| A survey of deep neural network architectures and their applications W Liu, Z Wang, X Liu, N Zeng, Y Liu, FE Alsaadi Neurocomputing 234, 11-26, 2017 | 1369 | 2017 |
| Facial expression recognition via learning deep sparse autoencoders N Zeng, H Zhang, B Song, W Liu, Y Li, AM Dobaie Neurocomputing 273, 643-649, 2018 | 268 | 2018 |
| Deep belief networks for quantitative analysis of a gold immunochromatographic strip N Zeng, Z Wang, H Zhang, W Liu, FE Alsaadi Cognitive Computation 8 (4), 684-692, 2016 | 133 | 2016 |
| A switching delayed PSO optimized extreme learning machine for short-term load forecasting N Zeng, H Zhang, W Liu, J Liang, FE Alsaadi Neurocomputing 240, 175-182, 2017 | 115 | 2017 |
| A new switching-delayed-PSO-based optimized SVM algorithm for diagnosis of Alzheimer’s disease N Zeng, H Qiu, Z Wang, W Liu, H Zhang, Y Li Neurocomputing 320, 195-202, 2018 | 111 | 2018 |
| Exponential stability of Markovian jumping Cohen–Grossberg neural networks with mixed mode-dependent time-delays Y Liu, W Liu, MA Obaid, IA Abbas Neurocomputing 177, 409-415, 2016 | 107 | 2016 |
| Event-triggered partial-nodes-based state estimation for delayed complex networks with bounded distributed delays Y Liu, Z Wang, Y Yuan, W Liu IEEE Transactions on Systems, Man, and Cybernetics: Systems 49 (6), 1088-1098, 2017 | 57 | 2017 |
| A novel particle swarm optimization approach for patient clustering from emergency departments W Liu, Z Wang, X Liu, N Zeng, D Bell IEEE Transactions on Evolutionary Computation 23 (4), 632-644, 2018 | 35 | 2018 |
| Deep-Reinforcement-Learning-Based Images Segmentation for Quantitative Analysis of Gold Immunochromatographic Strip N Zeng, H Li, Z Wang, W Liu, S Liu, FE Alsaadi, X Liu Neurocomputing, 2020 | 17 | 2020 |
| A Novel Sigmoid-Function-Based Adaptive Weighted Particle Swarm Optimizer W Liu, Z Wang, Y Yuan, N Zeng, K Hone, X Liu IEEE transactions on cybernetics, 2019 | 11 | 2019 |
| Event-triggered resilient filtering with missing measurements Q Liu, Z Wang, W Liu, W Li 2016 22nd International Conference on Automation and Computing (ICAC), 162-167, 2016 | 4 | 2016 |
| An N-State Markovian Jumping Particle Swarm Optimization Algorithm IU Rahman, Z Wang, W Liu, B Ye, M Zakarya, X Liu IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020 | 3 | 2020 |
| A Dynamic Neighborhood-Based Switching Particle Swarm Optimization Algorithm. N Zeng, Z Wang, W Liu, H Zhang, K Hone, X Liu IEEE Transactions on Cybernetics, 2020 | 1 | 2020 |
| A novel randomised particle swarm optimizer W Liu, Z Wang, N Zeng, Y Yuan, FE Alsaadi, X Liu International Journal of Machine Learning and Cybernetics, 1-12, 2020 | 1 | 2020 |
| A Deep Learning Approach for Classifying Patient Attendance Disposal from Emergency Departments W Liu, Z Wang, L Hu, X Liu 2019 IEEE 15th International Conference on Control and Automation (ICCA …, 2019 | 1 | 2019 |
| A clustering approach to triage categorization in A&E departments W Liu, Z Wang, X Liu, W Yue, D Bell 2017 23rd International Conference on Automation and Computing (ICAC), 1-6, 2017 | 1 | 2017 |
| An optimally weighted user-and item-based collaborative filtering approach to predicting baseline data for Friedreich’s Ataxia patients W Yue, Z Wang, W Liu, B Tian, S Lauria, X Liu Neurocomputing 419, 287-294, 0 | | |
Zidong WangChair Professor, MAE, FIEEE, Brunel University London, UKVerified email at brunel.ac.uk
