| An improved gradient boosting regression tree estimation model for soil heavy metal (Arsenic) pollution monitoring using hyperspectral remote sensing L Wei, Z Yuan, Y Zhong, L Yang, X Hu, Y Zhang Applied Sciences 9 (9), 1943, 2019 | 94 | 2019 |
| Hyperspectral inversion of soil organic matter content based on a combined spectral index model L Wei, Z Yuan, Z Wang, L Zhao, Y Zhang, X Lu, L Cao Sensors 20 (10), 2777, 2020 | 52 | 2020 |
| Estimating the spatial distribution of soil total arsenic in the suspected contaminated area using UAV-Borne hyperspectral imagery and deep learning L Wei, Y Zhang, Q Lu, Z Yuan, H Li, Q Huang Ecological Indicators 133, 108384, 2021 | 30 | 2021 |
| Mapping soil available copper content in the mine tailings pond with combined simulated annealing deep neural network and UAV hyperspectral images Y Zhang, L Wei, Q Lu, Y Zhong, Z Yuan, Z Wang, Z Li, Y Yang Environmental Pollution 320, 120962, 2023 | 24 | 2023 |
| Development of visible/near-infrared hyperspectral imaging for the prediction of total arsenic concentration in soil L Wei, Y Zhang, Z Yuan, Z Wang, F Yin, L Cao Applied Sciences 10 (8), 2941, 2020 | 7 | 2020 |
