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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:

A novel circRNA-miRNA association prediction model based on structural deep neural network embedding
Lu-Xiang Guo, Zhu‐Hong You, Lei Wang, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 5
Closed Access | Times Cited: 33

Showing 1-25 of 33 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
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
SPRDA: a link prediction approach based on the structural perturbation to infer disease-associated Piwi-interacting RNAs
Kai Zheng, Xinlu Zhang, Lei Wang, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Open Access | Times Cited: 35
A feature extraction method based on noise reduction for circRNA-miRNA interaction prediction combining multi-structure features in the association networks
Xin-Fei Wang, Chang-Qing Yu, Zhu‐Hong You, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 3
Closed Access | Times Cited: 21
KS-CMI: A circRNA-miRNA interaction prediction method based on the signed graph neural network and denoising autoencoder
Xin-Fei Wang, Chang-Qing Yu, Zhu‐Hong You, et al.
iScience (2023) Vol. 26, Iss. 8, pp. 107478-107478
Open Access | Times Cited: 20
AMDECDA: Attention Mechanism Combined With Data Ensemble Strategy for Predicting CircRNA-Disease Association
Lei Wang, Leon Wong, Zhu‐Hong You, et al.
IEEE Transactions on Big Data (2023) Vol. 10, Iss. 4, pp. 320-329
Closed Access | Times Cited: 19
BCMCMI: A Fusion Model for Predicting circRNA-miRNA Interactions Combining Semantic and Meta-path
Meng-Meng Wei, Chang-Qing Yu, Liping Li, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 16, pp. 5384-5394
Closed Access | Times Cited: 18
Improving prediction of drug-target interactions based on fusing multiple features with data balancing and feature selection techniques
Hakimeh Khojasteh, Jamshid Pirgazi, Ali Ghanbari Sorkhi
PLoS ONE (2023) Vol. 18, Iss. 8, pp. e0288173-e0288173
Open Access | Times Cited: 16
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
Xin-Fei Wang, Chang-Qing Yu, Zhu‐Hong You, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 5
GSPHI: A novel deep learning model for predicting phage-host interactions via multiple biological information
Jie Pan, Wencai You, Xiaoliang Lü, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 21, pp. 3404-3413
Open Access | Times Cited: 12
An efficient circRNA-miRNA interaction prediction model by combining biological text mining and wavelet diffusion-based sparse network structure embedding
Xin-Fei Wang, Chang-Qing Yu, Zhu‐Hong You, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107421-107421
Closed Access | Times Cited: 11
Identification of circRNA‐disease associations via multi‐model fusion and ensemble learning
Jing Yang, Xiujuan Lei, Fa Zhang
Journal of Cellular and Molecular Medicine (2024) Vol. 28, Iss. 7
Open Access | Times Cited: 4
DGCLCMI: a deep graph collaboration learning method to predict circRNA-miRNA interactions
Chao Cao, Mengli Li, Chunyu Wang, et al.
BMC Biology (2025) Vol. 23, Iss. 1
Open Access
Prediction of circRNA–miRNA Interaction Using Graph Attention Network Based on Molecular Attributes and Biological Networks
Abdullah Almotilag, Murtada K. Elbashir, Mahmood A. Mahmood, et al.
Processes (2025) Vol. 13, Iss. 5, pp. 1318-1318
Open Access
PCDA-HNMP: Predicting circRNA-disease association using heterogeneous network and meta-path
Lei Chen, Xiaoyu Zhao
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 12, pp. 20553-20575
Open Access | Times Cited: 9
How natural language processing derived techniques are used on biological data: a systematic review
Emmanouil D. Oikonomou, Petros Karvelis, Νικόλαος Γιαννακέας, et al.
Network Modeling Analysis in Health Informatics and Bioinformatics (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 3
Identifying circRNA-miRNA interaction based on multi-biological interaction fusion
Dunwei Yao, Lidan Nong, Minzhen Qin, et al.
Frontiers in Microbiology (2022) Vol. 13
Open Access | Times Cited: 15
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
BJLD-CMI: a predictive circRNA-miRNA interactions model combining multi-angle feature information
Yixin Zhao, Chang-Qing Yu, Liping Li, et al.
Frontiers in Genetics (2024) Vol. 15
Open Access | Times Cited: 2
Machine Learning Strategies in MicroRNA Research: Bridging Genome to Phenome
Sonet Daniel Thomas, Krithika Vijayakumar, Levin John, et al.
OMICS A Journal of Integrative Biology (2024) Vol. 28, Iss. 5, pp. 213-233
Closed Access | Times Cited: 2
A multichannel graph neural network based on multisimilarity modality hypergraph contrastive learning for predicting unknown types of cancer biomarkers
Xin-Fei Wang, Lan Huang, Yan Wang, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Open Access | Times Cited: 2
LPIH2V: LncRNA-protein interactions prediction using HIN2Vec based on heterogeneous networks model
Meng-Meng Wei, Chang-Qing Yu, Liping Li, et al.
Frontiers in Genetics (2023) Vol. 14
Open Access | Times Cited: 5
Graph Reasoning Method Based on Affinity Identification and Representation Decoupling for Predicting lncRNA-Disease Associations
Shuai Wang, Cui Hui, Tiangang Zhang, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 21, pp. 6947-6958
Closed Access | Times Cited: 5
A Hierarchical GNN Across Semantic and Topological Domains for Predicting circRNA-microRNA Interactions
Ji-Ren Zhou, Boya Ji, Rui Niu, et al.
Knowledge-Based Systems (2024), pp. 112549-112549
Closed Access | Times Cited: 1
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