| 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 | 2828 | 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 | 470 | 2018 |
| 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 | 236 | 2018 |
| 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 | 181 | 2017 |
| 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 | 159 | 2016 |
| 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 51 (2), 1085-1093, 2019 | 143 | 2019 |
| 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 | 124 | 2016 |
| 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 52 (9), 9290-9301, 2020 | 120 | 2020 |
| 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 | 118 | 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 425, 173-180, 2021 | 114 | 2021 |
| 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 | 100 | 2017 |
| A small-sized object detection oriented multi-scale feature fusion approach with application to defect detection N Zeng, P Wu, Z Wang, H Li, W Liu, X Liu IEEE Transactions on Instrumentation and Measurement 71, 1-14, 2022 | 91 | 2022 |
| 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 12 (2), 529-540, 2021 | 54 | 2021 |
| A PSO-based deep learning approach to classifying patients from emergency departments W Liu, Z Wang, N Zeng, FE Alsaadi, X Liu International Journal of Machine Learning and Cybernetics 12 (7), 1939-1948, 2021 | 35 | 2021 |
| 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, 2021 | 29 | 2021 |
| 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 51 (11), 6626-6638, 2020 | 24 | 2020 |
| Melt pool segmentation for additive manufacturing: A generative adversarial network approach W Liu, Z Wang, L Tian, S Lauria, X Liu Computers & Electrical Engineering 92, 107183, 2021 | 16 | 2021 |
| EEG fading data classification based on improved manifold learning with adaptive neighborhood selection Z Wan, R Yang, M Huang, W Liu, N Zeng Neurocomputing 482, 186-196, 2022 | 15 | 2022 |
| An improved generative adversarial network with modified loss function for crack detection in electromagnetic nondestructive testing L Tian, Z Wang, W Liu, Y Cheng, FE Alsaadi, X Liu Complex & Intelligent Systems 8 (1), 467-476, 2022 | 10 | 2022 |
| A particle swarm optimizer with multi-level population sampling and dynamic p-learning mechanisms for large-scale optimization M Sheng, Z Wang, W Liu, X Wang, S Chen, X Liu Knowledge-Based Systems 242, 108382, 2022 | 9 | 2022 |
Zidong WangChair Professor, MAE, MEASA, FIEEE, Brunel University London, UKПодтвержден адрес электронной почты в домене brunel.ac.uk
