Name：Pei Wang
Title：Associate Professor
Office：Attached first floor
Email： wp0307(AT)126.com
Research Field：Biostatistics, Systems Biology; Complex systems and complex networks
Education：
2009.09-2012.06， Ph.D， Wuhan University， Computatial mathematics
2007.09-2009.06， Master， Wuhan University， Computatial mathematics（Recommended exemption）
2003.09-2007.07， Bachelor， Henan University， Information and computation science
Position：
2017.10-Present， Henan University，Associate professor、Ph.D supervisor
2013.08-2014.08 RMIT University， Visiting scholar (Funded by Australia)
2012.06-2017.9， Henan University，Lecture，Master supervisor
2011.10-2012.01， City University of Hongkong，Visiting research assistant
Selected publications：
I. Monograph
[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
II. Journal Papers
(36) 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 （SCI）
(35) Pei Wang*, Statistical identification of important nodes in biological systems，Journal of System Science and Complexity, 2021.DOI: 10.1007/s11424-021-0001-2. （SCI）
(34) 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. （SCI）
MedRxiv version：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
(33) 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. （SCI）
(32) Shuang Xu*, Chunxia Zhang, Pei Wang, Jiangshe Zhang Variational Bayesian weighted complex network reconstruction, Information Sciences, 521:291-306, June 2020. （SCI）
(31) 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. （SCI）
(30) Zhen Jia*，Lang Zeng; Yingying Wang; Pei Wang，Optimization Algorithms for Spectral Coarse-graining of Complex Networks，Physica A, 514 (2019) 925–935. （SCI）
(29) Shuang Xu , Pei Wang*, Chunxia Zhang, Identification of influential spreaders in bipartite networks: a singular value decomposition approach, Physica A, 513: 297-306, 2019. （SCI）
(28) 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. （SCI）
(27) 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. （SCI）
(26) Pei Wang, Cuiling Yang, Hao Chen, Longhai Luo, Qiuli Leng, Shicong Li, Zujing Han, Xinchun Li, Chunpeng Song, Xiao Zhang, 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. （SCI）
(25) 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. （SCI）
(24) 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. （SCI）
(23) Pei Wang*, Shuang Xu, Spectral coarse grained controllability of complex networks, Physica A, 478: 168-176, 2017. （SCI）
(22) Shuang Xu, Pei Wang*, Jinhu Lü, Iterative neighbour-information gathering for ranking nodes in complex networks, Scientific Reports, 7: 41321, 2017. （SCI）
(21) Shuang Xu, Pei Wang*, Identifying important nodes by adaptive LeaderRank, Physica A, 469: 654-664, Mar. 2017. （SCI）
(20) 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. （SCI）
(19) 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. （SCI）
(18) 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. （SCI）
(17) 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. （SCI）
(16) 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. （SCI）
(15) 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. （SCI）
(14) 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. （SCI）
(13) Pei Wang*, Yuhuan Zhang, Jinhu Lü, Xinghuo Yu, Functional characteristics of additional positive feedback in genetic circuits, Nonlinear Dynamics, 79(1): 397-408, 2015. （SCI）
(12) 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. （SCI）
(11) Pei Wang, Chen-geng Tian, Jun-an Lu*, Identifying influential spreaders in artificial complex networks, Journal of Systems Science & Complexity, 27：650-665, 2014. （SCI）
(10) 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. （SCI）
(9) Pei Wang, Jinhu Lu*, Control of Genetic Regulatory Networks：Opportunities and Challenges, Acta Automatica Sinica, 39(12): 1969-1979, 2013. （EI, In Chinese）
(8) 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. （SCI）
(7) 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. （SCI）
(6) 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. （SCI）
(5) 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. （SCI）
(4) Li Wan*, Qinghua Zhou, Pei Wang, Weak attractor for stochastic Cohen–Grossberg neural networks with delays, Nonlinear Dynamics, 67(3),pp.1753-1759, 2012. （SCI）
(3) Li Wan*, Qinghua Zhou, Pei Wang, Ultimate boundedness of stochastic Hopfield neural networks with time-varying delays, Neurocomputing, 74(17), pp.2967-2971, 2011. （SCI）
(2) 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. （SCI）
(1) 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. （SCI）
III. Conference Papers
(15) 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. （EI）
(14) 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. （EI）
(13) 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. （EI）
[12] 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. （EI）
[11] 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. （EI）
[10] 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. （EI）
[9] 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. （EI）
[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. （EI）
[7] 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. （EI）
[6] 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. （EI）
[5] 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. （EI）
[4] 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. （EI）
[3] 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. （EI）
[2] 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. （EI）
[1] 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. （EI）
Research Funding：
1. National Natural Science Foundation of China (61773153): Statistical Construction and Analysis of Bio-molecular Networks with its Applications in Omics Data Mining for Brassica napus, 2018/1-2021/12, 66W, Principal Investigator
2. National Natural Science Foundation of China (61304151): Hybrid modeling and dynamical analysis of several representative gene regulatory networks，2014.1-2016.12, 25W, Principal Investigator
3. Natural Science Foundation of Henan-- Science Fund for Excellent Young Scholars (202300410045), Construction and applications of gene differential co-expression networks based on high-dimensional RNA-seq data. 20201/1/1-2022/12/30, 25W, Principal Investigator
4. Support plan for scientific and technological innovation talents in Colleges and universities of Henan Province (20HASTIT025), Identification and applications of crucial nodes in biological networks, 2020.1-2021.12, 40W, Principal Investigator
Teaching：
Multivariate statistical analysis; Statistical software etc.
Talks：
1. 20190724-0726， RESEARCH SCHOOL ON STATISTICS AND DATA SCIENCE 2019，presentation：Statistical identification of important genes in biological systems, LaTrobe University, Australia
2. 20181012-15, CCCN2019, Presentation, Chongqing
3. 2015.08.10-14, The 8th international congress on industrial and applied mathematics, China national convention center, Beijing, China. Minisymposia Chair, Presentation.
4. 2014.10.24-26， IEEE International Conference on Systems Biology, Qingdao, Shandong, Presentation：Topological characterization of housekeeping genes in human protein-protein interaction network
5. 2014.06.01-05 , IEEE International Symposium on Circuits and Systems, Melbourne, Australia, Presentation
6. 2013.05.19-22, IEEE International Symposium on Circuits and Systems, CNCC,Beijing, China, Presentation.
7. 2021.7.25-28, CCC2021, Shanghai，Presentation.
Honor and awards
[1] Third prize of Henan science and Technology Progress Award， Modeling and statistical analysis of bio-molecular networks, 2017, #Grants: 2017-J-205-R01/04.
[2] 2013 Best application paper award, IEEE International Symposium on Circuits and Systems, Neural network and application technique committee, Hybrid modeling of middle-sized genetic regulatory networks.
