| Matrix-vector nonnegative tensor factorization for blind unmixing of hyperspectral imagery Y Qian, F Xiong, S Zeng, J Zhou, YY Tang IEEE Transactions on Geoscience and Remote Sensing 55 (3), 1776-1792, 2016 | 188 | 2016 |
| Image retrieval using spatiograms of colors quantized by gaussian mixture models S Zeng, R Huang, H Wang, Z Kang Neurocomputing 171, 673-684, 2016 | 122 | 2016 |
| Graph weeds net: A graph-based deep learning method for weed recognition K Hu, G Coleman, S Zeng, Z Wang, M Walsh Computers and electronics in agriculture 174, 105520, 2020 | 116 | 2020 |
| A unified collaborative multikernel fuzzy clustering for multiview data S Zeng, X Wang, H Cui, C Zheng, D Feng IEEE Transactions on Fuzzy Systems 26 (3), 1671-1687, 2017 | 66 | 2017 |
| Image segmentation using spectral clustering of Gaussian mixture models S Zeng, R Huang, Z Kang, N Sang Neurocomputing 144, 346-356, 2014 | 60 | 2014 |
| Deep learning techniques for in-crop weed recognition in large-scale grain production systems: a review K Hu, Z Wang, G Coleman, A Bender, T Yao, S Zeng, D Song, ... Precision Agriculture 25 (1), 1-29, 2024 | 54 | 2024 |
| Kernelized mahalanobis distance for fuzzy clustering S Zeng, X Wang, X Duan, S Zeng, Z Xiao, D Feng IEEE Transactions on Fuzzy Systems 29 (10), 3103-3117, 2020 | 48 | 2020 |
| Rice seed purity identification technology using hyperspectral image with LASSO logistic regression model W Liu, S Zeng, G Wu, H Li, F Chen Sensors 21 (13), 4384, 2021 | 41 | 2021 |
| A study on multi-kernel intuitionistic fuzzy C-means clustering with multiple attributes S Zeng, Z Wang, R Huang, L Chen, D Feng Neurocomputing 335, 59-71, 2019 | 39 | 2019 |
| Hyperspectral image classification with global–local discriminant analysis and spatial–spectral context S Zeng, Z Wang, C Gao, Z Kang, D Feng IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018 | 35 | 2018 |
| Deep metric learning for k nearest neighbor classification T Liao, Z Lei, T Zhu, S Zeng, Y Li, C Yuan IEEE Transactions on Knowledge and Data Engineering 35 (1), 264-275, 2021 | 30 | 2021 |
| A study on semi-supervised FCM algorithm S Zeng, X Tong, N Sang, R Huang Knowledge and information systems 35, 585-612, 2013 | 30 | 2013 |
| Study on multi-center fuzzy C-means algorithm based on transitive closure and spectral clustering S Zeng, X Tong, N Sang Applied Soft Computing 16, 89-101, 2014 | 25 | 2014 |
| Discriminating geographic origin of sesame oils and determining lignans by near-infrared spectroscopy combined with chemometric methods Y Liu, Z Xia, L Yao, Y Wu, Y Li, S Zeng, H Li Journal of Food Composition and Analysis 84, 103327, 2019 | 22 | 2019 |
| Self-supervised anomaly pattern detection for large scale industrial data X Tang, S Zeng, F Yu, W Yu, Z Sheng, Z Kang Neurocomputing 515, 1-12, 2023 | 17 | 2023 |
| An enhanced spectral fusion 3D CNN model for hyperspectral image classification J Zhou, S Zeng, Z Xiao, J Zhou, H Li, Z Kang Remote Sensing 14 (21), 5334, 2022 | 13 | 2022 |
| A method for detection of corn kernel mildew based on co-clustering algorithm with hyperspectral image technology Z Kang, T Huang, S Zeng, H Li, L Dong, C Zhang Sensors 22 (14), 5333, 2022 | 13 | 2022 |
| Self-Supervised deep correlational multi-view clustering B Xin, S Zeng, X Wang 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 13 | 2021 |
| Hybrid active contour model for inhomogeneous image segmentation with background estimation K Sun, Y Li, S Zeng, J Wang Journal of electronic imaging 27 (2), 023018-023018, 2018 | 11 | 2018 |
| A novel spatial-spectral pyramid network for hyperspectral image classification J Zhou, S Zeng, G Gao, Y Chen, Y Tang IEEE Transactions on Geoscience and Remote Sensing, 2023 | 9 | 2023 |
David Dagan FengThe University of Sydney確認したメール アドレス: sydney.edu.au