| EEG Signal Analysis and Classification: Techniques and Applications S Siuly, Y Li, Y Zhang Health Information Science, Springer, 2016 | 302* | 2016 |
| 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 | 273 | 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 | 240 | 2016 |
| Medical Big Data: Neurological Diseases Diagnosis Through Medical Data Analysis S Siuly, Y Zhang DATA SCIENCE AND ENGINEERING 11, 2016 | 230 | 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 | 221 | 2012 |
| Weighted Visibility Graph with Complex Network Features in the Detection of Epilepsy Supriya, S Siuly, H Wang, Y Zhang IEEE Access, 2016 | 205 | 2016 |
| 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 | 199 | 2020 |
| Detection of motor imagery EEG signals employing Naïve Bayes based learning process S Siuly, H Wang, Y Zhang Measurement, 2016 | 142 | 2016 |
| 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 | 133 | 2020 |
| 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 | 130 | 2015 |
| Epileptic seizure detection from EEG signals using logistic model trees E Kabir, Siuly, Y Zhang Brain Informatics 3 (2), 93-100, 2016 | 125 | 2016 |
| Exploring Deep Learning Features For Automatic Classification Of Human Emotion Using EEG Rhythms F Demir, N Sobahi, S Siuly, A Sengur IEEE Sensors Journal, 2021 | 97 | 2021 |
| 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 | 96 | 2014 |
| Automated Epilepsy Detection Techniques from EEG Signals: A Review Study S Supriya, S Siuly, H Wang, Y Zhang Health Information Science and System, 2020 | 95 | 2020 |
| 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 | 95 | 2017 |
| A Spectrogram Image Based Intelligent Technique for Automatic Detection of Autism Spectrum Disorder from EEG MNA Tawhid, S Siuly, H Wang, F Whittaker, K Wang, Y Zhang Plos One, 2021 | 94 | 2021 |
| 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 | 94 | 2019 |
| A Flexible Analytic Wavelet Transform Based Approach for Motor-Imagery Tasks Classification in BCI Applications S Chaudhary, T S., B V., and Siuly S. Computer Methods and Programs in Biomedicine, 2020 | 93 | 2020 |
| Towards the Development of Versatile Brain-Computer Interfaces MT Sadiq, X Yu, Z Yuan, MZ Aziza, S Siuly, W Ding IEEE Transactions on Artificial Intelligence, 2021 | 88 | 2021 |
| Exploiting pretrained CNN models for the development of an EEG-based robust BCI framework MT Sadiq, MZ Aziz, A Almogren, A Yousaf, S Siuly, AU Rehman Computers in Biology and Medicine 143, 105242, 2022 | 85 | 2022 |
Yanchun Zhang， Fellow of RSM， RA...Zhejiang Normal University，Victoria University確認したメール アドレス: vu.edu.au