| Wind power forecasting methods based on deep learning: A survey X Deng, H Shao, C Hu, D Jiang, Y Jiang Computer Modeling in Engineering & Sciences 122 (1), 273-302, 2020 | 79 | 2020 |
| A novel deep learning approach for short-term wind power forecasting based on infinite feature selection and recurrent neural network H Shao, X Deng, Y Jiang Journal of renewable and sustainable energy 10 (4), 2018 | 60 | 2018 |
| Short‐term wind speed forecasting using the wavelet decomposition and AdaBoost technique in wind farm of East China H Shao, X Deng, F Cui IET Generation, Transmission & Distribution 10 (11), 2585-2592, 2016 | 50 | 2016 |
| A classification–detection approach of COVID-19 based on chest X-ray and CT by using keras pre-trained deep learning models X Deng, H Shao, L Shi, X Wang, T Xie Computer Modeling in Engineering & Sciences 125 (2), 579-596, 2020 | 42 | 2020 |
| Global synchronization of weighted cellular neural network with time-varying coupling delays G Cai, Q Yao, H Shao Communications in Nonlinear Science and Numerical Simulation 17 (10), 3843-3847, 2012 | 42 | 2012 |
| Short‐term wind speed forecasting using wavelet transformation and AdaBoosting neural networks in Yunnan wind farm H Shao, H Wei, X Deng, S Xing IET Renewable Power Generation 11 (4), 374-381, 2017 | 40 | 2017 |
| Efficient 3D face recognition using local covariance descriptor and Riemannian kernel sparse coding X Deng, F Da, H Shao Computers & Electrical Engineering 62, 81-91, 2017 | 23 | 2017 |
| Short-term wind power forecasting using model structure selection and data fusion techniques H Shao, X Deng International Journal of Electrical Power & Energy Systems 83, 79-86, 2016 | 23 | 2016 |
| Existence and global stability of a periodic solution for a cellular neural network L Wang, J Zhang, H Shao Communications in Nonlinear Science and Numerical Simulation 19 (9), 2983-2992, 2014 | 21 | 2014 |
| A multi-scale three-dimensional face recognition approach with sparse representation-based classifier and fusion of local covariance descriptors X Deng, F Da, H Shao, Y Jiang Computers & Electrical Engineering 85, 106700, 2020 | 19 | 2020 |
| AdaBoosting neural network for short-term wind speed forecasting based on seasonal characteristics analysis and lag space estimation H Shao, X Deng Computer Modeling in Engineering & Sciences 114 (3), 277-293, 2018 | 18 | 2018 |
| Synchronization-based approach for parameter identification in delayed chaotic network C Guo-Liang, S Hai-Jian Chinese Physics B 19 (6), 060507, 2010 | 18 | 2010 |
| Image segmentation based on mathematical morphological operator J Chen, H Shao, C Hu Colorimetry and Image Processing, 2017 | 13 | 2017 |
| Deep Learning Applications for COVID-19 Analysis: A State-of-the-Art Survey. W Li, X Deng, H Shao, X Wang CMES-Computer Modeling in Engineering & Sciences 129 (1), 2021 | 12 | 2021 |
| An linear matrix inequality approach to global synchronisation of non-parameter perturbations of multi-delay Hopfield neural network HJ Shao, GL Cai, HX Wang Chinese Physics B 19 (11), 110512, 2010 | 11 | 2010 |
| CNN-based hidden-layer topological structure design and optimization methods for image classification J Liu, H Shao, Y Jiang, X Deng Neural Processing Letters 54 (4), 2831-2842, 2022 | 9 | 2022 |
| Using a model structure selection technique to forecast short-term wind speed for a wind power plant in North China H Wei, H Shao, X Deng Journal of Energy Engineering 142 (1), 04015005, 2016 | 9 | 2016 |
| A Linear Matrix Inequality approach to global synchronization of multi-delay Hopfield Neural Networks with parameter perturbations GL Cai, HJ Shao, Q Yao Chin. J. Phys 50, 86-99, 2012 | 9 | 2012 |
| Expression-robust 3D face recognition based on feature-level fusion and feature-region fusion X Deng, F Da, H Shao Multimedia Tools and Applications 76, 13-31, 2017 | 8 | 2017 |
| MNIST Handwritten Digit Classification Based on Convolutional Neural Network with Hyperparameter Optimization. H Shao, E Ma, M Zhu, X Deng, S Zhai Intelligent Automation & Soft Computing 36 (3), 2023 | 6 | 2023 |
