王纯纯
性别：男
出生日期：1995.11
职称、职务：副教授
电话（手机）：
E-mail：chunchunwang@jiangnan.edu.cn
【学术简介】
博士，副教授，江南大学理学院信息与计算科学系教师。主要从事生物信息学中复杂疾病相关非编码RNA生物标志物识别、基于计算方法的精准药物研发等方面的研究。在Briefings in Bioinformatics、Molecular Therapy-Nucleic Acids、Journal of Chemical Information and Modeling、RNA Biology等期刊发表SCI论文20余篇，论文被引用合计700余次，一篇论文入选ESI高被引论文。担任Briefings in Bioinformatics、BMC Bioinformatics、BMC Genomics、Frontiers in Microbiology等杂志审稿人。获江苏省高等学校科学技术研究成果奖二等奖，主持江苏省研究生科研与实践创新计划项目一项，参与国家自然科学基金面上项目一项，参与中国矿业大学重大项目培育专项一项。
【工作及研究经历】：
2023.06-至今，江南大学理学院，副教授；
2017.09-2023.06，中国矿业大学硕博连读，控制科学与工程专业博士学位。
【研究领域】
生物信息学，大数据分析预测，机器学习。
【主要论著】（著作和论文）
主要论文：
[1] Chun-Chun Wang, Chen-Di Han, Qi Zhao*, Xing Chen*. Circular RNAs and complex diseases: from experimental results to computational models. Briefings in Bioinformatics. 2021 22(6): bbab286 (SCI, 影响因子13.994, 被引109次, ESI高被引论文).
[2] Chun-Chun Wang, Yan Zhao, Xing Chen*. Drug-pathway association prediction: from experimental results to computational models. Briefings in Bioinformatics. 2021 22(3): bbaa061 (SCI, 影响因子13.994, 被引24次).
[3] Chun-Chun Wang, Tian-Hao Li, Li Huang, Xing Chen*. Prediction of potential miRNA-disease associations based on stacked autoencoder. Briefings in Bioinformatics. 2022 23(2):bbac021 (SCI, 影响因子13.994, 被引25次).
[4] Chun-Chun Wang#, Chi-Chi Zhu#, Xing Chen*. Ensemble of kernel ridge regression-based small molecule-miRNA association prediction in human disease. Briefings in Bioinformatics. 2022 23(1):bbab431 (SCI, 影响因子13.994, 被引23次).
[5] Chi-Chi Zhu#, Chun-Chun Wang#, Yan Zhao, Ming-Cheng Zuo, Xing Chen*. Identification of miRNA-disease associations via multiple information integration with Bayesian ranking. Briefings in Bioinformatics. 2021 22(6): bbab302 (SCI, 影响因子13.994, 被引12次).
[6] 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6.162, 被引39次).
[7] Chun-Chun Wang, Xing Chen*. A Unified Framework for the Prediction of Small Molecule-MicroRNA Association Based on Cross-Layer Dependency Inference on Multilayered Networks. Journal of Chemical Information and Modeling. 2019 59(12):5281-5293 (SCI, 影响因子6.162, 被引21次).
[8] 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4.766, 被引34次).
[9] Jia Qu, Yan Zhao, Li Zhang, Shu-Bin Cai, Zhong Ming, Chun-Chun Wang *. Computational Models for Self-Interacting Proteins Prediction. Protein and Peptide Letters. 2020 27(5): 392-399 (SCI, 影响因子1.927).
[10] Xing Chen*, Chun-Chun Wang, Jun Yin, Zhu-Hong You*. Novel Human miRNA-Disease Association Inference Based on Random Forest. Molecular Therapy-Nucleic Acids. 2018 13:568-579 (SCI, 影响因子10.183, 被引90次).
[11] Yan Zhao, Chun-Chun Wang, Xing Chen*. Microbes and complex diseases: from experimental results to computational models. Briefings in Bioinformatics. 2021 22(3): bbaa158 (SCI, 影响因子13.994, 被引26次).
[12] Li Zhang, Chun-Chun Wang, Xing Chen*. Predicting drug-target binding affinity through molecule representation block based on multi-head attention and skip connection. Briefings in Bioinformatics. 2022 23(6): bbac468 (SCI, 影响因子13.994).
[13] Shu-Hao Wang, Chun-Chun Wang, Li Huang, Lian-Ying Miao, Xing Chen*. Dual-Network Collaborative Matrix Factorization for predicting small molecule-miRNA associations. Briefings in Bioinformatics. 2022 23(1):bbab500 (SCI, 影响因子13.994, 被引15次).
[14] Tian-Hao Li, Chun-Chun Wang, Li Zhang, Xing Chen*. SNRMPACDC: computational model focused on Siamese network and random matrix projection for anticancer synergistic drug combination prediction. Briefings in Bioinformatics. 2023 24(1):bbac503 (SCI, 影响因子13.994).
[15] Chen-Di Han, Chun-Chun Wang, Li Huang, Xing Chen*. MCFF-MTDDI: multi-channel feature fusion for multi-typed drug-drug interaction prediction. Briefings in Bioinformatics. 2023 24(4): bbad215 (SCI, 影响因子13.994).
[16] Xing Chen*, Chun-Chun Wang, Na-Na Guan. Computational Models in Non-Coding RNA and Human Disease. International Journal of Molecular Sciences. 2020 21(5):1557 (SCI, 影响因子6.208).
[17] Na-Na Guan, Chun-Chun Wang, Li Zhang, Li Huang*, Jian-Qiang Li*, Xue Piao*. In silico prediction of potential miRNA-disease association using an integrative bioinformatics approach based on kernel fusion. Journal of Cellular and Molecular Medicine, 2020 24(1), 573-587 (SCI, 影响因子5.295).
[18] Jia Qu*, Chun-Chun Wang, Shu-Bin Cai, Wen-Di Zhao, Xiao-Long Cheng, Zhong Ming*. Biased Random Walk With Restart on Multilayer Heterogeneous Networks for MiRNA-Disease Association Prediction. Frontiers in Genetics. 2021 12: 720327 (SCI, 影响因子4.772).
[19] Xing Chen*, Chi Zhou, Chun-Chun Wang, Yan Zhao. Predicting potential small molecule-miRNA associations based on bounded nuclear norm regularization. Briefings in Bioinformatics. 2021 22(6): bbab328 (SCI, 影响因子13.994, 被引37次).
[20] Na-Na Guan, Yan Zhao, Chun-Chun Wang, Jian-Qiang Li*, Xing Chen*, Xue Piao*. Anticancer Drug Response Prediction in Cell Lines Using Weighted Graph Regularized Matrix Factorization. Molecular Therapy-Nucleic Acids 2019 17:164-174 (SCI, 影响因子10.183, 被引57次).
[21] Jun Yin, Xing Chen*, Chun-Chun Wang, Yan Zhao, Ya-Zhou Sun. Prediction of small molecule-microRNA associations by sparse learning and heterogeneous graph inference. Molecular Pharmaceutics. 2019 16(7):3157-3166 (SCI, 影响因子5.364, 被引34次).
[22] Xing Chen*, Tian-Hao Li, Yan Zhao, Chun-Chun Wang, Chi-Chi Zhu. Deep-belief network for predicting potential miRNA-disease associations. Briefings in Bioinformatics. 2021 22(3): bbaa186 (SCI, 影响因子13.994, 被引93次).
[23] Xing Chen*, Shao-Xin Li, Jun Yin, Chun-Chun Wang. Potential miRNA-disease association prediction based on kernelized Bayesian matrix factorization. Genomics. 2020 112(1): 809-819 (SCI, 影响因子4.31, 被引36次).
【科研、教学项目】
科研项目：
1. 江苏省研究生科研与实践创新计划项目，KYCX20_1994，基于网络算法的药物和生物学通路关联预测研究，2020/04-2021/04，4万，结题，项目主持；
2. 国家自然科学基金面上项目，61972399，基于多源数据融合的药物响应和药物相关非编码RNA靶点预测研究，2020/01-2023/12，72万，在研，项目成员；
3. 中国矿业大学重大项目培育专项，基于生物医学信息的非编码RNA药物靶点数据分析与智能预测方法研究，2019/08-2022/07，30万，结题，项目成员。
【科研、教学成果及获奖】
科研获奖：
1. 江苏省高等学校科学技术研究成果奖二等奖《基于人工智能方法的microRNA关联预测研究》（排名第4），2021。
【荣誉与奖励】
1. 博士研究生国家奖学金，2019、2020；
2. 第九届江苏省生物信息学学术会议暨生物医学大数据论坛优秀墙报奖，2019；
3. 第七届全国计算生物学与生物信息学学术会议优秀墙报奖，2021。
【在读硕、博士人数】
博士0人、硕士0人
【已毕业硕、博士人数】
博士0人、硕士0人
【以上资料更新日期】
2023年11月
