| Pinning control for the disturbance decoupling problem of Boolean networks Y Liu, B Li, J Lu, J Cao IEEE Transactions on Automatic Control 62 (12), 6595-6601, 2017 | 159 | 2017 |
| Function perturbations on singular Boolean networks Y Liu, B Li, H Chen, J Cao Automatica 84, 36-42, 2017 | 122 | 2017 |
| Event-triggered control for the disturbance decoupling problem of Boolean control networks B Li, Y Liu, KI Kou, L Yu IEEE transactions on cybernetics 48 (9), 2764-2769, 2017 | 93 | 2017 |
| A novel synthesis method for reliable feedback shift registers via Boolean networks J Lu, B Li, J Zhong Science China Information Sciences 64, 1-14, 2021 | 63 | 2021 |
| A necessary and sufficient graphic condition for the original disturbance decoupling of Boolean networks Y Li, J Zhu, B Li, Y Liu, J Lu IEEE Transactions on Automatic Control 66 (8), 3765-3772, 2020 | 48 | 2020 |
| Steady-state design of large-dimensional Boolean networks J Zhong, B Li, Y Liu, J Lu, W Gui IEEE Transactions on Neural Networks and Learning Systems 32 (3), 1149-1161, 2020 | 46 | 2020 |
| Output feedback stabilizer design of Boolean networks based on network structure J Zhong, B Li, Y Liu, W Gui Frontiers of Information Technology & Electronic Engineering 21 (2), 247-259, 2020 | 42 | 2020 |
| The outputs robustness of Boolean control networks via pinning control B Li, J Lu, Y Liu, ZG Wu IEEE Transactions on Control of Network Systems 7 (1), 201-209, 2019 | 41 | 2019 |
| Disturbance decoupling of singular Boolean control networks Y Liu, B Li, J Lou IEEE/ACM Transactions on Computational Biology and Bioinformatics 13 (6 …, 2015 | 35 | 2015 |
| Robust invariant set analysis of Boolean networks B Li, J Lou, Y Liu, Z Wang Complexity 2019 (1), 2731395, 2019 | 29 | 2019 |
| Normalization and solvability of dynamic-algebraic Boolean networks Y Liu, J Cao, B Li, J Lu IEEE transactions on neural networks and learning systems 29 (7), 3301-3306, 2017 | 24 | 2017 |
| Boolean-network-based approach for construction of filter generators B Li, J Lu Science China Information Sciences 63, 1-13, 2020 | 22 | 2020 |
| Fast-time stability of temporal Boolean networks B Li, J Lu, J Zhong, Y Liu IEEE transactions on neural networks and learning systems 30 (8), 2285-2294, 2018 | 22 | 2018 |
| A unified transform method for general robust property of probabilistic Boolean control networks S Dai, B Li, J Lu, J Zhong, Y Liu Applied Mathematics and Computation 457, 128137, 2023 | 15 | 2023 |
| The robustness of outputs with respect to disturbances for Boolean control networks B Li, Y Liu, J Lou, J Lu, J Cao IEEE transactions on neural networks and learning systems 31 (3), 1046-1051, 2019 | 15 | 2019 |
| Finite‐time observability of probabilistic Boolean control networks Q Pan, J Zhong, L Lin, B Li, X Liu Asian Journal of Control 25 (1), 325-334, 2023 | 13 | 2023 |
| Data-driven state prediction and sensor fault diagnosis for multi-agent systems with application to a twin rotational inverted pendulum X Lu, X Liu, B Li, J Zhong Processes 9 (9), 1505, 2021 | 10 | 2021 |
| The local convergence of Boolean networks with disturbances B Li, J Lu, Y Liu, WX Zheng IEEE Transactions on Circuits and Systems II: Express Briefs 66 (4), 667-671, 2018 | 10 | 2018 |
| Minimal pinning control for oscillatority of Boolean networks J Zhong, Q Pan, B Li, J Lu IEEE Transactions on Neural Networks and Learning Systems 34 (9), 6237-6249, 2021 | 9 | 2021 |
| Event-triggered set stabilization of impulsive logical control networks based on the hybrid index model approach X Liu, B Li, J Zhong, D Li, L Lin Communications in Nonlinear Science and Numerical Simulation 119, 107085, 2023 | 7 | 2023 |
