| Universal framework for edge controllability of complex networks SP Pang, WX Wang, F Hao, YC Lai Scientific reports 7 (1), 4224, 2017 | 39 | 2017 |
| Deep convolution generative adversarial network-based electroencephalogram data augmentation for post-stroke rehabilitation with motor imagery F Xu, G Dong, J Li, Q Yang, L Wang, Y Zhao, Y Yan, J Zhao, S Pang, ... International journal of neural systems 32 (09), 2250039, 2022 | 33 | 2022 |
| An LCOR model for suppressing cascading failure in weighted complex networks SM Chen, SP Pang, XQ Zou Chinese Physics B 22 (5), 058901, 2013 | 27 | 2013 |
| A framework for motor imagery with LSTM neural network F Xu, X Xu, Y Sun, J Li, G Dong, Y Wang, H Li, L Wang, Y Zhang, S Pang, ... Computer methods and programs in biomedicine 218, 106692, 2022 | 18 | 2022 |
| Two-dimensional ECG-based cardiac arrhythmia classification using DSE-ResNet J Li, S Pang, F Xu, P Ji, S Zhou, M Shu Scientific Reports 12 (1), 14485, 2022 | 16 | 2022 |
| Optimizing controllability of edge dynamics in complex networks by perturbing network structure S Pang, F Hao Physica A: Statistical Mechanics and Its Applications 470, 217-227, 2017 | 14 | 2017 |
| Robustness of controlling edge dynamics in complex networks against node failure SP Pang, F Hao, WX Wang Physical Review E 94 (5), 052310, 2016 | 14 | 2016 |
| Target control of edge dynamics in complex networks SP Pang, F Hao Physica A: Statistical Mechanics and its Applications 512, 14-26, 2018 | 13 | 2018 |
| Controlling edge dynamics in multilayer networks SP Pang, C Li, C Fang, GZ Han Physica A: Statistical Mechanics and its Applications 528, 121273, 2019 | 12 | 2019 |
| Controllability limit of edge dynamics in complex networks SP Pang, WX Wang, F Hao Physical Review E 100 (2), 022318, 2019 | 12 | 2019 |
| Energy storage sizing optimization and sensitivity analysis based on wind power forecast error compensation X Yu, X Dong, S Pang, L Zhou, H Zang Energies 12 (24), 4755, 2019 | 10 | 2019 |
| Robustness optimization of load-capacity nonlinear model in weighted network for cascading failure S Chen, S Pang, X Zou, H Fang, Y Chen Control and Decision 28 (7), 1041-1045, 2013 | 10 | 2013 |
| Controllable subspace of edge dynamics in complex networks SP Pang, F Hao Physica A: Statistical Mechanics and its Applications 481, 209-223, 2017 | 8 | 2017 |
| Effect of degree correlation on edge controllability of real networks SL Liu, SP Pang Chinese Physics B 29 (10), 100202, 2020 | 7 | 2020 |
| Modeling and optimization of train scheduling network based on invulnerability analysis S Chen, J Jiang, S Pang, S Nie, Y Lai Applied Mathematics & Information Sciences 7 (1), 113-119, 2013 | 7 | 2013 |
| Optimization of wind farm self-discipline interval and energy storage system configuration X Yu, W Zhang, X Dong, S Liu, S Pang, H Zang IEEE Access 8, 79114-79123, 2020 | 4 | 2020 |
| The role of individual edges in edge controllability of complex networks C Li, S Pang IEEE Access 8, 63559-63566, 2020 | 4 | 2020 |
| Effect of interaction strength on robustness of controlling edge dynamics in complex networks SP Pang, F Hao Physica A: Statistical Mechanics and its Applications 497, 246-257, 2018 | 4 | 2018 |
| Structural controllability and observability of complex network with output feedback S Pang, Z Tian, W Ma Physica A: Statistical Mechanics and its Applications 620, 128790, 2023 | 2 | 2023 |
| A 12-lead ECG correlation network model exploring the inter-lead relationships C Zhang, J Li, S Pang, F Xu, S Zhou Europhysics Letters 140 (3), 31001, 2022 | 2 | 2022 |
