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John Q. Gan · SciRah

Researcher profile · Semantic Scholar

John Q. Gan

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John Q. Gan — researcher profile on SciRah

h-index: 31
Works: 139
Citations: 3,106

Most-cited papers

A new multi-objective wrapper method for feature selection - Accuracy and stability analysis for BCI
Jesús González, J. Ortega, M. Damas, P. Martín-Smith +1 more
2019Neurocomputing113 citations Open access
Semantic Scholar
A novel keyframe extraction method for video classification using deep neural networks
Rukiye Savran Kızıltepe, John Q. Gan, Juan José Escobar
2021Neural computing & applications (Print)81 citations Open access
Semantic Scholar
Motor imagery and mental fatigue: inter-relationship and EEG based estimation
Upasana Talukdar, S. Hazarika, John Q. Gan
2018Journal of Computational Neuroscience70 citations
Semantic Scholar
A Self-Paced Motor Imagery Based Brain-Computer Interface for Robotic Wheelchair Control
C. Tsui, John Q. Gan, Huo-Sheng Hu
2011Clinical EEG and Neuroscience69 citations
Semantic Scholar
Deep learning for EEG-based Motor Imagery classification: Accuracy-cost trade-off
Javier León, Juan José Escobar, A. Ortiz, J. Ortega +4 more
2020PLoS ONE58 citations Open access
Semantic Scholar
Hangman BCI: An unsupervised adaptive self-paced Brain-Computer Interface for playing games
Bashar Awwad Shiekh Hasan, John Q. Gan
2012Comput. Biol. Medicine55 citations Open access
Semantic Scholar
Prediction of the 2017 French election based on Twitter data analysis
Lei Wang, John Q. Gan
2017Computer Science and Electronic Engineering Conference52 citations
Semantic Scholar
A Kernel Partial least square based feature selection method
Upasana Talukdar, S. Hazarika, John Q. Gan
2018Pattern Recognition43 citations Open access
Semantic Scholar
A filter-dominating hybrid sequential forward floating search method for feature subset selection in high-dimensional space
John Q. Gan, Bashar Awwad Shiekh Hasan, C. Tsui
2012International Journal of Machine Learning and Cybernetics42 citations
Semantic Scholar
Multiresolution analysis over graphs for a motor imagery based online BCI game
J. Asensio-Cubero, John Q. Gan, R. Palaniappan
2016Comput. Biol. Medicine39 citations Open access
Semantic Scholar
Extracting Takagi-Sugeno Fuzzy Rules with Interpretable Submodels via Regularization of Linguistic Modifiers
Shang-Ming Zhou, John Q. Gan
2009IEEE Transactions on Knowledge and Data Engineering39 citations Open access
Semantic Scholar
A supervised filter method for multi-objective feature selection in EEG classification based on multi-resolution analysis for BCI
P. Martín-Smith, J. Ortega, J. Asensio-Cubero, John Q. Gan +1 more
2017Neurocomputing35 citations
Semantic Scholar
Classification of motor imagery tasks for BCI with multiresolution analysis and multiobjective feature selection
J. Ortega, J. Asensio-Cubero, John Q. Gan, A. Ortiz
2016BioMedical Engineering OnLine35 citations Open access
Semantic Scholar
Unsupervised movement onset detection from EEG recorded during self-paced real hand movement
Bashar Awwad Shiekh Hasan, John Q. Gan
2010Medical and Biological Engineering and Computing34 citations
Semantic Scholar
Multi-objective evolutionary methods for channel selection in Brain-Computer Interfaces: Some preliminary experimental results
Bashar Awwad Shiekh Hasan, John Q. Gan, Qing-Fu Zhang
2010IEEE Congress on Evolutionary Computation34 citations
Semantic Scholar
Extracting optimal tempo-spatial features using local discriminant bases and common spatial patterns for brain computer interfacing
J. Asensio-Cubero, John Q. Gan, R. Palaniappan
2013Biomedical Signal Processing and Control33 citations Open access
Semantic Scholar
Sequential EM for Unsupervised Adaptive Gaussian Mixture Model Based Classifier
Bashar Awwad Shiekh Hasan, John Q. Gan
2009IAPR International Conference on Machine Learning and Data Mining in Pattern Recognition33 citations
Semantic Scholar
Adaptive classification for Brain Computer Interface systems using Sequential Monte Carlo sampling
J. W. Yoon, S. Roberts, Matthew Dyson, John Q. Gan
2009Neural Networks31 citations
Semantic Scholar
Adaptive feature extraction in EEG-based motor imagery BCI: tracking mental fatigue
Upasana Talukdar, S. Hazarika, John Q. Gan
2020Journal of Neural Engineering30 citations Open access
Semantic Scholar
EMG Feature Set Selection Through Linear Relationship for Grasp Recognition
N. M. Kakoty, S. Hazarika, John Q. Gan
201630 citations
Semantic Scholar
Adaptive schemes applied to online SVM for BCI data classification
M. A. Oskoei, John Q. Gan, Huo-Sheng Hu
2009Annual International Conference of the IEEE Engineering in Medicine and Biology Society30 citations
Semantic Scholar
Adaptation of Common Spatial Patterns based on mental fatigue for motor-imagery BCI
Upasana Talukdar, S. Hazarika, John Q. Gan
2020Biomedical Signal Processing and Control29 citations
Semantic Scholar
Optimization of Deep Architectures for EEG Signal Classification: An AutoML Approach Using Evolutionary Algorithms
Diego Aquino-Brítez, A. Ortiz, J. Ortega, Javier León +3 more
2021Italian National Conference on Sensors28 citations Open access
Semantic Scholar
Performance analysis of multi-frequency SSVEP-BCI using clear and frosted colour LED stimuli
Surej Mouli, R. Palaniappan, I. Sillitoe, John Q. Gan
2013International Conferences on Biological Information and Biomedical Engineering28 citations
Semantic Scholar
Collective sparse symmetric non‐negative matrix factorization for identifying overlapping communities in resting‐state brain functional networks
Xuan Li, John Q. Gan, Hai-Xian Wang
2018NeuroImage27 citations Open access
Semantic Scholar
Localization of neural efficiency of the mathematically gifted brain through a feature subset selection method
Li Zhang, John Q. Gan, Hai-Xian Wang
2015Cognitive Neurodynamics26 citations Open access
Semantic Scholar
Neurocognitive mechanisms of mathematical giftedness: A literature review
Li Zhang, John Q. Gan, Hai-Xian Wang
2017Applied neuropsychology. Child24 citations
Semantic Scholar
A self-paced online BCI for mobile robot control
T. Geng, John Q. Gan, Huo-Sheng Hu
201024 citations Open access
Semantic Scholar
A query suggestion method combining TF-IDF and Jaccard Coefficient for interactive web search
Suthira Plansangket, John Q. Gan
2015Artificial intelligence research23 citations Open access
Semantic Scholar
Unsupervised adaptive GMM for BCI
Bashar Awwad Shiekh Hasan, John Q. Gan
2009International IEEE/EMBS Conference on Neural Engineering23 citations
Semantic Scholar
Finger movements recognition using minimally redundant features of wavelet denoised EMG
Nabasmita Phukan, N. M. Kakoty, Prastuti Shivam, John Q. Gan
2019Health technology22 citations
Semantic Scholar
Temporal modeling of EEG during self-paced hand movement and its application in onset detection
Bashar Awwad Shiekh Hasan, John Q. Gan
2011Journal of Neural Engineering20 citations
Semantic Scholar
Binary-SDMOPSO and its application in channel selection for Brain-Computer Interfaces
N. Al Moubayed, Bashar Awwad Shiekh Hasan, John Q. Gan, Andrei V. Petrovski +1 more
2010UK Workshop on Computational Intelligence19 citations
Semantic Scholar
Multi-objective particle swarm optimization for channel selection in brain-computer interfaces
Bashar Awwad Shiekh Hasan, John Q. Gan
200919 citations
Semantic Scholar
Sequential classification of mental tasks vs. idle state for EEG based BCIs
Matthew Dyson, F. Sepulveda, John Q. Gan, S. Roberts
2009International IEEE/EMBS Conference on Neural Engineering19 citations
Semantic Scholar
Spatiotemporal Phase Synchronization in Adaptive Reconfiguration from Action Observation Network to Mentalizing Network for Understanding Other’s Action Intention
Li Zhang, John Q. Gan, Wen-Ming Zheng, Hai-Xian Wang
2017Brain Topography17 citations Open access
Semantic Scholar
Motor Imagery EEG Classification Based on a Weighted Multi-Branch Structure Suitable for Multisubject Data
Hui-Yang Wang, Jiu-Chuan Jiang, John Q. Gan, Hai-Xian Wang
2023IEEE Transactions on Biomedical Engineering16 citations Open access
Semantic Scholar
Conditional random fields as classifiers for three-class motor-imagery brain–computer interfaces
Bashar Awwad Shiekh Hasan, John Q. Gan
2011Journal of Neural Engineering16 citations
Semantic Scholar
Recognition of unilateral lower limb movement based on EEG signals with ERP-PCA analysis.
Lingyun Gu, Jiu-Chuan Jiang, Hongfang Han, John Q. Gan +1 more
2023Neuroscience Letters15 citations Open access
Semantic Scholar
Optimized Gamma Synchronization Enhances Functional Binding of Fronto-Parietal Cortices in Mathematically Gifted Adolescents during Deductive Reasoning
Li Zhang, John Q. Gan, Hai-Xian Wang
2014Frontiers in Human Neuroscience15 citations Open access
Semantic Scholar
Multi-filter semi-supervised transformer model for fault diagnosis
Xue-Min Tan, Junqin Qi, John Q. Gan, Jianglin Zhang +3 more
2023Engineering applications of artificial intelligence14 citations Open access
Semantic Scholar
Mathematically gifted adolescents mobilize enhanced workspace configuration of theta cortical network during deductive reasoning.
Li Zhang, John Q. Gan, Hai-Xian Wang
2015Neuroscience14 citations
Semantic Scholar
Biomarkers derived from alterations in overlapping community structure of resting-state brain functional networks for detecting Alzheimer's disease.
Hongfang Han, Xuan Li, John Q. Gan, Hua Yu +1 more
2021Neuroscience12 citations Open access
Semantic Scholar
Accuracy Enhancement of the Viola-Jones Algorithm for Thermal Face Detection
Arwa M. Basbrain, John Q. Gan, A. Clark
2017International Conference on Intelligent Computing12 citations
Semantic Scholar
Bayesian inference for an adaptive Ordered Probit model: An application to Brain Computer Interfacing
J. W. Yoon, S. Roberts, Matthew Dyson, John Q. Gan
2011Neural Networks12 citations
Semantic Scholar
Augmentation of Small Training Data Using GANs for Enhancing the Performance of Image Classification
Shih-Kai Hung, John Q. Gan
2021International Conference on Pattern Recognition11 citations
Semantic Scholar
EEG source‐space synchrostate transitions and Markov modeling in the math‐gifted brain during a long‐chain reasoning task
Li Zhang, John Q. Gan, Yanmei Zhu, Jing Wang +1 more
2020Human Brain Mapping10 citations Open access
Semantic Scholar
Differential recruitment of brain networks in single-digit addition and multiplication: Evidence from EEG oscillations in theta and lower alpha bands.
Lihan Wang, John Q. Gan, Li Zhang, Hai-Xian Wang
2018International Journal of Psychophysiology10 citations Open access
Semantic Scholar
A new term weighting scheme based on class specific document frequency for document representation and classification
Suthira Plansangket, John Q. Gan
2015Computer Science and Electronic Engineering Conference10 citations
Semantic Scholar
A study on temporal segmentation strategies for extracting common spatial patterns for brain computer interfacing
J. Asensio-Cubero, R. Palaniappan, John Q. Gan
20119 citations
Semantic Scholar

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