| A weighted corrective fuzzy reasoning spiking neural P system for fault diagnosis in power systems with variable topologies T Wang, X Wei, J Wang, T Huang, H Peng, X Song, LV Cabrera, ... Engineering Applications of Artificial Intelligence 92, 103680, 2020 | 110 | 2020 |
| A novel cascading faults graph based transmission network vulnerability assessment method X Wei, J Zhao, T Huang, E Bompard IEEE transactions on power systems 33 (3), 2995-3000, 2017 | 108 | 2017 |
| Complex network-based cascading faults graph for the analysis of transmission network vulnerability X Wei, S Gao, T Huang, E Bompard, R Pi, T Wang IEEE Transactions on Industrial Informatics 15 (3), 1265-1276, 2018 | 90 | 2018 |
| DefGAN: Defect detection GANs with latent space pitting for high-speed railway insulator D Zhang, S Gao, L Yu, G Kang, X Wei, D Zhan IEEE Transactions on Instrumentation and Measurement 70, 1-10, 2020 | 52 | 2020 |
| A fault diagnosis method for power transmission networks based on spiking neural p systems with self‐updating rules considering biological apoptosis mechanism W Liu, T Wang, T Zang, Z Huang, J Wang, T Huang, X Wei, C Li Complexity 2020 (1), 2462647, 2020 | 48 | 2020 |
| Integrated fault propagation model based vulnerability assessment of the electrical cyber-physical system under cyber attacks T Zang, S Gao, B Liu, T Huang, T Wang, X Wei Reliability Engineering & System Safety 189, 232-241, 2019 | 48 | 2019 |
| A robust pantograph–catenary interaction condition monitoring method based on deep convolutional network D Zhang, S Gao, L Yu, G Kang, D Zhan, X Wei IEEE Transactions on Instrumentation and Measurement 69 (5), 1920-1929, 2019 | 46 | 2019 |
| Modeling fault propagation paths in power systems: A new framework based on event SNP systems with neurotransmitter concentration T Wang, XG Wei, T Huang, J Wang, H Peng, MJ Perez-Jimenez, ... IEEE Access 7, 12798-12808, 2019 | 45 | 2019 |
| Sequential-mining-based vulnerable branches identification for the transmission network under continuous load redistribution attacks Y Liu, S Gao, J Shi, X Wei, Z Han IEEE Transactions on Smart Grid 11 (6), 5151-5160, 2020 | 43 | 2020 |
| A novel fault diagnosis method of smart grids based on memory spiking neural P systems considering measurement tampering attacks T Wang, W Liu, LV Cabrera, P Wang, X Wei, T Zang Information Sciences 596, 520-536, 2022 | 40 | 2022 |
| Cascading failures analysis considering extreme virus propagation of cyber‐physical systems in smart grids T Wang, X Wei, T Huang, J Wang, L Valencia-Cabrera, Z Fan, ... Complexity 2019 (1), 7428458, 2019 | 31 | 2019 |
| Complex network-based transmission network vulnerability assessment using adjacent graphs T Zang, S Gao, T Huang, X Wei, T Wang IEEE Systems Journal 14 (1), 572-581, 2019 | 29 | 2019 |
| A reinforcement learning approach for defending against multiscenario load redistribution attacks J Lei, S Gao, J Shi, X Wei, M Dong, W Wang, Z Han IEEE Transactions on Smart Grid 13 (5), 3711-3722, 2022 | 22 | 2022 |
| Identification of two vulnerability features: A new framework for electrical networks based on the load redistribution mechanism of complex networks X Wei, S Gao, T Huang, T Wang, W Fan Complexity 2019 (1), 3531209, 2019 | 22 | 2019 |
| Social energy internet: concept, architecture and outlook X Wei, S Gao, T Zang, T Huang, T Wang, D Li ZHōNGGUó DIàNJ̄I GōNGCHéNG XUéBàO 38 (17), 4969-4986, 2018 | 22 | 2018 |
| Pre-overload-graph-based vulnerable correlation identification under load redistribution attacks Y Liu, S Gao, J Shi, X Wei, Z Han, T Huang IEEE Transactions on Smart Grid 11 (6), 5216-5226, 2020 | 21 | 2020 |
| Cascading fault graph for the analysis of transmission network vulnerability under different attacks X Wei, S Gao, D Li, T Huang, R Pi, T Wang ZHōNGGUó DIàNJ̄I GōNGCHéNG XUéBàO 38 (2), 465-474, 2018 | 20 | 2018 |
| Adaptive deep learning for high-speed railway catenary swivel clevis defects detection S Gao, G Kang, L Yu, D Zhang, X Wei, D Zhan IEEE Transactions on Intelligent Transportation Systems 23 (2), 1299-1310, 2020 | 18 | 2020 |
| Adjacent graph based vulnerability assessment for electrical networks considering fault adjacent relationships among branches T Zang, J Lei, X Wei, T Huang, T Wang, MJ Pérez-Jiménez, H Lin Ieee Access 7, 88927-88936, 2019 | 18 | 2019 |
| Contact wire support defect detection using deep Bayesian segmentation neural networks and prior geometric knowledge G Kang, S Gao, L Yu, D Zhang, X Wei, D Zhan IEEE Access 7, 173366-173376, 2019 | 16 | 2019 |
