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, 2001 | 739 | 2001 |
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 |
Adaptive modelling, estimation and fusion from data: a neurofuzzy approach C Harris, X Hong, Q Gan Springer Science & Business Media, 2012 | 268 | 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 | 174 | 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 | 136 | 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 | 118 | 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 | 109 | 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, 257-265, 2009 | 105 | 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 | 95 | 2013 |
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 | 83 | 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, 30-36, 1999 | 80 | 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 | 78 | 2007 |
Deep learning for EEG-based Motor Imagery classification: Accuracy-cost trade-off J León, JJ Escobar, A Ortiz, J Ortega, J González, P Martín-Smith, JQ Gan, ... Plos one 15 (6), e0234178, 2020 | 70 | 2020 |
Motor imagery and mental fatigue: inter-relationship and EEG based estimation U Talukdar, SM Hazarika, JQ Gan Journal of computational neuroscience 46, 55-76, 2019 | 67 | 2019 |
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 | 67 | 2017 |
Asynchronous BCI control of a robot simulator with supervised online training CSL Tsui, JQ Gan Intelligent Data Engineering and Automated Learning-IDEAL 2007: 8th …, 2007 | 60 | 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 | 59 | 2012 |
Manifestation of fatigue in myoelectric signals of dynamic contractions produced during playing PC games MA Oskoei, H Hu, JQ Gan 2008 30th Annual International Conference of the IEEE Engineering in …, 2008 | 59 | 2008 |