| Low-level interpretability and high-level interpretability: a unified view of data-driven interpretable fuzzy system modelling SM Zhou, JQ Gan Fuzzy sets and systems 159 (23), 3091-3131, 2008 | 309 | 2008 |
| Classifying mental tasks based on features of higher-order statistics from EEG signals in brain–computer interface SM Zhou, JQ Gan, F Sepulveda Information Sciences 178 (6), 1629-1640, 2008 | 271 | 2008 |
| Type-1 OWA operators for aggregating uncertain information with uncertain weights induced by type-2 linguistic quantifiers SM Zhou, F Chiclana, RI John, JM Garibaldi Fuzzy Sets and Systems 159 (24), 3281-3296, 2008 | 175 | 2008 |
| The effect of physical activity and motivation on function in ankylosing spondylitis: A cohort study S Brophy, R Cooksey, H Davies, MS Dennis, SM Zhou, S Siebert Seminars in arthritis and rheumatism 42 (6), 619-626, 2013 | 100 | 2013 |
| Covariate shift estimation based adaptive ensemble learning for handling non-stationarity in motor imagery related EEG-based brain-computer interface H Raza, D Rathee, SM Zhou, H Cecotti, G Prasad Neurocomputing 343, 154-166, 2019 | 93 | 2019 |
| Defining disease phenotypes in primary care electronic health records by a machine learning approach: a case study in identifying rheumatoid arthritis SM Zhou, F Fernandez-Gutierrez, J Kennedy, R Cooksey, M Atkinson, ... PloS one 11 (5), e0154515, 2016 | 88 | 2016 |
| Guest EditorialIntegrated Healthcare Information Systems L Li, RL Ge, SM Zhou, R Valerdi IEEE Transactions on Information Technology in Biomedicine 16 (4), 515-517, 2012 | 83 | 2012 |
| No Increased Rate of Acute Myocardial Infarction or Stroke Among Patients with Ankylosing Spondylitis—A Retrospective Cohort Study Using Routine Data S Brophy, R Cooksey, M Atkinson, SM Zhou, MJ Husain, S Macey, ... Seminars in Arthritis and Rheumatism 42 (2), 140-145, 2012 | 83 | 2012 |
| On aggregating uncertain information by type‐2 OWA operators for soft decision making SM Zhou, RI John, F Chiclana, JM Garibaldi International Journal of Intelligent Systems 25 (6), 540-558, 2010 | 82 | 2010 |
| Alpha-level aggregation: a practical approach to type-1 OWA operation for aggregating uncertain information with applications to breast cancer treatments SM Zhou, F Chiclana, RI John, JM Garibaldi IEEE Transactions on Knowledge and Data Engineering 23 (10), 1455-1468, 2010 | 77 | 2010 |
| Constructing L2-SVM-based fuzzy classifiers in high-dimensional space with automatic model selection and fuzzy rule ranking SM Zhou, JQ Gan IEEE Transactions on Fuzzy Systems 15 (3), 398-409, 2007 | 77 | 2007 |
| On constructing parsimonious type-2 fuzzy logic systems via influential rule selection SM Zhou, JM Garibaldi, RI John, F Chiclana IEEE Transactions on Fuzzy Systems 17 (3), 654-667, 2008 | 74 | 2008 |
| Type-1 OWA methodology to consensus reaching processes in multi-granular linguistic contexts F Mata, LG Pérez, SM Zhou, F Chiclana Knowledge-Based Systems 58, 11-22, 2014 | 70 | 2014 |
| A new type of recurrent fuzzy neural network for modeling dynamic systems SM Zhou, L Da Xu Knowledge-Based Systems 14 (5-6), 243-251, 2001 | 69 | 2001 |
| Incidence ofCampylobacterandSalmonellaInfections Following First Prescription for PPI: A Cohort Study Using Routine Data S Brophy, KH Jones, MA Rahman, SM Zhou, A John, MD Atkinson, ... Official journal of the American College of Gastroenterology| ACG 108 (7 …, 2013 | 67 | 2013 |
| Introduction: Advances in IoT research and applications P Wang, R Valerdi, S Zhou, L Li Information Systems Frontiers 17, 239-241, 2015 | 63 | 2015 |
| Type‐Reduction of General Type‐2 Fuzzy Sets: The Type‐1 OWA Approach F Chiclana, SM Zhou International Journal of Intelligent Systems 28 (5), 505–522, 2013 | 60 | 2013 |
| A novel Bayesian learning method for information aggregation in modular neural networks P Wang, L Xu, SM Zhou, Z Fan, Y Li, S Feng Expert Systems with Applications 37 (2), 1071-1074, 2010 | 55 | 2010 |
| Physical activity and excess weight in pregnancy have independent and unique effects on delivery and perinatal outcomes KL Morgan, MA Rahman, RA Hill, SM Zhou, G Bijlsma, A Khanom, ... PLoS One 9 (4), e94532, 2014 | 50 | 2014 |
| Incorporation of expert variability into breast cancer treatment recommendation in designing clinical protocol guided fuzzy rule system models JM Garibaldi, SM Zhou, XY Wang, RI John, IO Ellis Journal of biomedical informatics 45 (3), 447-459, 2012 | 48 | 2012 |
