| A modified FCM algorithm for MRI brain image segmentation using both local and non-local spatial constraints J Wang, J Kong, Y Lu, M Qi, B Zhang Computerized medical imaging and graphics 32 (8), 685-698, 2008 | 284 | 2008 |
| Maximum weight and minimum redundancy: a novel framework for feature subset selection J Wang, L Wu, J Kong, Y Li, B Zhang Pattern Recognition 46 (6), 1616-1627, 2013 | 100 | 2013 |
| Non-negative matrix factorization with locality constrained adaptive graph Y Yi, J Wang, W Zhou, C Zheng, J Kong, S Qiao IEEE Transactions on circuits and systems for video technology 30 (2), 427-441, 2019 | 75 | 2019 |
| Unsupervised feature selection by regularized matrix factorization M Qi, T Wang, F Liu, B Zhang, J Wang, Y Yi Neurocomputing 273, 593-610, 2018 | 56 | 2018 |
| A novel approach for segmentation of MRI brain images J Kong, J Wang, Y Lu, J Zhang, Y Li, B Zhang MELECON 2006-2006 IEEE Mediterranean Electrotechnical Conference, 525-528, 2006 | 56 | 2006 |
| A novel image retrieval method based on hybrid information descriptors M Zhang, K Zhang, Q Feng, J Wang, J Kong, Y Lu Journal of Visual Communication and Image Representation 25 (7), 1574-1587, 2014 | 51 | 2014 |
| An adaptively weighted sub-pattern locality preserving projection for face recognition J Wang, B Zhang, S Wang, M Qi, J Kong Journal of Network and Computer Applications 33 (3), 323-332, 2010 | 49 | 2010 |
| Joint graph optimization and projection learning for dimensionality reduction Y Yi, J Wang, W Zhou, Y Fang, J Kong, Y Lu Pattern Recognition 92, 258-273, 2019 | 46 | 2019 |
| Label propagation based semi-supervised non-negative matrix factorization for feature extraction Y Yi, Y Shi, H Zhang, J Wang, J Kong Neurocomputing 149, 1021-1037, 2015 | 40 | 2015 |
| An improved feature selection based on effective range for classification J Wang, S Zhou, Y Yi, J Kong The Scientific World Journal 2014 (1), 972125, 2014 | 39 | 2014 |
| Adaptive multiple graph regularized semi-supervised extreme learning machine Y Yi, S Qiao, W Zhou, C Zheng, Q Liu, J Wang Soft Computing 22, 3545-3562, 2018 | 32 | 2018 |
| High-efficiency localization of Na+–K+ ATPases on the cytoplasmic side by direct stochastic optical reconstruction microscopy J Wu, J Gao, M Qi, J Wang, M Cai, S Liu, X Hao, J Jiang, H Wang Nanoscale 5 (23), 11582-11586, 2013 | 27 | 2013 |
| Computational prediction of the formation of microporous aluminophosphates with desired structural features J Li, M Qi, J Kong, J Wang, Y Yan, W Huo, J Yu, R Xu, Y Xu Microporous and mesoporous materials 129 (1-2), 251-255, 2010 | 27 | 2010 |
| Locality constrained graph optimization for dimensionality reduction J Wang, R Zhao, Y Wang, C Zheng, J Kong, Y Yi Neurocomputing 245, 55-67, 2017 | 26 | 2017 |
| Depth-wise separable convolution attention module for garbage image classification F Liu, H Xu, M Qi, D Liu, J Wang, J Kong Sustainability 14 (5), 3099, 2022 | 24 | 2022 |
| A structure-preserved local matching approach for face recognition J Wang, Z Ma, B Zhang, M Qi, J Kong Pattern Recognition Letters 32 (3), 494-504, 2011 | 24 | 2011 |
| Semi-supervised local ridge regression for local matching based face recognition Y Yi, C Bi, X Li, J Wang, J Kong Neurocomputing 167, 132-146, 2015 | 20 | 2015 |
| An improved locality sensitive discriminant analysis approach for feature extraction Y Yi, B Zhang, J Kong, J Wang Multimedia Tools and Applications 74, 85-104, 2015 | 20 | 2015 |
| Multi-scale frequency separation network for image deblurring Y Zhang, Q Li, M Qi, D Liu, J Kong, J Wang IEEE Transactions on Circuits and Systems for Video Technology 33 (10), 5525 …, 2023 | 19 | 2023 |
| Joint feature representation and classification via adaptive graph semi-supervised nonnegative matrix factorization Y Yi, Y Chen, J Wang, G Lei, J Dai, H Zhang Signal Processing: Image Communication 89, 115984, 2020 | 19 | 2020 |
