| Prediction of winter wheat yield based on multi-source data and machine learning in China J Han, Z Zhang, J Cao, Y Luo, L Zhang, Z Li, J Zhang Remote Sensing 12 (2), 236, 2020 | 271 | 2020 |
| Integrating multi-source data for rice yield prediction across china using machine learning and deep learning approaches J Cao, Z Zhang, F Tao, L Zhang, Y Luo, J Zhang, J Han, J Xie Agricultural and Forest Meteorology 297, 108275, 2021 | 239 | 2021 |
| ChinaCropPhen1km: a high-resolution crop phenological dataset for three staple crops in China during 2000–2015 based on leaf area index (LAI) products Y Luo, Z Zhang, Y Chen, Z Li, F Tao Earth System Science Data 12 (1), 197-214, 2020 | 193 | 2020 |
| Wheat yield predictions at a county and field scale with deep learning, machine learning, and google earth engine J Cao, Z Zhang, Y Luo, L Zhang, J Zhang, Z Li, F Tao European Journal of Agronomy 123, 126204, 2021 | 175 | 2021 |
| Identifying the spatiotemporal changes of annual harvesting areas for three staple crops in China by integrating multi-data sources Y Luo, Z Zhang, Z Li, Y Chen, L Zhang, J Cao, F Tao Environmental Research Letters 15 (7), 074003, 2020 | 148 | 2020 |
| Combining optical, fluorescence, thermal satellite, and environmental data to predict county-level maize yield in China using machine learning approaches L Zhang, Z Zhang, Y Luo, J Cao, F Tao Remote Sensing 12 (1), 21, 2019 | 125 | 2019 |
| Identifying the contributions of multi-source data for winter wheat yield prediction in China J Cao, Z Zhang, F Tao, L Zhang, Y Luo, J Han, Z Li Remote Sensing 12 (5), 750, 2020 | 97 | 2020 |
| Integrating satellite-derived climatic and vegetation indices to predict smallholder maize yield using deep learning L Zhang, Z Zhang, Y Luo, J Cao, R Xie, S Li Agricultural and Forest Meteorology 311, 108666, 2021 | 95 | 2021 |
| Annual paddy rice planting area and cropping intensity datasets and their dynamics in the Asian monsoon region from 2000 to 2020 J Han, Z Zhang, Y Luo, J Cao, L Zhang, H Zhuang, F Cheng, J Zhang, ... Agricultural Systems 200, 103437, 2022 | 69 | 2022 |
| The RapeseedMap10 database: annual maps of rapeseed at a spatial resolution of 10 m based on multi-source data J Han, Z Zhang, Y Luo, J Cao, L Zhang, J Zhang, Z Li Earth System Science Data 13 (6), 2857-2874, 2021 | 43 | 2021 |
| Accurately mapping global wheat production system using deep learning algorithms Y Luo, Z Zhang, J Cao, L Zhang, J Zhang, J Han, H Zhuang, F Cheng, ... International Journal of Applied Earth Observation and Geoinformation 110 …, 2022 | 40 | 2022 |
| Optimizing genotype-environment-management interactions for maize farmers to adapt to climate change in different agro-ecological zones across China L Zhang, Z Zhang, Y Luo, J Cao, Z Li Science of the Total Environment 728, 138614, 2020 | 39 | 2020 |
| Adapting to climate change precisely through cultivars renewal for rice production across China: When, where, and what cultivars will be required? L Zhang, Z Zhang, F Tao, Y Luo, J Zhang, J Cao Agricultural and Forest Meteorology 316, 108856, 2022 | 38 | 2022 |
| NESEA-Rice10: high-resolution annual paddy rice maps for Northeast and Southeast Asia from 2017 to 2019 J Han, Z Zhang, Y Luo, J Cao, L Zhang, F Cheng, H Zhuang, J Zhang, ... Earth System Science Data 13 (12), 5969-5986, 2021 | 37 | 2021 |
| Developing High-Resolution Crop Maps for Major Crops in the European Union Based on Transductive Transfer Learning and Limited Ground Data Y Luo, Z Zhang, L Zhang, J Han, J Cao, J Zhang Remote Sensing 14 (8), 1809, 2022 | 26 | 2022 |
| Planning maize hybrids adaptation to future climate change by integrating crop modelling with machine learning L Zhang, Z Zhang, F Tao, Y Luo, J Cao, Z Li, R Xie, S Li Environmental Research Letters 16 (12), 124043, 2021 | 26 | 2021 |
| A new framework to quantify maize production risk from chilling injury in Northeast China Z Li, Z Zhang, J Zhang, Y Luo, L Zhang Climate Risk Management 32, 100299, 2021 | 21 | 2021 |
| Mapping rapeseed planting areas using an automatic phenology-and pixel-based algorithm (APPA) in Google Earth Engine J Han, Z Zhang, J Cao, Y Luo The Crop Journal, 2022 | 20 | 2022 |
| Maize phenological response to climate warming weakened over 1981-2018 due to cultivar shifts Y Luo, Z Zhang, L Zhang, J Zhang, F Tao Advances in Climate Change Research, 2022 | 17* | 2022 |
| Response of rice phenology to climate warming weakened across China during 1981–2018: did climatic or anthropogenic factors play a role? L Zhang, Z Zhang, J Zhang, Y Luo, F Tao Environmental Research Letters 17 (6), 064029, 2022 | 17 | 2022 |
