1. [1] Jinhu Lü, Pei Wang, Modeling and analysis of bio-molecular networks, Springer Singapore, 2020. (Monograph, 464 pages), Hardcover ISBN：978-981-15-9143-3；eBook ISBN：978-981-15-9144-0

1. Pei Wang*,Daojie Wang，Gene differential co-expression networks based on RNA-seq data: Construction and its applications，IEEE/ACM Transactions on Computational Biology and Bioinformatics，2021，DOI：10.1109/TCBB.2021.3103280.
2. Pei Wang*, Statistical identification of important nodes in biological systems，Journal of System Science and Complexity, 2021，34（4）: 1454-1470.
3. Pei Wang*, Junan Lu, Yanyu Jin, Mengfan Zhu, Lingling Wang, Shunjie Chen, Statistical and network analysis of 1212 COVID-19 patients in Henan, China. International Journal of infectious Disease, 95: 391-398, 2020. MedRxiv版本：Pei Wang*, Junan Lu, Yanyu Jin, Mengfan Zhu, Lingling Wang, Shunjie Chen, Epidemiological characteristics of 1212 COVID-19 patients in Henan, China. medRxiv 2020.02.21.20026112; doi: https://doi.org/10.1101/2020.02.21.20026112
4. Xiaohui Yang*, Xiaoying Jiang, Chenxi Tian, Pei Wang, Funa Zhou, Hamido Fujita, Inverse projection group sparse representation for tumor classification: A low rank variation dictionary approach, Knowledge-Based Systems, 196: 105768，May 2020.
5. Shuang Xu*, Chunxia Zhang, Pei Wang, Jiangshe Zhang Variational Bayesian weighted complex network reconstruction, Information Sciences, 521:291-306, June 2020.
6. Suling Liu, Qiong Xu, Aimin Chen, Pei Wang*, Structural controllability of static and dynamic transcriptional regulatory networks for Saccharomyces cerevisiae, Physica A, 537:122772, Jan. 2020.
7. Zhen Jia*，Lang Zeng; Yingying Wang; Pei Wang，Optimization Algorithms for Spectral Coarse-graining of Complex Networks，Physica A, 514 (2019) 925–935.
8. Shuang Xu , Pei Wang*, Chunxia Zhang, Identification of influential spreaders in bipartite networks: a singular value decomposition approach, Physica A, 513: 297-306, 2019.
9. Shuang Xu, Pei Wang*, Chunxia Zhang, Jinhu Lü, Spectral learning algorithm reveals propagation capability of complex network，IEEE Transactions on Cybernetics, 49(12): 4253-4261, Dec. 2019.
10. Pei Wang*, Daojie Wang, Jinhu Lü, Controllability analysis of a gene network for Arabidopsis thaliana reveals characteristics of functional gene families, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 16(3): 912-924, May/June 2019.
11. Pei Wang, Cuiling Yang, Hao Chen, Longhai Luo, Qiuli Leng, Shicong Li, Zujing Han, Xinchun Li, Chunpeng Song, Xiao Zhang, and Daojie Wang*, Exploring transcription factors reveals crucial members and regulatory networks involved in different abiotic stresses in Brassica napus L., BMC Plant Biology, 18: 202, 2018.
12. LuLu Wu,Pei Wang, Jinhu Lü*. Substrate concentration effect on gene expression in genetic circuits with additional positive feedback. Sci China Tech Sci, 61(8): 1175-1183, 2018.
13. Zaiqing Wang, Cuiling Yang, Hao Chen, Pei Wang, Chun-Peng Song, Xiao Zhang, and Daojie Wang*, Multi-gene co-transformation can improve comprehensive resistance to abiotic stresses in B napus L., Plant Science, 274 : 410–419, 2018.
14. Pei Wang*, Shuang Xu, Spectral coarse grained controllability of complex networks, Physica A, 478: 168-176, 2017.
15. Shuang Xu, Pei Wang*, Jinhu Lü, Iterative neighbour-information gathering for ranking nodes in complex networks, Scientific Reports, 7: 41321, 2017.
16. Shuang Xu, Pei Wang*, Identifying important nodes by adaptive LeaderRank, Physica A, 469: 654-664, Mar. 2017.
17. Pei Wang, Cuiling Yang, Hao Chen, Chunpeng Song, Xiao Zhang, Daojie Wang*, Transcriptomic basis for drought-resistance in Brassica napus L., Scientific Reports, 7, 40532, 2017.
18. She-Gan Gao, Rui-Min Liu, Yun-Gang Zhao, Pei Wang, Douglas G. Ward, Guang-Chao Wang, Xiang-Qian Guo, Juan Gu, Wan-Bin Niu, Tian Zhang, Ashley Martin, Zhi-Peng Guo, Xiao-Shan Feng, Yuan-Fang Ma*, Yi-Jun Qi*, Integrative topological analysis of mass spectrometry data reveals molecular features with clinical relevance in esophageal squamous cell carcinoma, Scientific Reports, 6: 21586, 2016.
19. Pei Wang*, Yao Chen, Jinhu Lü, Qingyun Wang, Xinghuo Yu, Graphical features of functional genes in human protein interaction network, IEEE Transactions on Biomedical Circuits and Systems, 10(3): 707-720, 2016.
20. Pei Wang*, Xinghuo Yu, Jinhu Lü, Identification and evolution of structurally dominant nodes in protein-protein interaction networks, IEEE Transactions on Biomedical Circuits and Systems, 8(1): 87-97, 2014.
21. Pei Wang*, Jinhu Lü, Xinghuo Yu, Zengrong Liu, Duplication and divergence effect on network motifs in undirected bio-molecular networks. IEEE Transactions on Biomedical Circuits and Systems, 9(3): 312-320, June 2015.
22. Pei Wang*, Jinhu Lü, Xinghuo Yu, Colored noise induced bistable switch in the genetic toggle switch systems, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 12(3): 579-589, May/June 2015.
23. Pei Wang*, Jinhu Lü, Xinghuo Yu, Identification of important nodes in directed biological networks: a network motif approach. PLoS One, 9(8): art.no. e106132, Aug. 2014.
24. Pei Wang*, Yuhuan Zhang, Jinhu Lü, Xinghuo Yu, Functional characteristics of additional positive feedback in genetic circuits, Nonlinear Dynamics, 79(1): 397-408, 2015.
25. Pei Wang*, Yuhuan Zhang, Shaolin Tan, Wan Li, Explicit ultimate bound sets of a new hyper-chaotic system and its application in estimating the Hausdorff dimension, Nonlinear Dynamics, 74:133-142, 2013.
26. Pei Wang, Chen-geng Tian, Jun-an Lu*, Identifying influential spreaders in artificial complex networks, Journal of Systems Science & Complexity, 27：650-665, 2014.
27. Shaolin Tan*, Shasha Feng, Pei Wang, Yao Chen, Strategy Selection in Evolutionary Game Dynamics on Group Interaction Networks, Bulletin of Mathematical Biology, 76:2785–2805，2014.
28. 王沛, 吕金虎*, 基因调控网络的控制：机遇与挑战（英文题目：Control of Genetic Regulatory Networks：Opportunities and Challenges）,自动化学报, 39(12): 1969-1979, 2013.
29. Li Wan*, Qinghua Zhou, Zhigang Zhou, Pei Wang, Dynamical behaviors of stochastic Hopfield neural networks with mixed time-delays, Abstract and Applied Analysis, vol.2013, Article ID 384981, 2013.
30. Pei Wang, Jinhu Lü*, Maciej J.Ogorzalek, Global relative parameter sensitivities of the feed-forward loops in genetic networks, Neurocomputing, 78(1), pp.155-165, 2012.
31. Pei Wang, Damei Li, Xiaoqun Wu, Jinhu Lü*, Xinghuo Yu, Ultimate bound estimation of a class of high dimensional quadratic autonomous dynamical systems, International Journal of Bifurcation & Chaos, 21(9), pp. 2679-2694, 2011.
32. Pei Wang*, Damei Li, Qianli Hu, Bounds of the hyper-chaotic Lorenz-Stenflo system, Communications in Nonlinear Science & Numerical Simulation，15(9), pp.2514-2520,2010.
33. Li Wan*, Qinghua Zhou, Pei Wang, Weak attractor for stochastic Cohen–Grossberg neural networks with delays, Nonlinear Dynamics, 67(3),pp.1753-1759, 2012.
34. Damei Li, Pei Wang*, Jun-an Lu, Some synchronization strategies for a four-scroll chaotic system, Chaos, Solitons & Fractals, 42(4), pp.2553-2559,2009.
35. Li Wan*, Qinghua Zhou, Pei Wang, Ultimate boundedness of stochastic Hopfield neural networks with time-varying delays, Neurocomputing, 74(17), pp.2967-2971, 2011.
36. Li Wan* , Qinghua Zhou, Pei Wang, Ultimate boundedness and an attractor for stochastic Hopfield neural networks with time-varying delays, Nonlinear Analysis: Real World Applications, 13(2), pp.953-958, 2012.

1. Shunjie Chen, Pei Wang*, Gene selection from biological data via group Lasso for logistic regression model: effects of different clustering algorithms, Proceedings of the 40th Chinese Control Conference, July 26-28, pp.6374-6379, 2021, Shanghai, China.
2. Chunfang Liu, Pei Wang*, Aimin Chen, Identifying influential spreaders in complex networks by an improved spectralrank algorithm, Proceedings of the 40th Chinese Control Conference, July 26-28, pp.736-741, 2021, Shanghai, China.
3. Na Li, Pei Wang, Synchronization of complex networks with simple fixed-time semi-intermittent control，Proceedings of the 40th Chinese Control Conference, July 26-28, pp.546-551, 2021, Shanghai, China.
4. Qiong Xu, Pei Wang*, Aimin Chen, Jinhu Lu, Prediction of drug-related phenotypes based on the constructed phenotype-gene-drug heterogeneous network, The 39th Chinese Control Conference (CCC2020), July 27-29, pp. 5867-5872, Shenyang, China, 2020.
5. Yan Liu, Pei Wang, Aimin Chen, Frequency Robustness of a Synthetic Network with Birhythmicity, The 38th Chinese Control Conference (CCC2019), July 27-30, pp. 6959-6964, Guangzhou, China, 2019.
6. Suling Liu, Qiong Xu, Aimin Chen, Pei Wang*, Jinhu Lü, Controllability analysis of transcriptional regulatory networks for Saccharomyces cerevisiae, The 44th Annual Conference of the IEEE Industrial Electronics Society (IECON2018), October 21-23, pp. 6172-6177, Washington DC, USA, 2018.
7. Shuang Xu, Pei Wang*, Coarse graining of complex networks: a k-means clustering approach, The 28th Chinese Control and Decision Conference (CCDC2016), May 28-31, pp. 4203-4208, Yinchuan China, 2016.
8. Pei Wang*, Xinghuo Yu, Jinhu Lü, Aimin Chen, Identifying important nodes in artificial bio-molecular networks, IEEE International Symposium on Circuits and Systems (ISCAS2014), June 1-5, pp. 1267-1270, Melbourne, Australia, 2014.
9. Pei Wang*, Yuhuan Zhang, Jinhu Lü, Xinghuo Yu, Topological characterization of housekeeping genes in human protein-protein interaction network, IEEE International Conference on Systems Biology (ISB2014), October 25–27, pp. 1-6, Qingdao, China, 2014.
10. Pei Wang*, Jinhu Lü, Li Wan, Yao Chen, A stochastic simulation algorithm for biochemical reactions with delays, IEEE International Conference on Systems Biology (ISB2013), August 23-25, pp. 109-114, Huangshan, China, 2013.
11. Pei Wang*, Renquan Lu, Yao Chen, Xiaoqun Wu, Hybrid modelling of the general middle-sized genetic regulatory networks, IEEE International Symposium on Circuits and Systems (ISCAS2013), May 19-23, pp. 2103-2106, Beijing, China, 2013.
12. Pei Wang, Jinhu Lü*, Yuhuan Zhang, Maciej J. Ogorzalek, Global relative input-output sensitivities of the feed-forward loops in genetic networks, Proceedings of the 31th Chinese Control Conference (CCC2012), July 20-22, pp. 7376-7381, Hefei, China, 2012.
13. Pei Wang, Jinhu Lü*, Maciej J. Ogorzalek, Synchronized switching induced by colored noise in the genetic toggle switch systems coupled by quorum sensing mechanism, Proceedings of the 30th Chinese Control Conference (CCC2011), July 22-24, pp. 6605-6609, Yantai, China, 2011.
14. Pei Wang, Jinhu Lü*, Yuhuan Zhang, Maciej J. Ogorzalek, Intrinsic noise induced state transition in coupled positive and negative feedback genetic circuit, IEEE International Conference on Systems Biology (ISB2011), Sep. 2-4, pp. 356-361, Zhuhai, China, 2011.
15. Pei Wang, Damei Li, Xiaoqun Wu, Jinhu Lü*, Estimating the ultimate bound for the generalized quadratic autonomous chaotic systems, Proceedings of the 29th Chinese Control Conference (CCC2010), July 29-31, pp. 791-795, Beijing, China, 2010.

1. 生物分子网络的建模与统计分析, 2017年, 河南省科技进步奖三等奖, 省部级, 第1; 河南省人民政府, 编号2017-J-205-R01/04.
2. Hybrid modeling of middle-sized genetic regulatory networks，2013年，2013 Best application paper award, IEEE International Symposium on Circuits and Systems, Neural network and application technique committee, 第1.
3. Identification of important notes in directed biological networks: a network motif approach, 2015年, 河南省第三届自然科学优秀学术论文奖二等奖, 河南省科协, 第1.
4. Functional characteristics of additional positive feedback in genetic circuits , 2017年，河南省自然科学优秀学术论文奖三等奖, 河南省科协, 第1.
5. 若干典型生物分子网络的建模与分析, 2016年, 河南省教育厅科技成果奖一等奖, 厅级, 第1;豫教[2016] 01387.
6. 生物分子网络的建模与统计分析, 2017年, 河南省教育厅科技成果奖一等奖, 厅级, 第1; 豫教〔2017〕3765号.
7. 2019年开封市第十三届青年科技奖, 中共开封市委组织部, 开封市人力资源和社会保障局, 开封市科学技术协会, 2019年6月.
8. 2016-2020年, 河南省教育厅科技成果奖优秀科技论文奖一等奖10项, 厅级, 第1.
9. Identification of important notes in directed biological networks: a network motif approach, 2016年, 开封市自然科学优秀学术成果一等奖, 地市级, 第1.
10. Duplication and divergence effect on network motifs in undirected bio-molecular networks, 2017年, 开封市自然科学学术成果奖二等奖, 地市级, 第1.
11. 2017年，2019年河南大学科研优秀奖,校级, 第1.
12. Statistical identification of important nodes in biological systems, 2019年, 第一届全国系统生物学会议优秀墙报,第一届全国系统生物学大学, 上海交通大学, 学术团体学术奖 .

1. 第二届全国高校数学微课程教学设计竞赛华中赛区一等奖，2016年，第1
2. 第三届全国高校数学微课程教学设计竞赛华中赛区一等奖，2017年，第1
3. 第二届全国高校数学微课程教学设计竞赛河南赛区特等奖，2016年，第1
4. 第三届全国高校数学微课程教学设计竞赛河南赛区特等奖，2017年，第1
5. 第二届全国高校数学微课程教学设计竞赛河南赛区二等奖，2016年，第1
6. 河南大学教学质量特等奖，2017年，第1
7. 河南大学教学质量二等奖，2015年，第1
8. 2017年指导学生参加中国高校SAS数据分析大赛决赛三等奖，优秀组织奖
9. 2017年河南大学民生学院优秀实习指导教师奖1项
10. 2014-2015河南大学民生学院教学优秀奖

1. 2019年河南大学青年五四奖章 2020年5月
2. 2018年河南大学优秀共产党员，河南大学党委组织部
3. 2018年度河南大学五好文明家庭，河南大学工会

1. 2020年全国大学生数学建模竞赛河南省二等奖1项，三等奖2项
2. 2018年全国大学生数学建模竞赛河南省三等奖1项，美赛二等奖1项
3. 2017年指导学生获得全国大学生数学建模竞赛全国二等奖一项，河南省一等奖一项
4. 2016年指导学生获得全国大学生数学建模竞赛全国二等奖一项，河南省二等奖一项
5. 2016年指导学生获第四届“泰迪杯”全国数据挖掘挑战赛全国三等奖一项
6. 2015年全国大学生数学建模竞赛获奖三项省一等奖
7. 2012年全国大学生数学建模竞赛获奖一项省一等奖，一项省三等奖
8. 2016年指导本科生参加美国大学生数学建模竞赛获得二等奖1项，三等奖1项
9. 2018年指导本科生参加美国大学生数学建模竞赛获得二等奖1项
10. 2017年指导学生获得五一数学建模竞赛二等奖

每年参加各类学术会议十余次，部分邀请报告及参会报告信息如下：