| 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 | 324 | 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 | 283 | 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 | 177 | 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 | 113 | 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 | 108 | 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 | 101 | 2016 |
| 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 | 96 | 2012 |
| 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 |
| 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 | 81 | 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 | 78 | 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 | 77 | 2008 |
| Introduction: Advances in IoT research and applications P Wang, R Valerdi, S Zhou, L Li Information Systems Frontiers 17, 239-241, 2015 | 75 | 2015 |
| 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 | 72 | 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 | 71 | 2013 |
| 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 comparison of explanations given by explainable artificial intelligence methods on analysing electronic health records J Duell, X Fan, B Burnett, G Aarts, SM Zhou 2021 IEEE EMBS International Conference on Biomedical and Health Informatics …, 2021 | 61 | 2021 |
| 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 | 61 | 2013 |
| Harnessing the power of machine learning in dementia informatics research: Issues, opportunities, and challenges G Tsang, X Xie, SM Zhou IEEE reviews in biomedical engineering 13, 113-129, 2019 | 58 | 2019 |
| 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 | 58 | 2010 |