| Improved daily SMAP satellite soil moisture prediction over China using deep learning model with transfer learning Q Li, Z Wang, W Shangguan, L Li, Y Yao, F Yu Journal of Hydrology 600, 126698, 2021 | 118 | 2021 |
| An attention-aware LSTM model for soil moisture and soil temperature prediction Q Li, Y Zhu, W Shangguan, X Wang, L Li, F Yu Geoderma 409, 115651, 2022 | 114 | 2022 |
| A 1 km daily soil moisture dataset over China using in situ measurement and machine learning Q Li, G Shi, W Shangguan, V Nourani, J Li, L Li, F Huang, Y Zhang, ... Earth System Science Data 14 (12), 5267-5286, 2022 | 98 | 2022 |
| A SUMO ligase AtMMS21 regulates the stability of the chromatin remodeler BRAHMA in root development J Zhang, J Lai, F Wang, S Yang, Z He, J Jiang, Q Li, Q Wu, Y Liu, M Yu, ... Plant physiology 173 (3), 1574-1582, 2017 | 54 | 2017 |
| Soil temperature prediction using convolutional neural network based on ensemble empirical mode decomposition H Hao, F Yu, Q Li Ieee Access 9, 4084-4096, 2020 | 44 | 2020 |
| Improving soil moisture prediction using a novel encoder-decoder model with residual learning Q Li, Z Li, W Shangguan, X Wang, L Li, F Yu Computers and Electronics in Agriculture 195, 106816, 2022 | 43 | 2022 |
| GANs-LSTM model for soil temperature estimation from meteorological: a new approach Q Li, H Hao, Y Zhao, Q Geng, G Liu, Y Zhang, F Yu Ieee Access 8, 59427-59443, 2020 | 34 | 2020 |
| A spatial downscaling method for remote sensing soil moisture based on random forest considering soil moisture memory and mass conservation T Mao, W Shangguan, Q Li, L Li, Y Zhang, F Huang, J Li, W Liu, R Zhang Remote Sensing 14 (16), 3858, 2022 | 26 | 2022 |
| A novel multichannel long short-term memory method with time series for soil temperature modeling Q Li, Y Zhao, F Yu IEEE Access 8, 182026-182043, 2020 | 26 | 2020 |
| An ensemble 3D convolutional neural network for spatiotemporal soil temperature forecasting F Yu, H Hao, Q Li Sustainability 13 (16), 9174, 2021 | 20 | 2021 |
| Towards interpreting machine learning models for predicting soil moisture droughts F Huang, Y Zhang, Y Zhang, V Nourani, Q Li, L Li, W Shangguan Environmental Research Letters 18 (7), 074002, 2023 | 17 | 2023 |
| A new embedded estimation model for soil temperature prediction X Wang, W Li, Q Li Scientific Programming 2021 (1), 5881018, 2021 | 15 | 2021 |
| Distribution entropy boosted VLAD for image retrieval Q Zhou, C Wang, P Liu, Q Li, Y Wang, S Chen Entropy 18 (8), 311, 2016 | 15 | 2016 |
| Interpreting Conv-LSTM for spatio-temporal soil moisture prediction in China F Huang, Y Zhang, Y Zhang, W Shangguan, Q Li, L Li, S Jiang Agriculture 13 (5), 971, 2023 | 13 | 2023 |
| Causality-structured deep learning for soil moisture predictions L Li, Y Dai, W Shangguan, Z Wei, N Wei, Q Li Journal of Hydrometeorology 23 (8), 1315-1331, 2022 | 13 | 2022 |
| A 1 km global carbon flux dataset using in situ measurements and deep learning W Shangguan, Z Xiong, V Nourani, Q Li, X Lu, L Li, F Huang, Y Zhang, ... Forests 14 (5), 913, 2023 | 12 | 2023 |
| Beyond prediction: An integrated post-hoc approach to interpret complex model in hydrometeorology F Huang, W Shangguan, Q Li, L Li, Y Zhang Environmental Modelling & Software 167, 105762, 2023 | 11 | 2023 |
| A new fast quality-guided flood-fill phase unwrapping algorithm Q Li, C Bao, J Zhao, Z Jiang Journal of Physics: Conference Series 1069 (1), 012182, 2018 | 9 | 2018 |
| Hierarchical geometry verification via maximum entropy saliency in image retrieval H Zhao, Q Li, P Liu Entropy 16 (7), 3848-3865, 2014 | 9 | 2014 |
| LandBench 1.0: A benchmark dataset and evaluation metrics for data-driven land surface variables prediction Q Li, C Zhang, W Shangguan, Z Wei, H Yuan, J Zhu, X Li, L Li, G Li, P Liu, ... Expert Systems with Applications 243, 122917, 2024 | 8 | 2024 |
