（1）Jia Qu, Xing Chen*, Jun Yin, Yan Zhao, Zheng-Wei Li. Prediction of potential miRNA-Disease associations using matrix decomposition and label propagation. Knowledge-Based Systems. 2019, 186: 104963. (SCI, 影响因子: 5.921，中科院一区) （2）Jia Qu, Xing Chen*, Ya-Zhou Sun, Yan Zhao, Shu-Bin Cai, Zhong Ming*, Zhu-Hong You*, Jian-Qiang Li. In Silico Prediction of Small Molecule-miRNA Associations Based on the HeteSim Algorithm. Molecular Therapy-Nucleic Acids. 2019, 14: 274-286. (SCI，影响因子: 7.032，中科院二区) （3）Jia Qu, Xing Chen*, Ya-Zhou Sun, Jian-Qiang Li, Zhong Ming. Inferring potential small molecule-miRNA association based on triple layer heterogeneous network. Journal of Cheminformatics. 2018, 10: 30. (SCI, 影响因子5.318，中科院二区) （4）Jia Qu, Yan Zhao*, Jun Yin. Identification and Analysis of Human Microbe-Disease Associations by Matrix Decomposition and Label Propagation. Frontiers in Microbiology. 2019, 10: 291. (SCI, 影响因子: 4.235，中科院二区) （5）Jia Qu, Yan Zhao, Li Zhang, Chunchun Wang*. Computational Models for Self-Interacting Proteins Prediction. Protein & Peptide Letters.（SCI, 影响因子1.156, 中科院四区) （6）Bin-Sheng He, Jia Qu*, Min Chen*. Prediction of potential disease-associated microRNAs by composite network based inference. Scientific Reports. 2018, 8(1): 15813. (SCI, 影响因子: 3.998, 中科院三区) （7） Bin-Sheng He, Jia Qu*, Qi Zhao*. Identifying and Exploiting Potential miRNA-Disease Associations with Neighborhood Regularized Logistic Matrix Factorization. Frontiers in Genetics. 2018, 9: 303. (SCI, 影响因子: 3.258, 中科院二区) （8）Xing Chen*, Jia Qu, Jun Yin. TLHNMDA: Triple Layer Heterogeneous Network Based Inference for MiRNA-Disease Association prediction. Frontiers in Genetics. 2018, 9: 234. (SCI, 影响因子: 3.258, 中科院二区) （9）Xing Chen*, Lei Wang, Jia Qu, Na-Na Guan, Jian-Qiang Li. Predicting miRNA-disease association based on inductive matrix completion. Bioinformatics. 2018, 34(24): 4256-4265. (SCI, 影响因子: 5.610, 中科院二区) （10） Xing Chen*, Jun Yin, Jia Qu, Li Huang. MDHGI: Matrix Decomposition and Heterogeneous Graph Inference for miRNA-disease association prediction. PLoS Computational Biology. 2018, 14(8): e1006418. (SCI, 影响因子: 4.700, 中科院二区) （11）Chun-Chun Wang, Xing Chen*, Jia Qu, Ya-Zhou Sun, Jian-Qiang Li. RFSMMA: A New Computational Model to Identify and Prioritize Potential Small Molecule–MiRNA Associations. Journal of Chemical Information and Modeling. 2019, 59(4): 1668-1679. (SCI, 影响因子: 4.549，中科院二区) （12） Chun-Chun Wang, Xing Chen*, Jun Yin, Jia Qu. An integrated framework for the identification of potential miRNA-disease association based on novel negative samples extraction strategy. RNA Biology. 2019, 16(3): 257-269. (SCI, 影响因子: 5.350，中科院二区) （13） Yan Zhao, Xing Chen*, Jun Yin, Jia Qu. SNMFSMMA: using symmetric nonnegative matrix factorization and Kronecker regularized least squares to predict potential small molecule-microRNA association. RNA Biology. 2019, 59(4): 1668-1679.（SCI，影响因子5.350, 中科院二区） （14） Dongqing Guo, Colin E. Murdoch, Tianhua Liu, Jia Qu, Shihong Jiao, Yong Wang*, Wei Wang*, Xing Chen*. Therapeutic Angiogenesis of Chinese Herbal Medicines in Ischemic Heart Disease: A Review. Frontiers in Pharmacology. 2018, 9: 428. (SCI, 影响因子: 4.225, 中科院二区) （15）Xing Chen*, Ya-Zhou Sun, Na-Na Guan, Jia Qu, Zhi-An Huang, Ze-Xuan Zhu, Jian-Qiang Li. Computational models for lncRNA function prediction and functional similarity calculation. Briefings in Functional Genomics. 2019, 18(1): 58-82. (SCI, 影响因子: 2.941, 中科院二区) （16）Xing Chen*, Na-Na Guan, Ya-Zhou Sun, Jian-Qiang Li*, Jia Qu. MicroRNA-small molecule association identification: from experimental results to computational models. Briefings in Bioinformatics. 2020, 21(1), 47-61. (SCI, 影响因子: 8.990, 中科院一区) |
