 18, pp. 7163-7172
Closed Access | Times Cited: 2
Advancing miRNA cancer research through artificial intelligence: from biomarker discovery to therapeutic targeting
Raghu Aswathy, Vicky Chalos, Kanagaraj Suganya, et al.
Medical Oncology (2024) Vol. 42, Iss. 1
Closed Access | Times Cited: 2
Raghu Aswathy, Vicky Chalos, Kanagaraj Suganya, et al.
Medical Oncology (2024) Vol. 42, Iss. 1
Closed Access | Times Cited: 2
MSTCRB: Predicting circRNA-RBP interaction by extracting multi-scale features based on transformer and attention mechanism
Yun Zhou, Haoyu Cui, Dong Liu, et al.
International Journal of Biological Macromolecules (2024) Vol. 278, pp. 134805-134805
Closed Access
Yun Zhou, Haoyu Cui, Dong Liu, et al.
International Journal of Biological Macromolecules (2024) Vol. 278, pp. 134805-134805
Closed Access
A multi-task prediction method based on neighborhood structure embedding and signed graph representation learning to infer the relationship between circRNA, miRNA, and cancer
Lan Huang, Xin-Fei Wang, Yan Wang, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Open Access
Lan Huang, Xin-Fei Wang, Yan Wang, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Open Access
Cross‐modal embedding integrator for disease‐gene/protein association prediction using a multi‐head attention mechanism
Mun Young Chang, Ji‐Young Ahn, Bong Gyun Kang, et al.
Pharmacology Research & Perspectives (2024) Vol. 12, Iss. 6
Closed Access
Mun Young Chang, Ji‐Young Ahn, Bong Gyun Kang, et al.
Pharmacology Research & Perspectives (2024) Vol. 12, Iss. 6
Closed Access
