Estimation of forest biomass dynamics in subtropical forests using multi-temporal airborne LiDAR data L Cao, NC Coops, JL Innes, SRJ Sheppard, L Fu, H Ruan, G She Remote Sensing of Environment 178, 158-171, 2016 | 176 | 2016 |
Multiview learning with robust double-sided twin SVM Q Ye, P Huang, Z Zhang, Y Zheng, L Fu, W Yang IEEE transactions on Cybernetics 52 (12), 12745-12758, 2021 | 170 | 2021 |
Remoteclip: A vision language foundation model for remote sensing F Liu, D Chen, Z Guan, X Zhou, J Zhu, Q Ye, L Fu, J Zhou IEEE Transactions on Geoscience and Remote Sensing, 2024 | 164 | 2024 |
Nonlinear mixed-effects crown width models for individual trees of Chinese fir (Cunninghamia lanceolata) in south-central China L Fu, H Sun, RP Sharma, Y Lei, H Zhang, S Tang Forest Ecology and Management 302, 210-220, 2013 | 139 | 2013 |
Learning Robust Discriminant Subspace Based on Joint L₂,ₚ- and L₂,ₛ-Norm Distance Metrics L Fu, Z Li, Q Ye, H Yin, Q Liu, X Chen, X Fan, W Yang, G Yang IEEE transactions on neural networks and learning systems 33 (1), 130-144, 2020 | 122 | 2020 |
Nonpeaked discriminant analysis for data representation Q Ye, Z Li, L Fu, Z Zhang, W Yang, G Yang IEEE transactions on neural networks and learning systems 30 (12), 3818-3832, 2019 | 114 | 2019 |
Least squares twin bounded support vector machines based on L1-norm distance metric for classification H Yan, Q Ye, T Zhang, DJ Yu, X Yuan, Y Xu, L Fu Pattern recognition 74, 434-447, 2018 | 99 | 2018 |
Using linear mixed model and dummy variable model approaches to construct compatible single-tree biomass equations at different scales-A case study for Masson pine in Southern … LY Fu, WS Zeng, SZ Tang, RP Sharma, HK Li Journal of Forest Science 58 (3), 101-115, 2012 | 93 | 2012 |
A generalized nonlinear mixed-effects height to crown base model for Mongolian oak in northeast China L Fu, H Zhang, RP Sharma, L Pang, G Wang Forest ecology and management 384, 34-43, 2017 | 89 | 2017 |
Recurrent thrifty attention network for remote sensing scene recognition L Fu, D Zhang, Q Ye IEEE Transactions on Geoscience and Remote Sensing 59 (10), 8257-8268, 2020 | 79 | 2020 |
A generalized interregional nonlinear mixed-effects crown width model for Prince Rupprecht larch in northern China L Fu, RP Sharma, K Hao, S Tang Forest Ecology and Management 389, 364-373, 2017 | 78 | 2017 |
Comparison of seemingly unrelated regressions with error-in-variable models for developing a system of nonlinear additive biomass equations L Fu, Y Lei, G Wang, H Bi, S Tang, X Song Trees 30, 839-857, 2016 | 69 | 2016 |
Robust capped L1-norm twin support vector machine C Wang, Q Ye, P Luo, N Ye, L Fu Neural Networks 114, 47-59, 2019 | 62 | 2019 |
Lp-and Ls-norm distance based robust linear discriminant analysis Q Ye, L Fu, Z Zhang, H Zhao, M Naiem Neural Networks 105, 393-404, 2018 | 62 | 2018 |
A climate-sensitive aboveground biomass model for three larch species in northeastern and northern China L Fu, W Sun, G Wang Trees 31, 557-573, 2017 | 61 | 2017 |
Integrating regional climate change into allometric equations for estimating tree aboveground biomass of Masson pine in China L Fu, X Lei, Z Hu, W Zeng, S Tang, P Marshall, L Cao, X Song, L Yu, ... Annals of Forest Science 74, 1-15, 2017 | 59 | 2017 |
CRNet: Channel-enhanced remodeling-based network for salient object detection in optical remote sensing images L Sun, Q Wang, Y Chen, Y Zheng, Z Wu, L Fu, B Jeon IEEE Transactions on Geoscience and Remote Sensing, 2023 | 53 | 2023 |
BASNet: Burned area segmentation network for real-time detection of damage maps in remote sensing images W Bo, J Liu, X Fan, T Tjahjadi, Q Ye, L Fu IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2022 | 51 | 2022 |
Performance and sensitivity of individual tree segmentation methods for UAV-LiDAR in multiple forest types K Ma, Z Chen, L Fu, W Tian, F Jiang, J Yi, Z Du, H Sun Remote Sensing 14 (2), 298, 2022 | 50 | 2022 |
Climate-sensitive tree height–diameter allometry for Chinese fir in southern China X Zhang, S Chhin, L Fu, L Lu, A Duan, J Zhang Forestry: An International Journal of Forest Research 92 (2), 167-176, 2019 | 47 | 2019 |