Identification of important nodes in directed biological networks: A network motif approach P Wang, J Lü, X Yu PloS one 9 (8), e106132, 2014 | 132 | 2014 |
Global relative parameter sensitivities of the feed-forward loops in genetic networks P Wang, J Lü, MJ Ogorzalek Neurocomputing 78 (1), 155-165, 2012 | 103 | 2012 |
Bounds of the hyper-chaotic Lorenz–Stenflo system P Wang, D Li, Q Hu Communications in Nonlinear Science and Numerical Simulation 15 (9), 2514-2520, 2010 | 92 | 2010 |
Statistical and network analysis of 1212 COVID-19 patients in Henan, China P Wang, J Lu, Y Jin, M Zhu, L Wang, S Chen International Journal of Infectious Diseases 95, 391-398, 2020 | 86 | 2020 |
Transcriptomic basis for drought-resistance in Brassica napus L. P Wang, C Yang, H Chen, C Song, X Zhang, D Wang Scientific reports 7 (1), 40532, 2017 | 84 | 2017 |
Identifying important nodes by adaptive LeaderRank S Xu, P Wang Physica A: Statistical Mechanics and its Applications 469, 654-664, 2017 | 74 | 2017 |
Identification and Evolution of Structurally Dominant Nodes in Protein-Protein Interaction Networks P Wang, X Yu, J Lu IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS 8, 11, 2014 | 73 | 2014 |
Ultimate bound estimation of a class of high dimensional quadratic autonomous dynamical systems P Wang, D Li, X Wu, J Lü, X Yu International Journal of Bifurcation and Chaos 21 (09), 2679-2694, 2011 | 71 | 2011 |
Exploring transcription factors reveals crucial members and regulatory networks involved in different abiotic stresses in Brassica napus L. P Wang, C Yang, H Chen, L Luo, Q Leng, S Li, Z Han, X Li, C Song, ... BMC plant biology 18, 1-21, 2018 | 63 | 2018 |
Multi-gene co-expression can improve comprehensive resistance to multiple abiotic stresses in Brassica napus L. Z Wang, C Yang, H Chen, P Wang, P Wang, C Song, X Zhang, D Wang Plant science 274, 410-419, 2018 | 61 | 2018 |
Controllability Analysis of a Gene Network for Arabidopsis thaliana Reveals Characteristics of Functional Gene Families P Wang, D Wang, J Lü IEEE/ACM Transactions on Computational Biology and Bioinformatics 16 (3 …, 2018 | 48 | 2018 |
Epidemiological characteristics of 1212 COVID-19 patients in Henan, China P Wang, J Lu, Y Jin, M Zhu, L Wang, S Chen medRxiv, 2020.02. 21.20026112, 2020 | 45 | 2020 |
Inverse projection group sparse representation for tumor classification: A low rank variation dictionary approach X Yang, X Jiang, C Tian, P Wang, F Zhou, H Fujita Knowledge-Based Systems 196, 105768, 2020 | 40 | 2020 |
Explicit ultimate bound sets of a new hyperchaotic system and its application in estimating the Hausdorff dimension P Wang, Y Zhang, S Tan, L Wan Nonlinear Dynamics 74, 133-142, 2013 | 37 | 2013 |
Spectral learning algorithm reveals propagation capability of complex networks S Xu, P Wang, CX Zhang, JJ Lü IEEE transactions on cybernetics 49 (12), 4253-4261, 2018 | 36 | 2018 |
Graphical features of functional genes in human protein interaction network P Wang, Y Chen, J Lü, Q Wang, X Yu IEEE Transactions on Biomedical Circuits and Systems 10 (3), 707-720, 2015 | 33 | 2015 |
Ultimate boundedness and an attractor for stochastic Hopfield neural networks with time-varying delays L Wan, Q Zhou, P Wang, J Li Nonlinear Analysis: Real World Applications 13 (2), 953-958, 2012 | 32 | 2012 |
Control of genetic regulatory networks: opportunities and challenges P Wang, J Lü Acta Automatica Sinica 39 (12), 1969-1979, 2013 | 31 | 2013 |
IDENTIFYING INFLUENTIAL SPREADERS IN ARTIFICIAL COMPLEX NETWORKS P Wang, C Tian, J Lu J. Syst. Sci. Complex., 15, 2014 | 30 | 2014 |
Duplication and divergence effect on network motifs in undirected bio-molecular networks P Wang, J Lü, X Yu, Z Liu IEEE transactions on biomedical circuits and systems 9 (3), 312-320, 2014 | 29 | 2014 |