| 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 | 2705 | 2017 |
| Identification of rice diseases using deep convolutional neural networks Y Lu, S Yi, N Zeng, Y Liu, Y Zhang Neurocomputing 267, 378-384, 2017 | 666 | 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 | 453 | 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 | 224 | 2018 |
| A fast fractal based compression for MRI images S Liu, W Bai, N Zeng, S Wang IEEE Access 7, 62412-62420, 2019 | 201 | 2019 |
| 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 | 174 | 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, 684-692, 2016 | 157 | 2016 |
| An improved particle filter with a novel hybrid proposal distribution for quantitative analysis of gold immunochromatographic strips N Zeng, Z Wang, H Zhang, KE Kim, Y Li, X Liu IEEE Transactions on Nanotechnology 18, 819-829, 2019 | 144 | 2019 |
| Image-based quantitative analysis of gold immunochromatographic strip via cellular neural network approach N Zeng, Z Wang, B Zineddin, Y Li, M Du, L Xiao, X Liu, T Young IEEE Transactions on Medical Imaging 33 (5), 1129-1136, 2014 | 143 | 2014 |
| Position-transitional particle swarm optimization-incorporated latent factor analysis X Luo, Y Yuan, S Chen, N Zeng, Z Wang IEEE Transactions on Knowledge and Data Engineering 34 (8), 3958-3970, 2020 | 135 | 2020 |
| A review on transfer learning in EEG signal analysis Z Wan, R Yang, M Huang, N Zeng, X Liu Neurocomputing 421, 1-14, 2021 | 133 | 2021 |
| 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 | 126 | 2019 |
| A novel switching delayed PSO algorithm for estimating unknown parameters of lateral flow immunoassay N Zeng, Z Wang, H Zhang, FE Alsaadi Cognitive Computation 8, 143-152, 2016 | 126 | 2016 |
| A hybrid EKF and switching PSO algorithm for joint state and parameter estimation of lateral flow immunoassay models N Zeng, Z Wang, Y Li, M Du, X Liu IEEE/ACM Transactions on Computational Biology and Bioinformatics 9 (2), 321-329, 2011 | 118 | 2011 |
| 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 | 112 | 2021 |
| 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 | 112 | 2018 |
| Generative adversarial networks and its applications in biomedical informatics L Lan, L You, Z Zhang, Z Fan, W Zhao, N Zeng, Y Chen, X Zhou Frontiers in Public Health 8, 164, 2020 | 107 | 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 52 (9), 9290-9301, 2020 | 106 | 2020 |
| An intelligent gear fault diagnosis methodology using a complex wavelet enhanced convolutional neural network W Sun, B Yao, N Zeng, B Chen, Y He, X Cao, W He Materials 10 (7), 790, 2017 | 103 | 2017 |
| Inferring nonlinear lateral flow immunoassay state-space models via an unscented Kalman filter N Zeng, Z Wang, H Zhang Springer Verlag, 2016 | 88 | 2016 |
Zidong WangChair Professor, MAE, MEASA, FIEEE, Brunel University London, UKПодтвержден адрес электронной почты в домене brunel.ac.uk
