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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:

DNRLMF-MDA:Predicting microRNA-Disease Associations Based on Similarities of microRNAs and Diseases
Cheng Yan, Jianxin Wang, Peng Ni, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2017) Vol. 16, Iss. 1, pp. 233-243
Closed Access | Times Cited: 70

Showing 1-25 of 70 citing articles:

iCircDA-MF: identification of circRNA-disease associations based on matrix factorization
Hang Wei, Bin Liu
Briefings in Bioinformatics (2019) Vol. 21, Iss. 4, pp. 1356-1367
Closed Access | Times Cited: 141
A graph auto-encoder model for miRNA-disease associations prediction
Zhengwei Li, Jiashu Li, Ru Nie, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 4
Closed Access | Times Cited: 96
DWNN-RLS: regularized least squares method for predicting circRNA-disease associations
Cheng Yan, Jianxin Wang, Fang‐Xiang Wu
BMC Bioinformatics (2018) Vol. 19, Iss. S19
Open Access | Times Cited: 93
MDA-GCNFTG: identifying miRNA-disease associations based on graph convolutional networks via graph sampling through the feature and topology graph
Yanyi Chu, Xuhong Wang, Qiuying Dai, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Closed Access | Times Cited: 62
Fusion of multi-source relationships and topology to infer lncRNA-protein interactions
Xinyu Zhang, Mingzhe Liu, Zhen Li, et al.
Molecular Therapy — Nucleic Acids (2024) Vol. 35, Iss. 2, pp. 102187-102187
Open Access | Times Cited: 13
LDGRNMF: LncRNA-disease associations prediction based on graph regularized non-negative matrix factorization
Mei-Neng Wang, Zhu‐Hong You, Lei Wang, et al.
Neurocomputing (2020) Vol. 424, pp. 236-245
Closed Access | Times Cited: 62
BRWMDA:Predicting microbe-disease associations based on similarities and bi-random walk on disease and microbe networks
Cheng Yan, Guihua Duan, Fang‐Xiang Wu, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2019) Vol. 17, Iss. 5, pp. 1595-1604
Closed Access | Times Cited: 60
Automatic ICD code assignment of Chinese clinical notes based on multilayer attention BiRNN
Ying Yu, Min Li, Liangliang Liu, et al.
Journal of Biomedical Informatics (2019) Vol. 91, pp. 103114-103114
Closed Access | Times Cited: 59
A comprehensive survey on computational methods of non-coding RNA and disease association prediction
Xiujuan Lei, Thosini Bamunu Mudiyanselage, Yuchen Zhang, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 4
Closed Access | Times Cited: 52
Predicting Drug-Drug Interactions Based on Integrated Similarity and Semi-Supervised Learning
Cheng Yan, Guihua Duan, Yayan Zhang, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2020) Vol. 19, Iss. 1, pp. 168-179
Closed Access | Times Cited: 50
SCMFMDA: Predicting microRNA-disease associations based on similarity constrained matrix factorization
Lei Li, Zhen Gao, Yutian Wang, et al.
PLoS Computational Biology (2021) Vol. 17, Iss. 7, pp. e1009165-e1009165
Open Access | Times Cited: 43
PDMDA: predicting deep-level miRNA–disease associations with graph neural networks and sequence features
Cheng Yan, Guihua Duan, Na Li, et al.
Bioinformatics (2022) Vol. 38, Iss. 8, pp. 2226-2234
Open Access | Times Cited: 27
Predicting miRNA-Disease Associations From miRNA-Gene-Disease Heterogeneous Network With Multi-Relational Graph Convolutional Network Model
Wei Peng, Zicheng Che, Wei Dai, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022) Vol. 20, Iss. 6, pp. 3363-3375
Closed Access | Times Cited: 27
MGCNSS: miRNA–disease association prediction with multi-layer graph convolution and distance-based negative sample selection strategy
Zhen Tian, Chenguang Han, Lewen Xu, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 5
Constructing Disease Similarity Networks Based on Disease Module Theory
Peng Ni, Jianxin Wang, Ping Zhong, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2018) Vol. 17, Iss. 3, pp. 906-915
Closed Access | Times Cited: 42
Microbes and complex diseases: from experimental results to computational models
Yan Zhao, Chun-Chun Wang, Xing Chen
Briefings in Bioinformatics (2020) Vol. 22, Iss. 3
Closed Access | Times Cited: 36
Multivariate Information Fusion With Fast Kernel Learning to Kernel Ridge Regression in Predicting LncRNA-Protein Interactions
Cong Shen, Yijie Ding, Jijun Tang, et al.
Frontiers in Genetics (2019) Vol. 9
Open Access | Times Cited: 35
MLMD: Metric Learning for Predicting MiRNA-Disease Associations
Jihwan Ha, Chihyun Park
IEEE Access (2021) Vol. 9, pp. 78847-78858
Open Access | Times Cited: 30
Hyperbolic matrix factorization improves prediction of drug-target associations
Aleksandar Poleksić
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 11
PPDAMEGCN: Predicting piRNA‐Disease Associations Based on Multi‐Edge Type Graph Convolutional Network
Yongqiang Peng, S. Chu, Xindi Huang, et al.
IET Systems Biology (2025) Vol. 19, Iss. 1
Open Access
DDIGIP: predicting drug-drug interactions based on Gaussian interaction profile kernels
Cheng Yan, Guihua Duan, Yi Pan, et al.
BMC Bioinformatics (2019) Vol. 20, Iss. S15
Open Access | Times Cited: 33
MDA-CF: Predicting MiRNA-Disease associations based on a cascade forest model by fusing multi-source information
Qiuying Dai, Yanyi Chu, Zhiqi Li, et al.
Computers in Biology and Medicine (2021) Vol. 136, pp. 104706-104706
Closed Access | Times Cited: 26
SADR: Self-supervised Graph Learning with Adaptive Denoising for Drug Repositioning
Sichen Jin, Yijia Zhang, Huimin Yu, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2024) Vol. 21, Iss. 2, pp. 265-277
Closed Access | Times Cited: 3
ReHoGCNES-MDA: prediction of miRNA-disease associations using homogenous graph convolutional networks based on regular graph with random edge sampler
Yufang Zhang, Yanyi Chu, Shenggeng Lin, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 3
MCHMDA:Predicting Microbe-Disease Associations Based on Similarities and Low-Rank Matrix Completion
Cheng Yan, Guihua Duan, Fang‐Xiang Wu, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2019) Vol. 18, Iss. 2, pp. 611-620
Open Access | Times Cited: 28
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