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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:

MPCLCDA: predicting circRNA–disease associations by using automatically selected meta-path and contrastive learning
Wei Liu, Ting Tang, Xu Lu, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Drug repositioning based on tripartite cross-network embedding and graph convolutional network
Pan Zeng, Bofei Zhang, Aohang Liu, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 124152-124152
Closed Access | Times Cited: 7
MolFeSCue: enhancing molecular property prediction in data-limited and imbalanced contexts using few-shot and contrastive learning
Ruochi Zhang, Chao Wu, Qian Yang, et al.
Bioinformatics (2024) Vol. 40, Iss. 4
Open Access | Times Cited: 5
Accurate identification of snoRNA targets using variational graph autoencoder to advance the redevelopment of traditional medicines
Zhina Wang, Yishan Chen, Hongming Ma, et al.
Frontiers in Pharmacology (2025) Vol. 15
Open Access
CDPMF-DDA: contrastive deep probabilistic matrix factorization for drug-disease association prediction
Xianfang Tang, Yawen Hou, Yajie Meng, et al.
BMC Bioinformatics (2025) Vol. 26, Iss. 1
Open Access
SGCLDGA: unveiling drug–gene associations through simple graph contrastive learning
Yanhao Fan, Che Zhang, Xiaowen Hu, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 4
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
metaCDA: A Novel Framework for CircRNA-Driven Drug Discovery Utilizing Adaptive Aggregation and Meta-Knowledge Learning
Peng Li, Huaping Li, Sisi Yuan, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
GraphTar: applying word2vec and graph neural networks to miRNA target prediction
Jan Przybyszewski, M. Malawski, Sabina Lichołai
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 7
MHESMMR: a multilevel model for predicting the regulation of miRNAs expression by small molecules
Yong-Jian Guan, Chang-Qing Yu, Liping Li, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 2
Identification and validation of prognostic signature genes of bladder cancer by integrating methylation and transcriptomic analysis
Dipankor Chatterjee, Sadia Islam Mou, Tamanna Sultana, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
SEnSCA: Identifying possible ligand‐receptor interactions and its application in cell–cell communication inference
Liqian Zhou, Xiwen Wang, Lihong Peng, et al.
Journal of Cellular and Molecular Medicine (2024) Vol. 28, Iss. 9
Open Access | Times Cited: 2
MPHGCL-DDI: Meta-Path-Based Heterogeneous Graph Contrastive Learning for Drug-Drug Interaction Prediction
Baofang Hu, Zhenmei Yu, Mingke Li
Molecules (2024) Vol. 29, Iss. 11, pp. 2483-2483
Open Access | Times Cited: 2
StableDNAm: towards a stable and efficient model for predicting DNA methylation based on adaptive feature correction learning
Linlin Zhuo, Rui Wang, Xiangzheng Fu, et al.
BMC Genomics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 6
scDMAE: A Generative Denoising Model Adopted Mask Strategy for scRNA-Seq Data Recovery
Wei Liu, Youze Pan, Zhijie Teng, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 6, pp. 3772-3780
Closed Access | Times Cited: 1
mRNA-CLA: An interpretable deep learning approach for predicting mRNA subcellular localization
Yi‐Fan Chen, Zhenya Du, Xuanbai Ren, et al.
Methods (2024) Vol. 227, pp. 17-26
Closed Access | Times Cited: 1
CVGAE: A Self-Supervised Generative Method for Gene Regulatory Network Inference Using Single-Cell RNA Sequencing Data
Wei Liu, Zhijie Teng, Zejun Li, et al.
Interdisciplinary Sciences Computational Life Sciences (2024) Vol. 16, Iss. 4, pp. 990-1004
Closed Access | Times Cited: 1
Multi-source data integration for explainable miRNA-driven drug discovery
Zhen Li, Qingquan Liao, Wenbin Liu, et al.
Future Generation Computer Systems (2024) Vol. 160, pp. 109-119
Closed Access | Times Cited: 1
CircRNA-based therapeutics: Current opinions and clinical potential
Hanyuan Liu, Xuelin Yao, Ying Zhou, et al.
The Innovation Medicine (2024) Vol. 2, Iss. 3, pp. 100081-100081
Closed Access | Times Cited: 1
Inferring gene regulatory networks with graph convolutional network based on causal feature reconstruction
Ruirui Ji, Yi Geng, Xin Quan
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Exploring ceRNA networks for key biomarkers in breast cancer subtypes and immune regulation
Alireza Shariatmadar Taleghani, Yasaman Zohrab Beigi, Fatemeh Zare‐Mirakabad, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 4
Gamma-glutamyl transferase and calculus of kidney incidence: a Mendelian randomization study
Peizhe Li, Yuewen Pang, Shuang He, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 3
SGAE-MDA: Exploring the MiRNA-disease associations in herbal medicines based on semi-supervised graph autoencoder
Lei Xu, Xiangzheng Fu, Linlin Zhuo, et al.
Methods (2023) Vol. 221, pp. 73-81
Closed Access | Times Cited: 3
Predicting potential lncRNA biomarkers for lung cancer and neuroblastoma based on an ensemble of a deep neural network and LightGBM
Zhenguo Su, Lu Huihui, Yan Wu, et al.
Frontiers in Genetics (2023) Vol. 14
Open Access | Times Cited: 2
HRGCNLDA: Forecasting of lncRNA-disease association based on hierarchical refinement graph convolutional neural network
Peng Li, Yujie Yang, Yang Cheng, et al.
Mathematical Biosciences & Engineering (2024) Vol. 21, Iss. 4, pp. 4814-4834
Open Access
Examining the evidence for mutual modulation between m6A modification and circular RNAs: current knowledge and future prospects
Xiaozhu Tang, Mengjie Guo, Yuanjiao Zhang, et al.
Journal of Experimental & Clinical Cancer Research (2024) Vol. 43, Iss. 1
Open Access
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