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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:

Circular RNAs and complex diseases: from experimental results to computational models
Chun-Chun Wang, Chendi Han, Qi Zhao, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Open Access | Times Cited: 136

Showing 1-25 of 136 citing articles:

A deep learning method for predicting metabolite–disease associations via graph neural network
Feiyue Sun, Jianqiang Sun, Qi Zhao
Briefings in Bioinformatics (2022) Vol. 23, Iss. 4
Closed Access | Times Cited: 193
Predicting the potential human lncRNA–miRNA interactions based on graph convolution network with conditional random field
Wenya Wang, Li Zhang, Jianqiang Sun, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 6
Closed Access | Times Cited: 186
Investigating cardiotoxicity related with hERG channel blockers using molecular fingerprints and graph attention mechanism
Tianyi Wang, Jianqiang Sun, Qi Zhao
Computers in Biology and Medicine (2022) Vol. 153, pp. 106464-106464
Closed Access | Times Cited: 161
Predicting metabolite–disease associations based on auto-encoder and non-negative matrix factorization
Hongyan Gao, Jianqiang Sun, Yukun Wang, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 5
Closed Access | Times Cited: 100
Updated review of advances in microRNAs and complex diseases: taxonomy, trends and challenges of computational models
Huang Li, Li Zhang, Xing Chen
Briefings in Bioinformatics (2022) Vol. 23, Iss. 5
Closed Access | Times Cited: 89
Identification of miRNA–disease associations via deep forest ensemble learning based on autoencoder
Wei Liu, Hui Lin, Huang Li, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 3
Closed Access | Times Cited: 87
DCAMCP: A deep learning model based on capsule network and attention mechanism for molecular carcinogenicity prediction
Zhe Chen, Li Zhang, Jianqiang Sun, et al.
Journal of Cellular and Molecular Medicine (2023) Vol. 27, Iss. 20, pp. 3117-3126
Open Access | Times Cited: 79
scAAGA: Single cell data analysis framework using asymmetric autoencoder with gene attention
Rui Meng, Shuaidong Yin, Jianqiang Sun, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107414-107414
Closed Access | Times Cited: 68
Predicting CircRNA-Disease Associations via Feature Convolution Learning With Heterogeneous Graph Attention Network
Peng Li, Yang Cheng, Yi‐Fan Chen, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 6, pp. 3072-3082
Closed Access | Times Cited: 41
Multi-task aquatic toxicity prediction model based on multi-level features fusion
Xin Yang, Jianqiang Sun, Bingyu Jin, et al.
Journal of Advanced Research (2024)
Open Access | Times Cited: 26
Hierarchical graph attention network for miRNA-disease association prediction
Zhengwei Li, Tangbo Zhong, De-Shuang Huang, et al.
Molecular Therapy (2022) Vol. 30, Iss. 4, pp. 1775-1786
Open Access | Times Cited: 56
Pre-training graph neural networks for link prediction in biomedical networks
Yahui Long, Min Wu, Yong Liu, et al.
Bioinformatics (2022) Vol. 38, Iss. 8, pp. 2254-2262
Open Access | Times Cited: 54
Prediction of potential miRNA–disease associations based on stacked autoencoder
Chun-Chun Wang, Tianhao Li, Huang Li, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 2
Closed Access | Times Cited: 50
Predicting potential interactions between lncRNAs and proteins via combined graph auto-encoder methods
Jingxuan Zhao, Jianqiang Sun, Stella C. Shuai, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Closed Access | Times Cited: 43
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
Predicting drug-induced liver injury using graph attention mechanism and molecular fingerprints
Jifeng Wang, Li Zhang, Jianqiang Sun, et al.
Methods (2023) Vol. 221, pp. 18-26
Open Access | Times Cited: 35
LncRNA–miRNA interactions prediction based on meta‐path similarity and Gaussian kernel similarity
Jingxuan Xie, Peng Xu, Lin Ye, et al.
Journal of Cellular and Molecular Medicine (2024) Vol. 28, Iss. 19
Open Access | Times Cited: 10
An Encoding-Decoding Framework Based on CNN for circRNA-RBP Binding Sites Prediction
Yajing Guo, Xiujuan Lei, Yi Pan
Chinese Journal of Electronics (2024) Vol. 33, Iss. 1, pp. 256-263
Open Access | Times Cited: 9
iGRLCDA: identifying circRNA–disease association based on graph representation learning
Han-Yuan Zhang, Lei Wang, Zhu‐Hong You, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 3
Closed Access | Times Cited: 36
Deep learning models for disease-associated circRNA prediction: a review
Yaojia Chen, Jiacheng Wang, Chuyu Wang, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 6
Closed Access | Times Cited: 36
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: 31
Predicting lncRNA–disease associations based on combining selective similarity matrix fusion and bidirectional linear neighborhood label propagation
Guobo Xie, Rui-Bin Chen, Zhiyi Lin, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 1
Closed Access | Times Cited: 18
Collaborative deep learning improves disease-related circRNA prediction based on multi-source functional information
Yongtian Wang, Xinmeng Liu, Yewei Shen, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 2
Closed Access | Times Cited: 18
Drug–drug interaction prediction: databases, web servers and computational models
Yan Zhao, Jun Yin, Li Zhang, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 17
Cuproptosis-related lncRNA signature for prognostic prediction in patients with acute myeloid leukemia
Yidong Zhu, Jun He, Zihua Li, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 16
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