| Orthogonal Least Squares Learning Algorithm for Radial S Chen, CFN Cowan, PM Grant IEEE Transactions on neural networks 2 (2), 303, 1991 | 4822 | 1991 |
| Orthogonal least squares methods and their application to non-linear system identification S Chen, SA Billings, W Luo International Journal of control 50 (5), 1873-1896, 1989 | 2014 | 1989 |
| Non-linear system identification using neural networks S Chen, SA Billings, PM Grant International journal of control 51 (6), 1191-1214, 1990 | 1468 | 1990 |
| Representations of non-linear systems: the NARMAX model S Chen, SA Billings International journal of control 49 (3), 1013-1032, 1989 | 1271 | 1989 |
| A clustering technique for digital communications channel equalization using radial basis function networks S Chen, B Mulgrew, PM Grant IEEE Transactions on neural networks 4 (4), 570-590, 1993 | 1215 | 1993 |
| Neural networks for nonlinear dynamic system modelling and identification S Chen, SA Billings International Journal of Control 56 (2), 319-346, 1992 | 1043 | 1992 |
| A survey of non-orthogonal multiple access for 5G L Dai, B Wang, Z Ding, Z Wang, S Chen, L Hanzo IEEE communications surveys & tutorials 20 (3), 2294-2323, 2018 | 1013 | 2018 |
| Vehicular fog computing: A viewpoint of vehicles as the infrastructures X Hou, Y Li, M Chen, D Wu, D Jin, S Chen IEEE Transactions on Vehicular Technology 65 (6), 3860-3873, 2016 | 892 | 2016 |
| Identification of MIMO non-linear systems using a forward-regression orthogonal estimator SA Billings, S Chen, MJ Korenberg International journal of control 49 (6), 2157-2189, 1989 | 693 | 1989 |
| Recursive hybrid algorithm for non-linear system identification using radial basis function networks S Chen, SA Billings, PM Grant International Journal of Control 55 (5), 1051-1070, 1992 | 473 | 1992 |
| Practical identification of NARMAX models using radial basis functions S Chen, SA Billings, CFN Cowan, PM Grant International Journal of control 52 (6), 1327-1350, 1990 | 459 | 1990 |
| Spatially common sparsity based adaptive channel estimation and feedback for FDD massive MIMO Z Gao, L Dai, Z Wang, S Chen IEEE Transactions on Signal Processing 63 (23), 6169-6183, 2015 | 428 | 2015 |
| Properties of neural networks with applications to modelling non-linear dynamical systems SA Billings, HB Jamaluddin, S Chen International Journal of Control 55 (1), 193-224, 1992 | 389 | 1992 |
| Adaptive equalization of finite non-linear channels using multilayer perceptrons S Chen, GJ Gibson, CFN Cowan, PM Grant Signal processing 20 (2), 107-119, 1990 | 385 | 1990 |
| Coherent and differential space-time shift keying: A dispersion matrix approach S Sugiura, S Chen, L Hanzo IEEE Transactions on Communications 58 (11), 3219-3230, 2010 | 313 | 2010 |
| Combined genetic algorithm optimization and regularized orthogonal least squares learning for radial basis function networks S Chen, Y Wu, BL Luk IEEE Transactions on Neural Networks 10 (5), 1239-1243, 1999 | 312 | 1999 |
| Regularized orthogonal least squares algorithm for constructing radial basis function networks S Chen, ES Chng, K Alkadhimi International journal of control 64 (5), 829-837, 1996 | 308 | 1996 |
| Sparse modeling using orthogonal forward regression with PRESS statistic and regularization S Chen, X Hong, CJ Harris, PM Sharkey IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 34 …, 2004 | 302 | 2004 |
| Identification of non-linear output-affine systems using an orthogonal least-squares algorithm SA Billings, MJ Korenberg, S Chen International Journal of Systems Science 19 (8), 1559-1568, 1988 | 282 | 1988 |
| Adaptive Bayesian equalizer with decision feedback S Chen, B Mulgrew, S McLaughlin IEEE Transactions on Signal Processing 41 (9), 2918-2927, 1993 | 276 | 1993 |
L HanzoChair of Telecommunications, University of SouthamptonVerified email at ecs.soton.ac.uk
