| Direct and indirect impacts of urbanization on vegetation growth across the world’s cities L Zhang, L Yang, CM Zohner, TW Crowther, M Li, F Shen, M Guo, J Qin, ... Science advances 8 (27), eabo0095, 2022 | 119 | 2022 |
| Quantifying influences of natural and anthropogenic factors on vegetation changes using structural equation modeling: A case study in Jiangsu Province, China L Yang, F Shen, L Zhang, Y Cai, F Yi, C Zhou Journal of Cleaner Production 280, 124330, 2021 | 88 | 2021 |
| Soil organic carbon prediction using phenological parameters and remote sensing variables generated from Sentinel-2 images X He, L Yang, A Li, L Zhang, F Shen, Y Cai, C Zhou Catena 205, 105442, 2021 | 60 | 2021 |
| A deep learning method to predict soil organic carbon content at a regional scale using satellite-based phenology variables L Yang, Y Cai, L Zhang, M Guo, A Li, C Zhou International Journal of Applied Earth Observation and Geoinformation 102 …, 2021 | 53 | 2021 |
| Comparison of conditioned Latin hypercube and feature space coverage sampling for predicting soil classes using simulation from soil maps T Ma, DJ Brus, AX Zhu, L Zhang, T Scholten Geoderma 370, 114366, 2020 | 47 | 2020 |
| Spatiotemporal causal convolutional network for forecasting hourly PM2.5 concentrations in Beijing, China L Zhang, J Na, J Zhu, Z Shi, C Zou, L Yang Computers & Geosciences 155, 104869, 2021 | 42 | 2021 |
| A self-training semi-supervised machine learning method for predictive mapping of soil classes with limited sample data L Zhang, L Yang, T Ma, F Shen, Y Cai, C Zhou Geoderma 384, 114809, 2021 | 38 | 2021 |
| A CNN-LSTM model for soil organic carbon content prediction with long time series of MODIS-based phenological variables L Zhang, Y Cai, H Huang, A Li, L Yang, C Zhou Remote sensing 14 (18), 4441, 2022 | 30 | 2022 |
| Quantifying the direct effects of long-term dynamic land use intensity on vegetation change and its interacted effects with economic development and climate change in jiangsu … F Shen, L Yang, L Zhang, M Guo, H Huang, C Zhou Journal of Environmental Management 325, 116562, 2023 | 17 | 2023 |
| Quantitative analysis on coastline changes of Yangtze River Delta based on high spatial resolution remote sensing images Q Wu, S Miao, H Huang, M Guo, L Zhang, L Yang, C Zhou Remote Sensing 14 (2), 310, 2022 | 13 | 2022 |
| A review on digital mapping of soil carbon in cropland: progress, challenge, and prospect H Huang, L Yang, L Zhang, Y Pu, C Yang, Q Wu, Y Cai, F Shen, C Zhou Environmental Research Letters 17 (12), 123004, 2022 | 10 | 2022 |
| A multiple soil properties oriented representative sampling strategy for digital soil mapping L Zhang, L Yang, Y Cai, H Huang, J Shi, C Zhou Geoderma 406, 115531, 2022 | 10 | 2022 |
| Extracting knowledge from legacy maps to delineate eco-geographical regions L Yang, X Li, Q Yang, L Zhang, S Zhang, S Wu, C Zhou International Journal of Geographical Information Science 35 (2), 250-272, 2021 | 8 | 2021 |
| Soil organic matter mapping using INLA-SPDE with remote sensing based soil moisture indices and Fourier transforms decomposed variables C Yang, L Yang, L Zhang, C Zhou Geoderma 437, 116571, 2023 | 5 | 2023 |
| 基于分融策略的土壤采样设计方法 张磊， 朱阿兴， 杨琳， 秦承志， 刘军志， 刘雪琦 土壤学报 54 (5), 1079-1090, 2017 | 3 | 2017 |
| Urban greening effectively curbs warming in Chinese cities T Bai, L Yang, Y Zhou, B Chen, Y Song, Y Yuan, L Meng, Z Xia, M Chen, ... | 1 | 2023 |
| An adaptive uncertainty-guided sampling method for geospatial prediction and its application in digital soil mapping L Zhang, AX Zhu, J Liu, T Ma, L Yang, C Zhou International Journal of Geographical Information Science 37 (2), 476-498, 2023 | 1 | 2023 |
| Impact of socio-economic environment and its interaction on the initial spread of COVID-19 in mainland China M Guo, L Yang, F Shen, L Zhang, A Li, Y Cai, C Zhou Geospatial Health 17 (s1), 2022 | 1 | 2022 |
| A sample differentiation and fusion strategy for designing of soil sampling L Zhang, AX Zhu, L Yang, CZ Qin, JZ Liu, XQ Liu Acta Pedologica Sinica 54 (5), 1079-1090, 2017 | 1 | 2017 |
| Using process-oriented model output to enhance machine learning-based soil organic carbon prediction in space and time L Zhang, GBM Heuvelink, VL Mulder, S Chen, X Deng, L Yang Science of The Total Environment 922, 170778, 2024 | | 2024 |
A-Xing ZhuProfessor of Geography, University of Wisconsin-MadisonVerified email at wisc.edu
