| Multi-stage feature constraints learning for age estimation M Xia, X Zhang, L Weng, Y Xu IEEE Transactions on Information Forensics and Security 15, 2417-2428, 2020 | 105 | 2020 |
| Non-intrusive load disaggregation based on deep dilated residual network M Xia, K Wang, X Zhang, Y Xu Electric Power Systems Research 170, 277-285, 2019 | 93 | 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 | 93 | 2018 |
| Analysis of the Complete Mitochondrial Genome Sequence of the Diploid Cotton Gossypium raimondii by Comparative Genomics Approaches C Bi, AH Paterson, X Wang, Y Xu, D Wu, Y Qu, A Jiang, Q Ye, N Ye BioMed Research International 2016 (1), 5040598, 2016 | 85 | 2016 |
| Water areas segmentation from remote sensing images using a separable residual segnet network L Weng, Y Xu, M Xia, Y Zhang, J Liu, Y Xu ISPRS international journal of geo-information 9 (4), 256, 2020 | 75 | 2020 |
| Assembly and comparative analysis of complete mitochondrial genome sequence of an economic plant Salix suchowensis N Ye, X Wang, J Li, C Bi, Y Xu, D Wu, Q Ye PeerJ 5, e3148, 2017 | 70 | 2017 |
| Characterization and Analysis of the Mitochondrial Genome of Common Bean (Phaseolus vulgaris) by Comparative Genomic Approaches C Bi, N Lu, Y Xu, C He, Z Lu International journal of molecular sciences 21 (11), 3778, 2020 | 65 | 2020 |
| DAU-Net: A novel water areas segmentation structure for remote sensing image M Xia, Y Cui, Y Zhang, Y Xu, J Liu, Y Xu International Journal of Remote Sensing 42 (7), 2594-2621, 2021 | 64 | 2021 |
| Cloud/shadow segmentation based on global attention feature fusion residual network for remote sensing imagery M Xia, T Wang, Y Zhang, J Liu, Y Xu International Journal of Remote Sensing 42 (6), 2022-2045, 2021 | 59 | 2021 |
| Organellar genome assembly methods and comparative analysis of horticultural plants X Wang, F Cheng, D Rohlsen, C Bi, C Wang, Y Xu, S Wei, Q Ye, T Yin, ... Horticulture research 5, 2018 | 59 | 2018 |
| Portfolio trading system of digital currencies: A deep reinforcement learning with multidimensional attention gating mechanism L Weng, X Sun, M Xia, J Liu, Y Xu Neurocomputing 402, 171-182, 2020 | 51 | 2020 |
| Dilated residual attention network for load disaggregation M Xia, W Liu, Y Xu, K Wang, X Zhang Neural Computing and Applications 31, 8931-8953, 2019 | 46 | 2019 |
| Genome-wide identification and characterization of WRKY gene family in Salix suchowensis C Bi, Y Xu, Q Ye, T Yin, N Ye PeerJ 4, e2437, 2016 | 45 | 2016 |
| VGSC: A web‐based vector graph toolkit of genome synteny and collinearity Y Xu, C Bi, G Wu, S Wei, X Dai, T Yin, N Ye BioMed Research International 2016 (1), 7823429, 2016 | 36 | 2016 |
| L1-norm GEPSVM classifier based on an effective iterative algorithm for classification H Yan, Q Ye, T Zhang, DJ Yu, Y Xu Neural Processing Letters 48, 273-298, 2018 | 35 | 2018 |
| Dilated multi-scale cascade forest for satellite image classification M Xia, N Tian, Y Zhang, Y Xu, X Zhang International Journal of Remote Sensing 41 (20), 7779-7800, 2020 | 31 | 2020 |
| River segmentation based on separable attention residual network M Xia, J Qian, X Zhang, J Liu, Y Xu Journal of Applied Remote Sensing 14 (3), 032602-032602, 2020 | 27 | 2020 |
| TCDNet: trilateral change detection network for Google Earth image J Qian, M Xia, Y Zhang, J Liu, Y Xu Remote Sensing 12 (17), 2669, 2020 | 21 | 2020 |
| Assembly and analysis of the complete Salix purpurea L. (Salicaceae) mitochondrial genome sequence S Wei, X Wang, C Bi, Y Xu, D Wu, N Ye SpringerPlus 5, 1-10, 2016 | 19 | 2016 |
| Land use/land cover recognition in arid zone using a multi-dimensional multi-grained residual Forest☆ L Weng, M Qian, M Xia, Y Xu, C Li Computers & Geosciences 144, 104557, 2020 | 14 | 2020 |
Changwei BiNanjing Forestry University在 njfu.edu.cn 的电子邮件经过验证
