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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:

MicroRNAs and complex diseases: from experimental results to computational models
Xing Chen, Di Xie, Qi Zhao, et al.
Briefings in Bioinformatics (2017) Vol. 20, Iss. 2, pp. 515-539
Closed Access | Times Cited: 581

Showing 26-50 of 581 citing articles:

Novel Human miRNA-Disease Association Inference Based on Random Forest
Xing Chen, Chun-Chun Wang, Jun Yin, et al.
Molecular Therapy — Nucleic Acids (2018) Vol. 13, pp. 568-579
Open Access | Times Cited: 118
Computational Methods for Identifying Similar Diseases
Liang Cheng, Hengqiang Zhao, Pingping Wang, et al.
Molecular Therapy — Nucleic Acids (2019) Vol. 18, pp. 590-604
Open Access | Times Cited: 113
Convolutional neural network-based annotation of bacterial type IV secretion system effectors with enhanced accuracy and reduced false discovery
Jiajun Hong, Yongchao Luo, Minjie Mou, et al.
Briefings in Bioinformatics (2019) Vol. 21, Iss. 5, pp. 1825-1836
Closed Access | Times Cited: 107
Integrating Bipartite Network Projection and KATZ Measure to Identify Novel CircRNA-Disease Associations
Qi Zhao, Yingjuan Yang, Guofei Ren, et al.
IEEE Transactions on NanoBioscience (2019) Vol. 18, Iss. 4, pp. 578-584
Closed Access | Times Cited: 98
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
Evaluation of methodologies for microRNA biomarker detection by next generation sequencing.

(2018) Vol. 15, Iss. 8, pp. 1133-1145
Closed Access | Times Cited: 94
Early Detection of Alzheimer's Disease with Blood Plasma Proteins Using Support Vector Machines
Chima Eke, Emmanuel Jammeh, Xinzhong Li, et al.
IEEE Journal of Biomedical and Health Informatics (2020) Vol. 25, Iss. 1, pp. 218-226
Open Access | Times Cited: 94
Applications of Machine Learning Methods in Drug Toxicity Prediction
Li Zhang, Hui Zhang, Haixin Ai, et al.
Current Topics in Medicinal Chemistry (2018) Vol. 18, Iss. 12, pp. 987-997
Closed Access | Times Cited: 93
Anticancer Drug Response Prediction in Cell Lines Using Weighted Graph Regularized Matrix Factorization
Na‐Na Guan, Yan Zhao, Chun-Chun Wang, et al.
Molecular Therapy — Nucleic Acids (2019) Vol. 17, pp. 164-174
Open Access | Times Cited: 86
IRWNRLPI: Integrating Random Walk and Neighborhood Regularized Logistic Matrix Factorization for lncRNA-Protein Interaction Prediction
Qi Zhao, Yue Zhang, Huan Hu, et al.
Frontiers in Genetics (2018) Vol. 9
Open Access | Times Cited: 84
Prediction of Potential Disease-Associated MicroRNAs by Using Neural Networks
Xiangxiang Zeng, Wen Wang, Gaoshan Deng, et al.
Molecular Therapy — Nucleic Acids (2019) Vol. 16, pp. 566-575
Open Access | Times Cited: 79
Predicting potential miRNA-disease associations by combining gradient boosting decision tree with logistic regression
S. Zhou, Shulin Wang, Qi Wu, et al.
Computational Biology and Chemistry (2020) Vol. 85, pp. 107200-107200
Closed Access | Times Cited: 79
Dynamic Development of Fecal Microbiome During the Progression of Diabetes Mellitus in Zucker Diabetic Fatty Rats
Wen Zhou, Huiying Xu, Libin Zhan, et al.
Frontiers in Microbiology (2019) Vol. 10
Open Access | Times Cited: 76
Construct a circRNA/miRNA/mRNA regulatory network to explore potential pathogenesis and therapy options of clear cell renal cell carcinoma
Shuheng Bai, Yinying Wu, Yanli Yan, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 74
GANLDA: Graph attention network for lncRNA-disease associations prediction
Wei Lan, WU Xi-min, Qingfeng Chen, et al.
Neurocomputing (2021) Vol. 469, pp. 384-393
Closed Access | Times Cited: 70
Predicting drug–target binding affinity through molecule representation block based on multi-head attention and skip connection
Li Zhang, Chun-Chun Wang, Xing Chen
Briefings in Bioinformatics (2022) Vol. 23, Iss. 6
Closed Access | Times Cited: 66
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
Predicting potential small molecule–miRNA associations based on bounded nuclear norm regularization
Xing Chen, Chi Zhou, Chun-Chun Wang, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Closed Access | Times Cited: 60
SMALF: miRNA-disease associations prediction based on stacked autoencoder and XGBoost
Dayun Liu, Yibiao Huang, Wenjuan Nie, et al.
BMC Bioinformatics (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 56
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
RNMFLP: Predicting circRNA–disease associations based on robust nonnegative matrix factorization and label propagation
Peng Li, Yang Cheng, Huang Li, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 5
Closed 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
gutMDisorder v2.0: a comprehensive database for dysbiosis of gut microbiota in phenotypes and interventions
Changlu Qi, Yiting Cai, Kai Qian, et al.
Nucleic Acids Research (2022) Vol. 51, Iss. D1, pp. D717-D722
Open Access | Times Cited: 45
TACOS: a novel approach for accurate prediction of cell-specific long noncoding RNAs subcellular localization
Young-Jun Jeon, Md Mehedi Hasan, Hyun Woo Park, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 4
Open Access | Times Cited: 42

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