| Visible and near-infrared reflectance spectroscopy—An alternative for monitoring soil contamination by heavy metals T Shi, Y Chen, Y Liu, G Wu Journal of hazardous materials 265, 166-176, 2014 | 394 | 2014 |
| Detection of colorectal adenomas with a real-time computer-aided system (ENDOANGEL): a randomised controlled study D Gong, L Wu, J Zhang, G Mu, L Shen, J Liu, Z Wang, W Zhou, P An, ... The lancet Gastroenterology & hepatology 5 (4), 352-361, 2020 | 341 | 2020 |
| On the spatial relationship between ecosystem services and urbanization: A case study in Wuhan, China Y Zhang, Y Liu, Y Zhang, Y Liu, G Zhang, Y Chen Science of the total environment 637, 780-790, 2018 | 321 | 2018 |
| Randomised controlled trial of WISENSE, a real-time quality improving system for monitoring blind spots during esophagogastroduodenoscopy L Wu, J Zhang, W Zhou, P An, L Shen, J Liu, X Jiang, X Huang, G Mu, ... Gut 68 (12), 2161-2169, 2019 | 297 | 2019 |
| Prediction of low heavy metal concentrations in agricultural soils using visible and near-infrared reflectance spectroscopy J Wang, L Cui, W Gao, T Shi, Y Chen, Y Gao Geoderma 216, 1-9, 2014 | 225 | 2014 |
| Volume‐enhanced Raman scattering detection of viruses X Zhang, X Zhang, C Luo, Z Liu, Y Chen, S Dong, C Jiang, S Yang, ... Small 15 (11), 1805516, 2019 | 201 | 2019 |
| Estimating soil organic carbon using VIS/NIR spectroscopy with SVMR and SPA methods X Peng, T Shi, A Song, Y Chen, W Gao Remote Sensing 6 (4), 2699-2717, 2014 | 192 | 2014 |
| Application of fractional-order derivative in the quantitative estimation of soil organic matter content through visible and near-infrared spectroscopy Y Hong, Y Liu, Y Chen, Y Liu, L Yu, Y Liu, H Cheng Geoderma 337, 758-769, 2019 | 183 | 2019 |
| Comparison of multivariate methods for estimating soil total nitrogen with visible/near-infrared spectroscopy T Shi, L Cui, J Wang, T Fei, Y Chen, G Wu Plant and soil 366, 363-375, 2013 | 155 | 2013 |
| Estimating heavy metal concentrations in suburban soils with reflectance spectroscopy H Cheng, R Shen, Y Chen, Q Wan, T Shi, J Wang, Y Wan, Y Hong, X Li Geoderma 336, 59-67, 2019 | 147 | 2019 |
| Mapping soil organic carbon stock by hyperspectral and time-series multispectral remote sensing images in low-relief agricultural areas L Guo, X Sun, P Fu, T Shi, L Dang, Y Chen, M Linderman, G Zhang, ... Geoderma 398, 115118, 2021 | 128 | 2021 |
| Estimation of arsenic in agricultural soils using hyperspectral vegetation indices of rice T Shi, H Liu, Y Chen, J Wang, G Wu Journal of hazardous materials 308, 243-252, 2016 | 126 | 2016 |
| Prediction of soil organic carbon based on Landsat 8 monthly NDVI data for the Jianghan Plain in Hubei Province, China Y Zhang, L Guo, Y Chen, T Shi, M Luo, QL Ju, H Zhang, S Wang Remote Sensing 11 (14), 1683, 2019 | 125 | 2019 |
| Rapid identification of soil organic matter level via visible and near-infrared spectroscopy: Effects of two-dimensional correlation coefficient and extreme learning machine Y Hong, S Chen, Y Zhang, Y Chen, L Yu, Y Liu, Y Liu, H Cheng, Y Liu Science of the Total Environment 644, 1232-1243, 2018 | 122 | 2018 |
| Combination of fractional order derivative and memory-based learning algorithm to improve the estimation accuracy of soil organic matter by visible and near-infrared spectroscopy Y Hong, S Chen, Y Liu, Y Zhang, L Yu, Y Chen, Y Liu, H Cheng, Y Liu Catena 174, 104-116, 2019 | 119 | 2019 |
| Prediction of soil organic carbon stock by laboratory spectral data and airborne hyperspectral images L Guo, H Zhang, T Shi, Y Chen, Q Jiang, M Linderman Geoderma 337, 32-41, 2019 | 110 | 2019 |
| Monitoring land subsidence in Wuhan city (China) using the SBAS-InSAR method with radarsat-2 imagery data Y Zhang, Y Liu, M Jin, Y Jing, Y Liu, Y Liu, W Sun, J Wei, Y Chen Sensors 19 (3), 743, 2019 | 110 | 2019 |
| Comparing laboratory and airborne hyperspectral data for the estimation and mapping of topsoil organic carbon: Feature selection coupled with random forest Y Hong, S Chen, Y Chen, M Linderman, AM Mouazen, Y Liu, L Guo, L Yu, ... Soil and Tillage Research 199, 104589, 2020 | 104 | 2020 |
| Comparing geospatial techniques to predict SOC stocks Y Liu, L Guo, Q Jiang, H Zhang, Y Chen Soil and Tillage Research 148, 46-58, 2015 | 103 | 2015 |
| Exploring the potential of airborne hyperspectral image for estimating topsoil organic carbon: Effects of fractional-order derivative and optimal band combination algorithm Y Hong, L Guo, S Chen, M Linderman, AM Mouazen, L Yu, Y Chen, Y Liu, ... Geoderma 365, 114228, 2020 | 102 | 2020 |
Yongsheng HongZhejiang UniversityПідтверджена електронна адреса в zju.edu.cn