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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:

SGANRDA: semi-supervised generative adversarial networks for predicting circRNA–disease associations
Lei Wang, Xin Yan, Zhu‐Hong You, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 5
Closed Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Demystifying the Role of Natural Language Processing (NLP) in Smart City Applications: Background, Motivation, Recent Advances, and Future Research Directions
Nemika Tyagi, Bharat Bhushan
Wireless Personal Communications (2023) Vol. 130, Iss. 2, pp. 857-908
Open Access | Times Cited: 35
Recent Advances in Generative Adversarial Networks for Gene Expression Data: A Comprehensive Review
Minhyeok Lee
Mathematics (2023) Vol. 11, Iss. 14, pp. 3055-3055
Open Access | Times Cited: 28
A computational model of circRNA-associated diseases based on a graph neural network: prediction and case studies for follow-up experimental validation
Mengting Niu, Chunyu Wang, Zhanguo Zhang, et al.
BMC Biology (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 13
LGCDA: Predicting CircRNA-Disease Association Based on Fusion of Local and Global Features
Wei Lan, Chunling Li, Qingfeng Chen, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2024) Vol. 21, Iss. 5, pp. 1413-1422
Closed Access | Times Cited: 12
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: 37
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
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 machine learning framework based on multi-source feature fusion for circRNA-disease association prediction
Lei Wang, Leon Wong, Zhengwei Li, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 5
Closed Access | Times Cited: 33
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: 20
A PiRNA-disease association model incorporating sequence multi-source information with graph convolutional networks
Lei Wang, Zhengwei Li, Jing Hu, et al.
Applied Soft Computing (2024) Vol. 157, pp. 111523-111523
Closed Access | Times Cited: 6
HCRNet: high-throughput circRNA-binding event identification from CLIP-seq data using deep temporal convolutional network
Yuning Yang, Zilong Hou, Yansong Wang, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 2
Closed Access | Times Cited: 23
NSECDA: Natural Semantic Enhancement for CircRNA-Disease Association Prediction
Lei Wang, Leon Wong, Zhu‐Hong You, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 10, pp. 5075-5084
Closed Access | Times Cited: 23
Circular RNAs in ferroptosis: regulation mechanism and potential clinical application in disease
Fei Li, Peifeng Li, Xiaodan Hao
Frontiers in Pharmacology (2023) Vol. 14
Open Access | Times Cited: 14
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
Natural Language Processing in Generative Adversarial Network
P. Dhivya, Anitha Karthikeyan, S. Pradeep, et al.
(2025), pp. 53-79
Closed Access
GEMDiff: a diffusion workflow bridges between normal and tumor gene expression states: a breast cancer case study
Xusheng Ai, Melissa C. Smith, F. Alex Feltus
Briefings in Bioinformatics (2025) Vol. 26, Iss. 2
Open Access
Attention-based generative adversarial networks improve prognostic outcome prediction of cancer from multimodal data
Mingguang Shi, Xuefeng Li, Mingna Li, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 6
Closed Access | Times Cited: 10
GA-ENs: A novel drug–target interactions prediction method by incorporating prior Knowledge Graph into dual Wasserstein Generative Adversarial Network with gradient penalty
Guodong Li, Weicheng Sun, Jinsheng Xu, et al.
Applied Soft Computing (2023) Vol. 139, pp. 110151-110151
Closed Access | Times Cited: 9
CRPGCN: predicting circRNA-disease associations using graph convolutional network based on heterogeneous network
Zhihao Ma, Zhufang Kuang, Lei Deng
BMC Bioinformatics (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 20
Construction and Bioinformatics Analysis of circRNA-miRNA-mRNA Network in Acute Myocardial Infarction
Jin Zhou, Shaolin He, Boyuan Wang, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 14
MDGF-MCEC: a multi-view dual attention embedding model with cooperative ensemble learning for CircRNA-disease association prediction
Qunzhuo Wu, Zhaohong Deng, Xiaoyong Pan, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 5
Closed Access | Times Cited: 13
NGCICM: A Novel Deep Learning-Based Method for Predicting circRNA-MiRNA Interactions
Zhihao Ma, Zhufang Kuang, Lei Deng
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2023) Vol. 20, Iss. 5, pp. 3080-3092
Closed Access | Times Cited: 7
IHGC-GAN: influence hypergraph convolutional generative adversarial network for risk prediction of late mild cognitive impairment based on imaging genetic data
Xia-an Bi, Lou Li, Zizheng Wang, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 3
Closed Access | Times Cited: 12
Function and Clinical Significance of Circular RNAs in Thyroid Cancer
Xuelin Yao, Qiu Zhang
Frontiers in Molecular Biosciences (2022) Vol. 9
Open Access | Times Cited: 11
MSPEDTI: Prediction of Drug–Target Interactions via Molecular Structure with Protein Evolutionary Information
Lei Wang, Leon Wong, Zhan‐Heng Chen, et al.
Biology (2022) Vol. 11, Iss. 5, pp. 740-740
Open Access | Times Cited: 9
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