| Deep convolutional neural networks for rice grain yield estimation at the ripening stage using UAV-based remotely sensed images Q Yang, L Shi, J Han, Y Zha, P Zhu Field Crops Research 235, 142-153, 2019 | 372 | 2019 |
| A near real-time deep learning approach for detecting rice phenology based on UAV images Q Yang, L Shi, J Han, J Yu, K Huang Agricultural and Forest Meteorology 287, 107938, 2020 | 148 | 2020 |
| A sparse grid based Bayesian method for contaminant source identification L Zeng, L Shi, D Zhang, L Wu Advances in Water Resources 37, 1-9, 2012 | 118 | 2012 |
| Review of numerical solution of Richardson–Richards equation for variably saturated flow in soils Y Zha, J Yang, J Zeng, CHM Tso, W Zeng, L Shi Wiley Interdisciplinary Reviews: Water, e1364, 2019 | 109 | 2019 |
| Comparison of physical-based, data-driven and hybrid modeling approaches for evapotranspiration estimation X Hu, L Shi, G Lin, L Lin Journal of Hydrology 601, 126592, 2021 | 87 | 2021 |
| Improvement of sugarcane yield estimation by assimilating UAV-derived plant height observations D Yu, Y Zha, L Shi, X Jin, S Hu, Q Yang, K Huang, W Zeng European Journal of Agronomy 121, 126159, 2020 | 85 | 2020 |
| A modified Picard iteration scheme for overcoming numerical difficulties of simulating infiltration into dry soil Y Zha, J Yang, L Yin, Y Zhang, W Zeng, L Shi Journal of hydrology 551, 56-69, 2017 | 82 | 2017 |
| Biodegradation of polybrominated diphenyl ethers and strategies for acceleration: A review C Zhao, M Yan, H Zhong, Z Liu, L Shi, M Chen, G Zeng, B Song, B Shao, ... International biodeterioration & biodegradation 129, 23-32, 2018 | 81 | 2018 |
| Numerical comparison of iterative ensemble Kalman filters for unsaturated flow inverse modeling X Song, L Shi, M Ye, J Yang, IM Navon Vadose Zone Journal 13 (2), 1-12, 2014 | 71 | 2014 |
| A fully coupled numerical modeling for regional unsaturated–saturated water flow Y Zhu, L Shi, L Lin, J Yang, M Ye Journal of hydrology 475, 188-203, 2012 | 71 | 2012 |
| Improvement of sugarcane crop simulation by SWAP-WOFOST model via data assimilation S Hu, L Shi, K Huang, Y Zha, X Hu, H Ye, Q Yang Field Crops Research 232, 49-61, 2019 | 68 | 2019 |
| Probabilistic collocation method for unconfined flow in heterogeneous media L Shi, J Yang, D Zhang, H Li Journal of hydrology 365 (1-2), 4-10, 2009 | 65 | 2009 |
| A Reduced‐Order Successive Linear Estimator for Geostatistical Inversion and Its Application in Hydraulic Tomography Y Zha, TCJ Yeh, WA Illman, W Zeng, Y Zhang, F Sun, L Shi Water Resources Research, 2018 | 57 | 2018 |
| Simulating one‐dimensional unsaturated flow in heterogeneous soils with water content‐based Richards equation Y Zha, J Yang, L Shi, X Song Vadose Zone Journal 12 (2), 1-13, 2013 | 57 | 2013 |
| Estimation of actual irrigation amount and its impact on groundwater depletion: A case study in the Hebei Plain, China X Hu, L Shi, J Zeng, J Yang, Y Zha, Y Yao, G Cao Journal of Hydrology 543, 433-449, 2016 | 55 | 2016 |
| Continuum-scale convective mixing in geological CO2 sequestration in anisotropic and heterogeneous saline aquifers C Chen, L Zeng, L Shi Advances in water resources 53, 175-187, 2013 | 55 | 2013 |
| Comparison of the use of a physical-based model with data assimilation and machine learning methods for simulating soil water dynamics P Li, Y Zha, L Shi, CHM Tso, Y Zhang, W Zeng Journal of Hydrology 584, 124692, 2020 | 54 | 2020 |
| Deriving adaptive operating rules of hydropower reservoirs using time‐varying parameters generated by the E n KF M Feng, P Liu, S Guo, L Shi, C Deng, B Ming Water Resources Research 53 (8), 6885-6907, 2017 | 53 | 2017 |
| A generalized Ross method for two-and three-dimensional variably saturated flow Y Zha, L Shi, M Ye, J Yang Advances in Water Resources 54, 67-77, 2013 | 52 | 2013 |
| Real-time detection of rice phenology through convolutional neural network using handheld camera images J Han, L Shi, Q Yang, K Huang, Y Zha, J Yu Precision Agriculture 22, 154-178, 2021 | 49 | 2021 |
