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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 1-25 of 581 citing articles:

Trends in the development of miRNA bioinformatics tools
Liang Chen, Liisa Heikkinen, Changliang Wang, et al.
Briefings in Bioinformatics (2018) Vol. 20, Iss. 5, pp. 1836-1852
Open Access | Times Cited: 506
Predicting miRNA–disease association based on inductive matrix completion
Xing Chen, Lei Wang, Jia Qu, et al.
Bioinformatics (2018) Vol. 34, Iss. 24, pp. 4256-4265
Open Access | Times Cited: 451
MDHGI: Matrix Decomposition and Heterogeneous Graph Inference for miRNA-disease association prediction
Xing Chen, Jun Yin, Jia Qu, et al.
PLoS Computational Biology (2018) Vol. 14, Iss. 8, pp. e1006418-e1006418
Open Access | Times Cited: 334
Neural inductive matrix completion with graph convolutional networks for miRNA-disease association prediction
Jin Li, Sai Zhang, Tao Liu, et al.
Bioinformatics (2019) Vol. 36, Iss. 8, pp. 2538-2546
Closed Access | Times Cited: 268
Ensemble of decision tree reveals potential miRNA-disease associations
Xing Chen, Chi-Chi Zhu, Jun Yin
PLoS Computational Biology (2019) Vol. 15, Iss. 7, pp. e1007209-e1007209
Open Access | Times Cited: 186
NCMCMDA: miRNA–disease association prediction through neighborhood constraint matrix completion
Xing Chen, Lian-Gang Sun, Yan Zhao
Briefings in Bioinformatics (2019) Vol. 22, Iss. 1, pp. 485-496
Closed Access | Times Cited: 179
Recent trends in cancer therapy: A review on the current state of gene delivery
Esam Bashir Yahya, Amaal Mohammed Alqadhi
Life Sciences (2021) Vol. 269, pp. 119087-119087
Closed Access | Times Cited: 173
Application of Machine Learning in Microbiology
Kaiyang Qu, Fei Guo, Xiangrong Liu, et al.
Frontiers in Microbiology (2019) Vol. 10
Open Access | Times Cited: 169
Model-based and Model-free Machine Learning Techniques for Diagnostic Prediction and Classification of Clinical Outcomes in Parkinson’s Disease
Chao Gao, Hanbo Sun, Tuo Wang, et al.
Scientific Reports (2018) Vol. 8, Iss. 1
Open Access | Times Cited: 163
MicroRNA-small molecule association identification: from experimental results to computational models
Xing Chen, Na‐Na Guan, Yazhou Sun, et al.
Briefings in Bioinformatics (2018)
Closed Access | Times Cited: 162
Deep-belief network for predicting potential miRNA-disease associations
Xing Chen, Tianhao Li, Yan Zhao, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 3
Closed Access | Times Cited: 137
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
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: 99
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
Updated review of advances in microRNAs and complex diseases: experimental results, databases, webservers and data fusion
Huang Li, Li Zhang, Xing Chen
Briefings in Bioinformatics (2022) Vol. 23, Iss. 6
Closed Access | Times Cited: 76
Updated review of advances in microRNAs and complex diseases: towards systematic evaluation of computational models
Huang Li, Li Zhang, Xing Chen
Briefings in Bioinformatics (2022) Vol. 23, Iss. 6
Closed Access | Times Cited: 73
Motif-Aware miRNA-Disease Association Prediction via Hierarchical Attention Network
Bo-Wei Zhao, Yi-Zhou He, Xiaorui Su, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 7, pp. 4281-4294
Closed Access | Times Cited: 17
Computational models for lncRNA function prediction and functional similarity calculation
Xing Chen, Yazhou Sun, Na‐Na Guan, et al.
Briefings in Functional Genomics (2018) Vol. 18, Iss. 1, pp. 58-82
Closed Access | Times Cited: 159
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
VARIDT 1.0: variability of drug transporter database
Jiayi Yin, Wen Sun, Fengcheng Li, et al.
Nucleic Acids Research (2019) Vol. 48, Iss. D1, pp. D1042-D1050
Open Access | Times Cited: 129
Predicting lncRNA–miRNA interactions based on logistic matrix factorization with neighborhood regularized
Hongsheng Liu, Guofei Ren, Haoyu Chen, et al.
Knowledge-Based Systems (2019) Vol. 191, pp. 105261-105261
Closed Access | Times Cited: 123
Predicting human microbe–drug associations via graph convolutional network with conditional random field
Yahui Long, Min Wu, Chee Keong Kwoh, et al.
Bioinformatics (2020) Vol. 36, Iss. 19, pp. 4918-4927
Open Access | Times Cited: 119
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: 117
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