| Comparison of two measurement fusion methods for Kalman-filter-based multisensor data fusion Q Gan, CJ Harris IEEE Transactions on Aerospace and Electronic systems 37 (1), 273-279, 2002 | 753 | 2002 |
| 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 | 342 | 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 | 294 | 2008 |
| Adaptive modelling, estimation and fusion from data: a neurofuzzy approach C Harris, X Hong, Q Gan Springer Science & Business Media, 2012 | 269 | 2012 |
| EMG-based hands-free wheelchair control with EOG attention shift detection CSL Tsui, P Jia, JQ Gan, H Hu, K Yuan 2007 IEEE International Conference on Robotics and Biomimetics (ROBIO), 1266 …, 2007 | 176 | 2007 |
| A new multi-objective wrapper method for feature selection–accuracy and stability analysis for BCI J González, J Ortega, M Damas, P Martín-Smith, JQ Gan Neurocomputing 333, 407-418, 2019 | 158 | 2019 |
| A complete analytical solution to the inverse kinematics of the Pioneer 2 robotic arm JQ Gan, E Oyama, EM Rosales, H Hu Robotica 23 (1), 123-129, 2005 | 124 | 2005 |
| An analysis of the inverse kinematics for a 5-DOF manipulator D Xu, CA Acosta Calderon, JQ Gan, H Hu, M Tan International Journal of Automation and Computing 2 (2), 114-124, 2005 | 111 | 2005 |
| A self-paced brain–computer interface for controlling a robot simulator: an online event labelling paradigm and an extended Kalman filter based algorithm for online training CSL Tsui, JQ Gan, SJ Roberts Medical & biological engineering & computing 47 (3), 257-265, 2009 | 107 | 2009 |
| Multiresolution analysis over simple graphs for brain computer interfaces J Asensio-Cubero, JQ Gan, R Palaniappan Journal of neural engineering 10 (4), 046014, 2013 | 100 | 2013 |
| A novel keyframe extraction method for video classification using deep neural networks R Savran Kızıltepe, JQ Gan, JJ Escobar Neural Computing and Applications 35 (34), 24513-24524, 2023 | 90 | 2023 |
| Motor imagery and mental fatigue: inter-relationship and EEG based estimation U Talukdar, SM Hazarika, JQ Gan Journal of computational neuroscience 46 (1), 55-76, 2019 | 88 | 2019 |
| Deep learning for EEG-based Motor Imagery classification: Accuracy-cost trade-off J Leon, JJ Escobar, A Ortiz, J Ortega, J Gonzalez, P Martín-Smith, JQ Gan, ... Plos one 15 (6), e0234178, 2020 | 84 | 2020 |
| A self-paced motor imagery based brain-computer interface for robotic wheelchair control CSL Tsui, JQ Gan, H Hu Clinical EEG and neuroscience 42 (4), 225-229, 2011 | 84 | 2011 |
| Fuzzy local linearization and local basis function expansion in nonlinear system modeling Q Gan, CJ Harris IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 29 …, 1999 | 82 | 1999 |
| Recognition of handwritten numerals by quantum neural network with fuzzy features J Zhou, Q Gan, A Krzyżak, CY Suen International journal on document analysis and recognition 2 (1), 30-36, 1999 | 81 | 1999 |
| 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 | 80 | 2007 |
| Prediction of the 2017 French election based on Twitter data analysis L Wang, JQ Gan 2017 9th Computer Science and Electronic Engineering (CEEC), 89-93, 2017 | 74 | 2017 |
| Asynchronous BCI control of a robot simulator with supervised online training CSL Tsui, JQ Gan International Conference on Intelligent Data Engineering and Automated …, 2007 | 63 | 2007 |
| Hangman BCI: An unsupervised adaptive self-paced brain–computer interface for playing games BAS Hasan, JQ Gan Computers in biology and medicine 42 (5), 598-606, 2012 | 62 | 2012 |
Professor C J HarrisEmeritius Southampton University, Hon Prof Hong Kong UniversityVerified email at ecs.soton.ac.uk
