A comparative study of network robustness measures J Liu, M Zhou, S Wang, P Liu Frontiers of Computer Science 11, 568-584, 2017 | 72 | 2017 |
Finding influential nodes in multiplex networks using a memetic algorithm S Wang, J Liu, Y Jin IEEE Transactions on Cybernetics 51 (2), 900-912, 2019 | 63 | 2019 |
Designing comprehensively robust networks against intentional attacks and cascading failures S Wang, J Liu Information Sciences 478, 125-140, 2019 | 56 | 2019 |
Robustness of single and interdependent scale-free interaction networks with various parameters S Wang, J Liu Physica A: Statistical Mechanics and its Applications 460, 139-151, 2016 | 45 | 2016 |
Surrogate-assisted robust optimization of large-scale networks based on graph embedding S Wang, J Liu, Y Jin IEEE Transactions on Evolutionary Computation 24 (4), 735-749, 2019 | 42 | 2019 |
A computationally efficient evolutionary algorithm for multiobjective network robustness optimization S Wang, J Liu, Y Jin IEEE Transactions on Evolutionary Computation 25 (3), 419-432, 2021 | 37 | 2021 |
A multi-objective evolutionary algorithm for promoting the emergence of cooperation and controllable robustness on directed networks S Wang, J Liu IEEE Transactions on Network Science and Engineering 5 (2), 92-100, 2017 | 34 | 2017 |
Constructing robust community structure against edge-based attacks S Wang, J Liu IEEE Systems Journal 13 (1), 582-592, 2018 | 31 | 2018 |
Mitigation of attacks and errors on community structure in complex networks S Wang, J Liu, X Wang Journal of Statistical Mechanics: Theory and Experiment 2017 (4), 043405, 2017 | 25 | 2017 |
Community robustness and its enhancement in interdependent networks S Wang, J Liu Applied Soft Computing 77, 665-677, 2019 | 23 | 2019 |
Constructing robust cooperative networks using a multi-objective evolutionary algorithm S Wang, J Liu Scientific Reports 7 (1), 41600, 2017 | 21 | 2017 |
Reconstructing networks from profit sequences in evolutionary games via a multiobjective optimization approach with lasso initialization K Wu, J Liu, S Wang Scientific Reports 6 (1), 37771, 2016 | 20 | 2016 |
A Memetic algorithm for determining robust and influential seeds against structural perturbances in competitive networks S Wang, X Tan Information Sciences 621, 389-406, 2023 | 14 | 2023 |
Determining seeds with robust influential ability from multi-layer networks: A multi-factorial evolutionary approach S Wang, X Tan Knowledge-Based Systems 246, 108697, 2022 | 13 | 2022 |
Solving the robust influence maximization problem on multi-layer networks via a memetic algorithm S Wang, X Tan Applied Soft Computing 121, 108750, 2022 | 12 | 2022 |
Enhancing the robustness of complex networks against edge-based-attack cascading failures S Wang, J Liu 2017 IEEE Congress on Evolutionary Computation (CEC), 23-28, 2017 | 11 | 2017 |
Enhancing the robustness of networks against multiple damage models using a multifactorial evolutionary algorithm S Wang, Y Jin, M Cai IEEE Transactions on Systems, Man, and Cybernetics: Systems 53 (7), 4176-4188, 2023 | 9 | 2023 |
Robust structural balance in signed networks using a multiobjective evolutionary algorithm S Wang, J Liu, Y Jin IEEE Computational Intelligence Magazine 15 (2), 24-35, 2020 | 8 | 2020 |
The effect of link-based topological changes and recoveries on the robustness of cooperation on scale-free networks S Wang, J Liu The European Physical Journal Plus 131, 1-7, 2016 | 8 | 2016 |
Enhancing the robustness of influential seeds towards structural failures on competitive networks via a memetic algorithm S Wang, W Liu Knowledge-Based Systems 275, 110677, 2023 | 7 | 2023 |