| 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 | 3867 | 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 | 575 | 2018 |
| 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 | 446 | 2022 |
| 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 | 317 | 2018 |
| 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 | 307 | 2019 |
| 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 | 258 | 2020 |
| 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 | 226 | 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 | 169 | 2016 |
| 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 | 162 | 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 | 155 | 2016 |
| 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 | 145 | 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 | 115 | 2017 |
| 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 | 94 | 2021 |
| An overview of data-driven battery health estimation technology for battery management system M Chen, G Ma, W Liu, N Zeng, X Luo Neurocomputing 532, 152-169, 2023 | 87 | 2023 |
| A Survey of Algorithms, Applications and Trends for Particle Swarm Optimization J Fang, W Liu, L Chen, S Lauria, A Miron, X Liu International Journal of Network Dynamics and Intelligence, 24-50, 2023 | 74 | 2023 |
| An optimized CNN-BiLSTM network for bearing fault diagnosis under multiple working conditions with limited training samples B Song, Y Liu, J Fang, W Liu, M Zhong, X Liu Neurocomputing 574, 127284, 2024 | 59 | 2024 |
| 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 | 51 | 2021 |
| A two-stage integrated method for early prediction of remaining useful life of lithium-ion batteries G Ma, Z Wang, W Liu, J Fang, Y Zhang, H Ding, Y Yuan Knowledge-Based Systems 259, 110012, 2023 | 49 | 2023 |
| A new particle swarm optimization algorithm for outlier detection: Industrial data clustering in wire arc additive manufacturing J Fang, Z Wang, W Liu, S Lauria, N Zeng, C Prieto, F Sikström, X Liu IEEE Transactions on Automation Science and Engineering 21 (2), 1244-1257, 2022 | 48 | 2022 |
| 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 | 48 | 2021 |
Zidong WangChair Professor, MAE, MEASA, FIEEE, Brunel University London, UKOverená e-mailová adresa na: brunel.ac.uk
