| Recursive projection twin support vector machine via within-class variance minimization X Chen, J Yang, Q Ye, J Liang Pattern Recognition, 2011 | 155 | 2011 |
| High‐order resting‐state functional connectivity network for MCI classification X Chen, H Zhang, Y Gao, CY Wee, G Li, D Shen, ... Human brain mapping 37 (9), 3282-3296, 2016 | 114 | 2016 |
| Extraction of dynamic functional connectivity from brain grey matter and white matter for MCI classification X Chen, H Zhang, L Zhang, C Shen, SW Lee, D Shen Human brain mapping 38 (10), 5019-5034, 2017 | 95 | 2017 |
| Recursive Robust Least Squares Support Vector Regression based on Correntropy Criterion X Chen, J Yang, J Liang, Q Ye Neurocomputing, 2012 | 65 | 2012 |
| Hybrid high-order functional connectivity networks using resting-state functional MRI for mild cognitive impairment diagnosis Y Zhang, H Zhang, X Chen, SW Lee, D Shen Scientific reports 7 (1), 1-15, 2017 | 53 | 2017 |
| Smooth twin support vector regression X Chen, J Yang, J Liang, Q Ye Neural Computing & Applications, 1-9, 2010 | 50 | 2010 |
| Strength and similarity guided group-level brain functional network construction for MCI diagnosis Y Zhang, H Zhang, X Chen, M Liu, X Zhu, SW Lee, D Shen Pattern recognition 88, 421-430, 2019 | 47 | 2019 |
| Trajectory-based anomalous behaviour detection for intelligent traffic surveillance Y Cai, H Wang, X Chen, H Jiang IET intelligent transport systems 9 (8), 810-816, 2015 | 46 | 2015 |
| Connectivity strength‐weighted sparse group representation‐based brain network construction for M CI classification R Yu, H Zhang, L An, X Chen, Z Wei, D Shen Human brain mapping 38 (5), 2370-2383, 2017 | 42 | 2017 |
| Topographical information-based high-order functional connectivity and its application in abnormality detection for mild cognitive impairment H Zhang, X Chen, F Shi, G Li, M Kim, P Giannakopoulos, S Haller, D Shen Journal of Alzheimer's Disease 54 (3), 1095-1112, 2016 | 42 | 2016 |
| Localized twin SVM via convex minimization Q Ye, C Zhao, N Ye, X Chen Neurocomputing 74 (4), 580-587, 2011 | 39 | 2011 |
| Outcome prediction for patient with high-grade gliomas from brain functional and structural networks L Liu, H Zhang, I Rekik, X Chen, Q Wang, D Shen International Conference on Medical Image Computing and Computer-Assisted …, 2016 | 33 | 2016 |
| Test-retest reliability of “high-order” functional connectivity in young healthy adults H Zhang, X Chen, Y Zhang, D Shen Frontiers in neuroscience 11, 439, 2017 | 30 | 2017 |
| Ensemble learning multiple LSSVR with improved harmony search algorithm for short-term traffic flow forecasting X Chen, X Cai, J Liang, Q Liu Ieee Access 6, 9347-9357, 2018 | 27 | 2018 |
| Ensemble correlation-based low-rank matrix completion with applications to traffic data imputation X Chen, Z Wei, Z Li, J Liang, Y Cai, B Zhang Knowledge-Based Systems 132, 249-262, 2017 | 26 | 2017 |
| An improved linear discriminant analysis with L1-norm for robust feature extraction X Chen, J Yang, Z Jin 2014 22nd International Conference on Pattern Recognition, 1585-1590, 2014 | 26 | 2014 |
| A comparative study of state-of-the-art deep learning algorithms for vehicle detection H Wang, Y Yu, Y Cai, X Chen, L Chen, Q Liu IEEE Intelligent Transportation Systems Magazine 11 (2), 82-95, 2019 | 25 | 2019 |
| Complete large margin linear discriminant analysis using mathematical programming approach X Chen, J Yang, D Zhang, J Liang Pattern recognition 46 (6), 1579-1594, 2013 | 24 | 2013 |
| Recursive “concave–convex” Fisher linear discriminant with applications to face, handwritten digit and terrain recognition QL Ye, CX Zhao, HF Zhang, XB Chen Pattern Recognition 45 (1), 54-65, 2012 | 24 | 2012 |
| Hierarchical high-order functional connectivity networks and selective feature fusion for MCI classification X Chen, H Zhang, SW Lee, D Shen Neuroinformatics 15 (3), 271-284, 2017 | 23 | 2017 |
Dinggang ShenProfessor and Dean, School of BME, ShanghaiTech University; Co-CEO, United Imaging IntelligenceVerified email at shanghaitech.edu.cn
