主持参与完成的项目：

国家自然基金青年基金项目1项(项目号：21503101);

留学回国人员科技活动项目1项(项目号：教外司留[2015]311号);

甘肃省自然科学基金项目1项(项目号：1506RJZA223);

中央高校基本科研业务费专项资金项目2项。

目前在研项目：

中央高校基本科研业务费交叉学科重点项目1项;

国家自然基金面上基金项目2项(项目号：21976073，81973786)。

发表SCI/EI论文20余篇，近5年主要的SCI/EI论文如下：

[1] Yongna Yuan*，Zhuangzhuang Zhang，Matthew J.L. Mills，Rongjing Hu, and Ruisheng Zhang, Assessing force filed potential energy function accuracy via a multipolar description of atomic electrostatic interactions in RNA. J. Chem. Inf. Model. 2018, 58, 2239-2254.

[2] Yongna Yuan*, Matthew J.L. Mills, Zhuangzhuang Zhang, Chunyan Zhao, and Yong-Xing He, Comprehensive analysis of energy minima of molecular fragments of RNA, J. Chem. Inf. Model. (Accepted).

[3] Xiaoliang Fan, Lei Guo, Ning Han, Yujie Wang, Jia Shi, Yongna Yuan*, A deep learning approach for next location prediction. The 2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design, 2018.05.09-05.11.

[4] Yongna Yuan, Matthew J.L. Mills, Paul L.A. Popelier, Multipolar electrostatics for proteins: atom-atom electrostatic energies in crambin. J. Comput. Chem., 2014, 35, 343-359.

[5] Yongna Yuan, Matthew J.L. Mills, Paul L.A. Popelier, Comprehensive analysis of energy minima of the 20 natural amino acids, J. Phys. Chem. A., 2014, 118, 7876-7891.

[6] Yongna Yuan, Matthew J.L. Mills, Paul L.A. Popelier, Multipolar electrostatics based on the Kriging machine learning methods: an application to serine, J. Mol. Model., 2014, 20, 2172-2187.

[7] Ruisheng Zhang, Juan Li, Jingjing Lu, Rongjing Hu, and Yongna Yuan, Using deep learning for compound selectivity prediction, Curr. Comput.-Aid Drug, 2016, 12, 5-14.

[8] Yabing Yao, Ruisheng Zhang, Fan Yang, Yongna Yuan, and Rongjing Hu, Link prediction based on local weighted paths for complex networks, Inter. J. Modern Phys. C, 2017, 28, 1750053-75.

[9] Yabing Yao, Ruisheng Zhang, Fan Yang, Yongna Yuan, Qingshuang, Sun, Yu Qiu, and Rongjing Hu, Link prediction via layer relevance of multiplex networks, Inter. J. Modern Phys. C, 2017, 28, 1750101-24.

[10] Yabing Yao, Ruisheng Zhang, Fan Yang, Yongna Yuan, and Rongjing Hu, Link prediction in complex networks based on the interactions among paths, Physica, 2018, 510, 52-67.

[11] Xinhe Liu,Tingting Liu, Juanjuan Song, Ying Hai, Feng Luan, Haixia Zhang, Yongna Yuan, Hongyu Li, Chunyan Zhao*, Understanding the interaction of single-walled carbon nanotube (SWCNT) on estrogen receptor: A combined molecular dynamics and experimental study, Ecotoxicol Environ Saf, 2019, 172: 373-379.

[12] Yaquan Liu, Xinyue Pang, Jiarui Song, Xinhe Liu, Juanjuan Song, Yongna Yuan, Chunyan Zhao*, Exploring the membrane toxicity of decabromodiphenyl ethane (DBDPE): Based on cell membranes and lipid membranes model, hemosphere, 2019, 216: 524-532.

[13] Jiaxuan Wei, Ruisheng Zhang, Zhixuan Yu, Rongjing Hu, Jianxin Tang, Chun Gui, and Yongna Yuan, A BPSO-SVM algorithm based on memory renewal and enhanced mutation mechanisms for feature selection. Applied Soft Computing, 2017, 58, 176-192.

[14] Huan Li, Ruisheng Zhang, Zhili, Zhao, and Yongna Yuan, An efficient influence maximization algorithm based on clique in social networks, 2019, IEEE, 141083-141093.

[15] Fan Yang, Ruisheng Zhang, Yabing Yao, Yongna Yuan, Locating the propagation source on complex networks with Propagation Centrality algorithm, Knowledge-Based Systems, 2016, 100, 112-123.

[16] Fan Yang, Ruisheng Zhang, Zhao Yang, Rongjing Hu, Mengtian Li, and Yongna Yuan, Identifying the most influential spreaders in complex networks by an Extended Local K-Shell Sum, Inter. J. Modern Phys. C, 2017, 28, 1750014-30.

[17] Ruiseng Zhang, Qidong Liu, Rongjing Hu, Huiyi Ma, and Yongna Yuan, Collaborative filtering: user similarity in slope one algorithm, J. Comput. Inform. Syst. 2014, 10, 10413-10422.

1. Manchester University

2.3M Corporate Research Analytical Laboratory, Saint Paul, Minnesota 55114, United States.

2013.09 -2017.06担任2013级本科生班主任

2018.09 -至今 担任2018级本科生班主任