| Predictive deep Boltzmann machine for multiperiod wind speed forecasting CY Zhang, CLP Chen, M Gan, L Chen IEEE Transactions on Sustainable Energy 6 (4), 1416-1425, 2015 | 236 | 2015 |
| Fuzzy restricted Boltzmann machine for the enhancement of deep learning CLP Chen, CY Zhang, L Chen, M Gan IEEE Transactions on Fuzzy Systems 23 (6), 2163-2173, 2015 | 235 | 2015 |
| A regularized variable projection algorithm for separable nonlinear least-squares problems GY Chen, M Gan, CLP Chen, HX Li IEEE Transactions on Automatic Control 64 (2), 526-537, 2018 | 182 | 2018 |
| On some separated algorithms for separable nonlinear least squares problems M Gan, CLP Chen, GY Chen, L Chen IEEE Transactions on Cybernetics 48 (10), 2866-2874, 2017 | 166 | 2017 |
| Fine perceptive gans for brain mr image super-resolution in wavelet domain S You, B Lei, S Wang, CK Chui, AC Cheung, Y Liu, M Gan, G Wu, Y Shen IEEE transactions on neural networks and learning systems 34 (11), 8802-8814, 2022 | 154 | 2022 |
| A novel EM identification method for Hammerstein systems with missing output data D Wang, S Zhang, M Gan, J Qiu IEEE Transactions on Industrial Informatics 16 (4), 2500-2508, 2019 | 135 | 2019 |
| Diabetic retinopathy diagnosis using multichannel generative adversarial network with semisupervision S Wang, X Wang, Y Hu, Y Shen, Z Yang, M Gan, B Lei IEEE Transactions on Automation Science and Engineering 18 (2), 574-585, 2020 | 134 | 2020 |
| A variable projection approach for efficient estimation of RBF-ARX model M Gan, HX Li, H Peng IEEE Transactions on Cybernetics 45 (3), 462-471, 2014 | 106 | 2014 |
| Generalized exponential autoregressive models for nonlinear time series: stationarity, estimation and applications G Chen, M Gan, G Chen Information Sciences 438, 46-57, 2018 | 96 | 2018 |
| Multiscale low-light image enhancement network with illumination constraint GD Fan, B Fan, M Gan, GY Chen, CLP Chen IEEE Transactions on Circuits and Systems for Video Technology 32 (11), 7403 …, 2022 | 81 | 2022 |
| A locally linear RBF network-based state-dependent AR model for nonlinear time series modeling M Gan, H Peng, X Peng, X Chen, G Inoussa Information Sciences 180 (22), 4370-4383, 2010 | 81 | 2010 |
| A hybrid algorithm to optimize RBF network architecture and parameters for nonlinear time series prediction M Gan, H Peng, X Dong Applied Mathematical Modelling 36 (7), 2911-2919, 2012 | 73 | 2012 |
| A novel reduced-order algorithm for rational models based on Arnoldi process and Krylov subspace J Chen, B Huang, M Gan, CLP Chen Automatica 129, 109663, 2021 | 70 | 2021 |
| Design a wind speed prediction model using probabilistic fuzzy system G Zhang, HX Li, M Gan IEEE Transactions on Industrial Informatics 8 (4), 819-827, 2012 | 69 | 2012 |
| Modified Gram–Schmidt method-based variable projection algorithm for separable nonlinear models GY Chen, M Gan, F Ding, CLP Chen IEEE Transactions on Neural Networks and Learning Systems 30 (8), 2410-2418, 2018 | 65 | 2018 |
| Term selection for a class of separable nonlinear models M Gan, GY Chen, L Chen, CLP Chen IEEE transactions on neural networks and learning systems 31 (2), 445-451, 2019 | 62 | 2019 |
| Gradient radial basis function based varying-coefficient autoregressive model for nonlinear and nonstationary time series M Gan, CLP Chen, HX Li, L Chen IEEE Signal Processing Letters 22 (7), 809-812, 2014 | 60 | 2014 |
| Recursive variable projection algorithm for a class of separable nonlinear models M Gan, Y Guan, GY Chen, CLP Chen IEEE Transactions on Neural Networks and Learning Systems 32 (11), 4971-4982, 2020 | 55 | 2020 |
| Seasonal and trend time series forecasting based on a quasi-linear autoregressive model M Gan, Y Cheng, K Liu, G Zhang Applied soft computing 24, 13-18, 2014 | 52 | 2014 |
| Stability analysis of RBF network-based state-dependent autoregressive model for nonlinear time series M Gan, H Peng Applied Soft Computing 12 (1), 174-181, 2012 | 49 | 2012 |
