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Wang, H., Han, H., Gan, JQ. and Wang, H., (2024). . IEEE Journal of Biomedical and Health Informatics. 29 (2), 909-922

Savran Kızıltepe, R., Gan, JQ. and Escobar, JJ., (2023). . Neural Computing and Applications. 35 (34), 24513-24524

Gu, L., Jiang, J., Han, H., Gan, JQ. and Wang, H., (2023). . Neuroscience Letters. 800, 137133-137133

Wang, H., Jiang, J., Gan, JQ. and Wang, H., (2023). . IEEE Transactions on Biomedical Engineering. 70 (11), 3040-3051

Tan, X., Qi, J., Gan, JQ., Zhang, J., Guo, C., Wan, F. and Wang, K., (2023). . Engineering Applications of Artificial Intelligence. 124, 106498-106498

Zhang, R., Rong, R., Gan, JQ., Xu, Y., Wang, H. and Wang, X., (2023). . Medical and Biological Engineering and Computing. 62 (2), 521-535

Han, H., Li, X., Gan, JQ., Yu, H. and Wang, H., (2022). . Neuroscience. 484, 38-52

Aquino-Brítez, D., Ortiz, A., Ortega, J., León, J., Formoso, M., Gan, JQ. and Escobar, JJ., (2021). . Sensors. 21 (6), 2096-2096

Hung, S-K. and Gan, JQ., (2021). . PeerJ Computer Science. 7, e760-e760

Ju, Z., Liu, J., Huang, YA., Kubota, N. and Gan, JQ., (2020). . Neurocomputing. 390, 196-197

Talukdar, U., Hazarika, SM. and Gan, JQ., (2020). . Biomedical Signal Processing and Control. 58, 101829-101829

Zhang, L., Gan, JQ., Zhu, Y., Wang, J. and Wang, H., (2020). . Human Brain Mapping. 41 (13), 3620-3636

Talukdar, U., Hazarika, SM. and Gan, JQ., (2020). . Journal of Neural Engineering. 17 (1), 016020-016020

León, J., Escobar, JJ., Ortiz, A., Ortega, J., González, J., Martín-Smith, P., Gan, JQ. and Damas, M., (2020). . PLoS One. 15 (6), e0234178-e0234178

Talukdar, U., Hazarika, SM. and Gan, JQ., (2019). Motor imagery and mental fatigue: inter-relationship and EEG based estimation. Journal of Computational Neuroscience. 46 (1), 55-76

González, J., Ortega, J., Damas, M., Martín-Smith, P. and Gan, JQ., (2019). . Neurocomputing. 333, 407-418

Phukan, N., Kakoty, NM., Shivam, P. and Gan, JQ., (2019). Finger movements recognition using minimally redundant features of wavelet denoised EMG. Health and Technology. 9 (4), 579-593

Almulla Khalaf, MI. and Gan, JQ., (2019). . Artificial Intelligence Research. 8 (1), 41-41

Li, X., Gan, JQ. and Wang, H., (2018). . NeuroImage. 166, 259-275

Zhang, L., Gan, JQ., Zheng, W. and Wang, H., (2018). . Brain Topography. 31 (3), 447-467

Wang, L., Gan, JQ., Zhang, L. and Wang, H., (2018). . International Journal of Psychophysiology. 128, 81-92

Talukdar, U., Hazarika, SM. and Gan, JQ., (2018). . Pattern Recognition. 83, 91-106

Zhang, L., Gan, JQ. and Wang, H., (2017). . Applied Neuropsychology: Child. 6 (1), 79-94

Martín-Smith, P., Ortega, J., Asensio-Cubero, J., Gan, JQ. and Ortiz, A., (2017). . Neurocomputing. 250, 45-56

Asensio-Cubero, J., Gan, JQ. and Palaniappan, R., (2016). . Computers in Biology and Medicine. 68, 21-26

Ortega, J., Asensio-Cubero, J., Gan, JQ. and Ortiz, A., (2016). . BioMedical Engineering OnLine. 15 (S1), 73-

Kakoty, NM., Hazarika, SM. and Gan, JQ., (2016). EMG Feature Set Selection Through Linear Relationship for Grasp Recognition. Journal of Medical and Biological Engineering. 36 (6), 883-890

Zhang, L., Gan, JQ. and Wang, H., (2015). . Neuroscience. 289, 334-348

Zhang, L., Gan, JQ. and Wang, H., (2015). . Cognitive Neurodynamics. 9 (5), 495-508

Tan, X-M., Chen, M-Y. and Gan, JQ., (2015). . Intelligent Data Analysis. 19 (2), 279-292

Plansangket, S. and Gan, JQ., (2015). . Artificial Intelligence Research. 4 (2)

Gan, JQ., Awwad Shiekh Hasan, B. and Tsui, CSL., (2014). . International Journal of Machine Learning and Cybernetics. 5 (3), 413-423

Tan, X., (2014). . Journal of Fiber Bioengineering and Informatics. 7 (4), 627-636

Nia, HFG., Hu, O. and Gan, JQ., (2014). . International Journal of Modelling, Identification and Control. 21 (1), 8-8

Zhang, L., Gan, JQ. and Wang, H., (2014). . Frontiers in Human Neuroscience. 8 (430), 430-

Asensio-Cubero, J., Gan, JQ. and Palaniappan, R., (2013). . Journal of Neural Engineering. 10 (4), 046014-046014

Asensio-Cubero, J., Gan, JQ. and Palaniappan, R., (2013). . Biomedical Signal Processing and Control. 8 (6), 772-778

Oskoei, MA., Hu, H. and Gan, JQ., (2013). . International Journal of Biomechatronics and Biomedical Robotics. 2 (2/3/4), 195-208

Oskoei, MA., Hu, H. and Gan, JQ., (2013). Feature-channel subset selection for optimising myoelectric human-machine interface design. International Journal of Biomechatronics and Biomedical Robotics. 2 (2/3/4), 195-208

Hasan, BAS. and Gan, JQ., (2012). . Computers in Biology and Medicine. 42 (5), 598-606

Amorim, R., Mirkin, B. and Gan, JQ., (2012). . Artificial Intelligence Research. 1 (1), 55-55

Hasan, BAS. and Gan, JQ., (2011). . Journal of Neural Engineering. 8 (2), 025013-025013

Yoon, JW., Roberts, SJ., Dyson, M. and Gan, JQ., (2011). . Neural Networks. 24 (7), 726-734

Hasan, BAS. and Gan, JQ., (2011). . Journal of Neural Engineering. 8 (5), 056015-056015

Tsui, CSL., Gan, JQ. and Hu, H., (2011). . Clinical EEG and Neuroscience. 42 (4), 225-229

Hasan, BAS. and Gan, JQ., (2011). Conditional random fields as classifiers for 3-class motor-imagery brain-computer interfaces. Journal of Neural Engineering. 8 (2), creators-Gan=3AJohn_Q=3A=3A

Hasan, BAS. and Gan, JQ., (2011). Temporal modeling of EEG during self-paced hand movement and its application in onset detection. Journal of Neural Engineering. 8 (5), creators-Gan=3AJohn_Q=3A=3A

Dyson, M., Sepulveda, F. and Gan, JQ., (2010). . Clinical Neurophysiology. 121 (9), 1481-1493

Awwad Shiekh Hasan, B. and Gan, JQ., (2010). . Medical & Biological Engineering & Computing. 48 (3), 245-253

Tao Geng and Gan, JQ., (2010). . IEEE/ASME Transactions on Mechatronics. 15 (2), 253-260

Geng, T., Gan, JQ. and Hu, H., (2010). . International Journal of Advanced Mechatronic Systems. 2 (1-2), 28-35

Geng, T., Gan, JQ. and Hu, H., (2010). . International Journal of Advanced Mechatronic Systems. 2 (1-2), 28-35

Tsui, CSL., Gan, JQ. and Roberts, SJ., (2009). . Medical & Biological Engineering & Computing. 47 (3), 257-265

Oskoei, MA., Gan, JQ. and Huosheng Hu, (2009). . 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2009, 2600-2603

Shang-Ming Zhou and Gan, JQ., (2009). . IEEE Transactions on Knowledge and Data Engineering. 21 (8), 1191-1204

Yoon, JW., Roberts, SJ., Dyson, M. and Gan, JQ., (2009). . Neural Networks. 22 (9), 1286-1294

Geng, T., Gan, JQ., Dyson, M., Tsui, CSL. and Sepulveda, F., (2008). . Computational Intelligence and Neuroscience. 2008, 1-5

Zhou, S-M. and Gan, JQ., (2008). . Fuzzy Sets and Systems. 159 (23), 3091-3131

Zhou, S-M., Gan, JQ. and Sepulveda, F., (2008). . Information Sciences. 178 (6), 1629-1640

Gan, JQ. and Rosales, EM., (2008). Producing interpretable local models in parametric CMAC by regularization. International Journal of Knowledge-based and Intelligent Engineering Systems. 11 (6), 399-408

Zhou, S., Gan, JQ. and Sepulveda, F., (2008). Classifying mental tasks based on features of higher-order statistics from EEG signals in brain-computer interface. Information Sciences. 178 (6), 1639-1640

Geng, T., Gan, JQ., Dyson, M., Tui, SSL. and Sepulveda, F., (2008). A novel design of 4-class BCI using two binary classifiers and parallel mental tasks. Computational Intelligence and Neuroscience. 2008, creators-Sepulveda=3AFrancisco=3A=3A

Geng, T., Dyson, M., Tsui, CSL. and Gan, JQ., (2007). A 3-class Asynchronous BCI Controlling A Simulated Mobile Robot. 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2007, 2524-2527

Sepulveda, F., Dyson, M., Gan, JQ. and Tsui, CSL., (2007). A Comparison of Mental Task Combinations for Asynchronous EEG-Based BCIs. 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2007, 5055-5058

Zhou, S-M. and Gan, JQ., (2007). Constructing L2-SVM-Based Fuzzy Classifiers in High-Dimensional Space With Automatic Model Selection and Fuzzy Rule Ranking. IEEE Transactions on Fuzzy Systems. 15 (3), 398-409

Zhou, S-M., Gan, JQ., Xu, L-D. and John, R., (2007). Interactive image enhancement by fuzzy relaxation. International Journal of Automation and Computing. 4 (3), 229-235

Zhou, S-M. and Gan, JQ., (2006). Constructing accurate and parsimonious fuzzy models with distinguishable fuzzy sets based on an entropy measure. Fuzzy Sets and Systems. 157 (8), 1057-1074

Zhou, S-M. and Gan, J., (2006). Multiple Objective Learning for Constructing Interpretable Takagi-Sugeno Fuzzy Model. Studies in Computational Intelligence. 16, 385-403

Zhou, S-M. and Gan, JQ., (2006). A new fuzzy relaxation algorithm for image enhancement. International Journal of Knowledge-based and Intelligent Engineering Systems. 10 (3), 181-192

Gan, JQ., Oyama, E., Rosales, EM. and Hu, H., (2005). A complete analytical solution to the inverse kinematics of the Pioneer 2 robotic arm. Robotica. 23 (1), 123-129

Harris, CJ. and Gan, Q., (2001). State estimation and multi-sensor data fusion using data-based neurofuzzy local linearisation process models. Information Fusion. 2 (1), 17-29

Qiang Gan and Harris, CJ., (2001). A hybrid learning scheme combining EM and MASMOD algorithms for fuzzy local linearization modeling. IEEE Transactions on Neural Networks. 12 (1), 43-53

Qiang Gan and Harris, CJ., (1999). Linearization and state estimation of unknown discrete-time nonlinear dynamic systems using recurrent neurofuzzy networks. IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics). 29 (6), 802-817

Qiang Gan and Harris, CJ., (1999). Fuzzy local linearization and local basis function expansion in nonlinear system modeling. IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics). 29 (4), 559-565

Gan, Q., Saratchandran, P., Sundararajan, N. and Subramanian, KR., (1999). A complex valued radial basis function network for equalization of fast time varying channels. IEEE Transactions on Neural Networks. 10 (4), 958-960

Harris, C., (1999). Neurofuzzy State Estimators and Their Applications. Annual Reviews in Control. 23 (1), 149-158

Zhou, J., Gan, Q., Krzyżak, A. and Suen, CY., (1999). Recognition of handwritten numerals by Quantum Neural Network with fuzzy features. International Journal on Document Analysis and Recognition. 2 (1), 30-36

Wang, J-S., Gan, Q., Wei, Y. and Xie, L., (1999). Cellular neural networks with opposite-sign templates for image thinning. International Journal of Circuit Theory and Applications. 27 (2), 229-240

Peng, Sha, Gan and Wei, (1998). Energy function for learning invariance in multilayerperceptron. Electronics Letters. 34 (3), 292-294

Peng, H., Gan, Q. and Wei, Y., (1998). Several realistic approaches to improve the generalization of feedforward neural networks. Tien Tzu Hsueh Pao/Acta Electronica Sinica. 26 (4), 116-119

Peng, Sha, Gan and Wei, (1998). Combining adaptive sigmoid packet and trace neuralnetworkfor fast invariance-learning. Electronics Letters. 34 (9), 898-900

Yu Wei, Zuhong Lu, Chunwei Yuan and Qiang Gan, (1997). Molecular electronics: strategies and progress in China. IEEE Engineering in Medicine and Biology Magazine. 16 (4), 53-61

Wang, J. and Gan, Q., (1997). Thinning-like property of CNN with opposite-sign templates and its applications. Tien Tzu Hsueh Pao/Acta Electronica Sinica. 25 (4), 39-43

Wang, J., Gan, Q. and Wei, Y., (1997). Fractal cellular neural networks for associative memory. Tien Tzu Hsueh Pao/Acta Electronica Sinica. 25 (2), 107-109

Gan, Q., Subramanian, R., Sundararajan, N. and Saratchandran, P., (1996). Design for centres of RBF neural networks for fasttime-varying channel equalisation. Electronics Letters. 32 (25), 2333-2334

Wang, J., Gan, Q. and Wei, Y., (1996). Cellular neural networks with multi-step output function. Tien Tzu Hsueh Pao/Acta Electronica Sinica. 24 (5), 103-106

Junsheng Wang, Qiang Gan and Yu Wei, (1995). Stability of CNN with opposite-sign templates and nonunity gain output functions. IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications. 42 (7), 404-408

Gan, Q. and Wei, Y., (1992). Neuron model with potential applications in pulse-stream neural nets. Electronics Letters. 28 (8), 755-756

Gan, Q., Sha, F. and Wei, Y., (1992). A mathematical neuron model with dynamically adjustable threshold and refractory period. Network: Computation in Neural Systems. 3 (4), 415-422

Islam, MS., Wishart, G., Walls, J., Hall, P., Garcia, A., Gan, J. and Raza, H., (2024).

Ali, M., Raza, H. and Gan, JQ., (2024). Fortifying Deep Neural Networks for Industrial Applications: Feature Map Fusion for Adversarial Defense

Ali, M., Raza, H., Gan, JQ. and Haris, M., (2024). Integrating Spatial Information into Global Context: Summary Vision Transformer (S-ViT)

Izwan Heroza, R., Raza, H. and Gan, J., (2023).

Hung, S-K. and Gan, JQ., (2022). Boosting Facial Emotion Recognition by Using GANs to Augment Small Facial Expression Dataset

Hung, S-K. and Gan, JQ., (2021). Augmentation of Small Training Data Using GANs for Enhancing the Performance of Image Classification

Hung, S-K. and Gan, JQ., (2021). Facial Image Augmentation from Sparse Line Features Using Small Training Data

Sun, Y., Pu, D., Gu, D., Gan, JQ. and Yang, K., (2020). A Rough Set Classifier Based on Discretization and Attribute Selection

Kızıltepe, RS. and Gan, JQ., (2020). Simple Effective Methods for Decision-Level Fusion in Two-Stream Convolutional Neural Networks for Video Classification

Basbrain, A. and Gan, JQ., (2020). One-Shot Only Real-Time Video Classification: A Case Study in Facial Emotion Recognition

Jacutprakart, J., Savran Kiziltepe, R., Gan, J., Papanastasiou, G. and Garcia Seco De Herrera, A., (2020).

Savran Kızıltepe, R., Gan, JQ. and Escobar, JJ., (2019). Combining Very Deep Convolutional Neural Networks and Recurrent Neural Networks for Video Classification

Escobar, JJ., Ortega, J., Damas, M., Kızıltepe, RS. and Gan, JQ., (2019). Energy-Time Analysis of Convolutional Neural Networks Distributed on Heterogeneous Clusters for EEG Classification

Khalaf, MIAA. and Gan, JQ., (2018). Deep Classifier Structures with Autoencoder for Higher-level Feature Extraction

Wang, L. and Gan, JQ., (2018). Prediction of the 2017 French Election Based on Twitter Data Analysis Using Term Weighting

Basbrain, AM., Gan, JQ., Sugimoto, A. and Clark, A., (2018). A Neural Network Approach to Score Fusion for Emotion Recognition

Ortega, J., Ortiz, A., Martín-Smith, P., Gan, JQ. and González-Peñalver, J., (2017). Deep Belief Networks and Multiobjective Feature Selection for BCI with Multiresolution Analysis

Ortega, J., Kimovski, D., Gan, JQ., Ortiz, A. and Damas, M., (2017). A Parallel Island Approach to Multiobjective Feature Selection for Brain-Computer Interfaces

Basbrain, AM., Gan, JQ. and Clark, A., (2017).

Wu, Y., Gan, JQ. and Wang, H., (2017). Identifying Intrinsic Phase Lag in EEG Signals from the Perspective of Wilcoxon Signed-Rank Test

Basbrain, AM., Al-Taie, I., Azeez, N., Gan, JQ. and Clark, A., (2017). Shallow convolutional neural network for eyeglasses detection in facial images

Wang, L. and Gan, JQ., (2017). Prediction of the 2017 French election based on Twitter data analysis

Saikia, A., Khan, MA., Pusph, S., Tauhidi, SI., Bhattacharyya, R., Hazarika, SM. and Gan, JQ., (2016).

Abdulhussain, MI. and Gan, JQ., (2016). Class-specific pre-trained sparse autoencoders for learning effective features for document classification

Abdulhussain, MI. and Gan, JQ., (2015).

Mouli, S., Palaniappan, R., Sillitoe, IP. and Gan, JQ., (2015).

Martín-Smith, P., Ortega, J., Asensio-Cubero, J., Gan, JQ. and Ortiz, A., (2015).

Plansangket, S. and Gan, JQ., (2015).

Ortega, J., Asensio-Cubero, J., Gan, JQ. and Ortiz, A., (2015).

Wang, L., Gan, JQ. and Wang, H., (2014).

Asensio-Cubero, J., Gan, JQ. and Palaniappan, R., (2014).

Plansangket, S. and Q. Gan, J., (2014).

(2014).

Mouli, S., Palaniappan, R., Sillitoe, IP. and Gan, JQ., (2013).

Zhang, L., Wang, H. and Gan, JQ., (2013).

Asensio-Cubero, J., Gan, JQ. and Palaniappan, R., (2012).

Al Moubayed, N., Hasan, BAS., Gan, JQ., Petrovski, A. and McCall, J., (2012).

Gan, JQ., Awwad Shiekh Hasan, B. and Tsui, CSL., (2011).

Asensio-Cubero, J., Galvan, E., Panlaniappan, R. and Gan, JQ., (2011).

Asensio-Cubero, J., Palaniappan, R. and Gan, JQ., (2011).

Hasan, BAS., Gan, JQ. and Zhang, Q., (2010).

Al Moubayed, N., Shiekh Hasan, BA., Gan, JQ., Petrovski, A. and McCall, J., (2010).

Awwad Shiekh Hasan, B. and Gan, JQ., (2009).

Dyson, M., Sepulveda, F., Gan, JQ. and Roberts, SJ., (2009). Sequential Classification of Mental Tasks vs. Idle State for EEG Based BCIs

Hasan, BAS. and Gan, JQ., (2009). Unsupervised Adaptive GMM for BCI

Zhou, S-M., Gan, JQ., Xu, L. and John, RI., (2009).

Dyson, M., Sepulveda, F., Gan, JQ. and Roberts, SJ., (2009).

Hasan, BAS. and Gan, JQ., (2009).

Hasan, BAS. and Gan, JQ., (2009).

Amorim, R., Mirkin, B. and Gan, JQ., (2009).

Dyson, M., Sepulveda, F. and Gan, JQ., (2008).

Asghari Oskoei, M., Hu, H. and Gan, JQ., (2008).

Tao Geng and Gan, JQ., (2008).

Yoon, JW., Roberts, SJ., Dyson, M. and Gan, JQ., (2008).

Ji Won Yoon, Roberts, SJ., Dyson, M. and Gan, JQ., (2008).

Hasan, BAS., Dyson, M., Balli, T. and Gan, JQ., (2008).

Geng, T. and Gan, JQ., (2008).

Dyson, M., Balli, T., Gan, JQ., Sepulveda, F. and Palaniappan, R., (2008).

Tsui, CSL. and Gan, JQ., (2008).

Tsui, CSL. and Gan, JQ., (2007). Asynchronous BCI Control of a Robot Simulator with Supervised Online Training

Chun Sing Louis Tsui, Jia, P., Gan, JQ., Hu, H. and Yuan, K., (2007). EMG-based hands-free wheelchair control with EOG attention shift detection

Gan, JQ. and Zhou, S-M., (2006). A New Fuzzy Membership Function with Applications in Interpretability Improvement of Neurofuzzy Models

Wang, B. and Gan, JQ., (2006). SC-Tree: An Efficient Structure for High-Dimensional Data Indexing

Wang, B. and Gan, JQ., (2005). An Incremental Updating Method for Clustering-Based High-Dimensional Data Indexing

Gan, JQ., (2005). On optimal criteria of linear projections for classification

Zhou, SM. and Gan, JQ., (2005). L2-SVM based fuzzy classifier with automatic model selection and fuzzy rule ranking

Oyama, E., Maeda, T., Gan, JQ., Rosales, EM., MacDorman, KF., Tachi, S. and Agah, A., (2005). Inverse kinematics learning for robotic arms with fewer degrees of freedom by modular neural network systems

Shang-Ming Zhou and Gan, JQ., (2004). Interpretability improvement of input space partitioning by merging fuzzy sets based on an entropy measure

Shang-Ming Zhou and Gan, JQ., (2004). Improving the interpretability of Takagi-Sugeno fuzzy model by using linguistic modifiers and a multiple objective learning scheme

Wang, B. and Gan, JQ., (2004). Integration of Projected Clusters and Principal Axis Trees for High-Dimensional Data Indexing and Query

Zhou, S. and Gan, JQ., (2004). Mercer Kernel, Fuzzy C-Means Algorithm, and Prototypes of Clusters

Shang-Ming Zhou and Qiang Gan, (2003). A new fuzzy relaxation algorithm for image contrast enhancement

Wang, B. and Gan, Q., (2003). Non-uniform partition strategies for indexing high-dimensional data with different distributions

Gan, Q., (2002). Exploring recurrent learning for neurofuzzy networks using regularization theory

Harris, CJ., Wu, ZQ. and Gan, Q., (1999). Neurofuzzy state estimators and their applications

Peng, H., Gan, Q., Sha, L. and Wei, Y., (1998). Using sparse trace neural network to extract temporal-spatial invariance

Gan, Q., Yao, J. and Subramanian, KR., (1998). Learning algorithms for a neural network with laterally inhibited receptive fields

Zhou, J., Gan, Q. and Suen, CY., (1997). High-performance hand-printed numerical recognition system with verification module

Wang, JS., Gan, Q. and Wei, Y., (1996). On stability of CNN with asymmetric opposite-sign templates and non-unity gain output functions

Gan, Q., Yu, W. and Conrad, M., (1991). Locally-connected multilayer neural networks consisting of enzymatic neurons

Sha, F. and Gan, Q., (1991). Improving error tolerance of self-organizing neural nets

Gan, Q. and Wei, Y., (1990). Unfully interconnected neural networks as associative memory