| Clustering technique-based least square support vector machine for EEG signal classification Siuly, Y Li, P Wen Computer methods and programs in biomedicine 104 (3), 358-372, 2011 | 239 | 2011 |
| Epileptic seizure detection in EEG signals using tunable-Q factor wavelet transform and bootstrap aggregating AR Hassan, Siuly, Y Zhang Computer Methods and Programs in Biomedicine, 2016 | 214 | 2016 |
| Improving the separability of motor imagery EEG signals using a cross correlation-based least square support vector machine for brain–computer interface S Siuly, Y Li IEEE Transactions on Neural Systems and Rehabilitation Engineering 20 (4 …, 2012 | 194 | 2012 |
| EEG Signal Analysis and Classification: Techniques and Applications S Siuly, Y Li, Y Zhang Health Information Science, Springer, 2016 | 189* | 2016 |
| Weighted Visibility Graph with Complex Network Features in the Detection of Epilepsy Supriya, S Siuly, H Wang, Y Zhang IEEE Access, 2016 | 161 | 2016 |
| Medical Big Data: Neurological Diseases Diagnosis Through Medical Data Analysis S Siuly, Y Zhang DATA SCIENCE AND ENGINEERING 11, 2016 | 149 | 2016 |
| Detection of motor imagery EEG signals employing Naïve Bayes based learning process S Siuly, H Wang, Y Zhang Measurement, 2016 | 114 | 2016 |
| Designing a robust feature extraction method based on optimum allocation and principal component analysis for epileptic EEG signal classification S Siuly, Y Li Computer Methods and Programs in Biomedicine, 2015 | 114 | 2015 |
| A Computerized Method for Automatic Detection of Schizophrenia Using EEG Signals S Siuly, SK Khare, V Bajaj, H Wang, Y Zhang IEEE Transactions on Neural systems & Rehabilitation Engineering, 2020 | 102 | 2020 |
| Epileptic seizure detection from EEG signals using logistic model trees E Kabir, Siuly, Y Zhang Brain Informatics 3 (2), 93-100, 2016 | 100 | 2016 |
| Modified CC-LR algorithm with three diverse feature sets for motor imagery tasks classification in EEG based brain–computer interface Siuly, Y Li, P Wen Computer methods and programs in biomedicine 113 (3), 767-780, 2014 | 89 | 2014 |
| Features based on analytic IMF for classifying motor imagery EEG signals in BCI applications S Taran, V Bajaj, D Sharmaa, S Siuly, A Sengur Measurement, 2017 | 78 | 2017 |
| A feature extraction technique based on tunable Q-factor wavelet transform for brain signal classification HR Al Ghayab, Y Li, S Siuly, S Abdulla Journal of neuroscience methods 312, 43-52, 2019 | 77 | 2019 |
| Exploring Sampling in the Detection of Multi-Category EEG Signals S Siuly, E Kabir, H Wang, Y Zhang Computational and Mathematical Methods in Medicine, 2015 | 77 | 2015 |
| EEG signal classification based on simple random sampling technique with least square support vector machines' Siuly, Y Li, P Wen International journal of Biomedical Engineering and Technology 7 (4), 390-409, 2011 | 70 | 2011 |
| EEG signal classification based on simple random sampling technique with least square support vector machines Siuly, Y Li, P Weng International journal of Biomedical Engineering and Technology 7 (4), 390-409, 2011 | 70 | 2011 |
| A new framework for automatic detection of patients with mild cognitive impairment using resting-state EEG signals S Siuly, ÖF Alçin, E Kabir, A Şengür, H Wang, Y Zhang, F Whittaker IEEE Transactions on Neural Systems and Rehabilitation Engineering 28 (9 …, 2020 | 65 | 2020 |
| Multi-category EEG signal classification developing time-frequency texture features based Fisher Vector encoding method ÖF Alçіn, S Siuly, V Bajaj, Y Guo, A Şengu, Y Zhang Neurocomputing 218, 251-258, 2016 | 65 | 2016 |
| Automated Epilepsy Detection Techniques from EEG Signals: A Review Study S Supriya, S Siuly, H Wang, Y Zhang Health Information Science and System, 2020 | 61 | 2020 |
| A novel statistical algorithm for multiclass EEG signal classification Siuly, Y Li Engineering Applications of Artificial Intelligence 34, 154-167, 2014 | 60 | 2014 |
Yanchun ZhangGuangzhou University， Pengcheng Laboratory，Victoria UniversityVerified email at vu.edu.au
