| A learning convolutional neural network approach for network robustness prediction Y Lou, R Wu, J Li, L Wang, X Li, G Chen IEEE Transactions on Cybernetics 53 (7), 4531-4544, 2022 | 45 | 2022 |
| A convolutional neural network approach to predicting network connectedness robustness Y Lou, R Wu, J Li, L Wang, G Chen IEEE Transactions on Network Science and Engineering 8 (4), 3209-3219, 2021 | 36 | 2021 |
| Classification-based prediction of network connectivity robustness Y Lou, R Wu, J Li, L Wang, CB Tang, G Chen Neural Networks 157, 136-146, 2023 | 18 | 2023 |
| An adaptive attack model to network controllability S Li, W Liu, R Wu, J Li Reliability Engineering & System Safety 235, 109252, 2023 | 15 | 2023 |
| Predicting the robustness of real-world complex networks R Wu, J Huang, Z Yu, J Li IEEE Access 10, 94376-94387, 2022 | 2 | 2022 |
| Complex network robustness prediction using attention-augmented CNN J Huang, R Wu, J Li Neural Computing and Applications 36 (13), 7279-7294, 2024 | 1 | 2024 |
| Enhancing network robustness with structural prior and evolutionary techniques J Huang, R Wu, J Li Information Sciences 690, 121529, 2025 | | 2025 |
| A Multi-Convolutional Neural Network Framework For Network Connectivity Robustness Prediction R Wu, J Li, Z Yu, S Li 2021 China Automation Congress (CAC), 613-618, 2021 | | 2021 |
