| Smallholder maize area and yield mapping at national scales with Google Earth Engine Z Jin, G Azzari, C You, S Di Tommaso, S Aston, M Burke, DB Lobell Remote sensing of environment 228, 115-128, 2019 | 356 | 2019 |
| Water Use Efficiency as a Constraint and Target for Improving the Resilience and Productivity of C3 and C4 Crops ADB Leakey, JN Ferguson, CP Pignon, A Wu, Z Jin, GL Hammer, ... Annual review of plant biology 70 (1), 781-808, 2019 | 289 | 2019 |
| Towards a multiscale crop modelling framework for climate change adaptation assessment B Peng, K Guan, J Tang, EA Ainsworth, S Asseng, CJ Bernacchi, ... Nature plants 6 (4), 338-348, 2020 | 234 | 2020 |
| Uniting remote sensing, crop modelling and economics for agricultural risk management E Benami, Z Jin, MR Carter, A Ghosh, RJ Hijmans, A Hobbs, B Kenduiywo, ... Nature Reviews Earth & Environment 2 (2), 140-159, 2021 | 219 | 2021 |
| Eyes in the Sky, Boots on the Ground: Assessing Satellite-and Ground-Based Approaches to Crop Yield Measurement and Analysis DB Lobell, G Azzari, M Burke, S Gourlay, Z Jin, T Kilic, S Murray American Journal of Agricultural Economics, 2019 | 177 | 2019 |
| The combined and separate impacts of climate extremes on the current and future US rainfed maize and soybean production under elevated CO2 Z Jin, Q Zhuang, J Wang, SV Archontoulis, Z Zobel, VR Kotamarthi Global change biology 23 (7), 2687-2704, 2017 | 170 | 2017 |
| Improving the accuracy of satellite-based high-resolution yield estimation: A test of multiple scalable approaches Z Jin, G Azzari, DB Lobell Agricultural and forest meteorology 247, 207-220, 2017 | 131 | 2017 |
| Methane emissions from an alpine wetland on the Tibetan Plateau: Neglected but vital contribution of the nongrowing season W Song, H Wang, G Wang, L Chen, Z Jin, Q Zhuang, JS He Journal of Geophysical Research: Biogeosciences 120 (8), 1475-1490, 2015 | 116 | 2015 |
| Increasing drought and diminishing benefits of elevated carbon dioxide for soybean yields across the US Midwest Z Jin, EA Ainsworth, ADB Leakey, DB Lobell Global change biology 24 (2), e522-e533, 2018 | 110 | 2018 |
| Mapping smallholder yield heterogeneity at multiple scales in Eastern Africa Z Jin, G Azzari, M Burke, S Aston, DB Lobell Remote Sensing 9 (9), 931, 2017 | 110 | 2017 |
| Warming reduces global agricultural production by decreasing cropping frequency and yields P Zhu, J Burney, J Chang, Z Jin, ND Mueller, Q Xin, J Xu, L Yu, ... Nature Climate Change 12 (11), 1016-1023, 2022 | 103 | 2022 |
| Early-and in-season crop type mapping without current-year ground truth: Generating labels from historical information via a topology-based approach C Lin, L Zhong, XP Song, J Dong, DB Lobell, Z Jin Remote Sensing of Environment 274, 112994, 2022 | 94 | 2022 |
| Do maize models capture the impacts of heat and drought stresses on yield? Using algorithm ensembles to identify successful approaches Z Jin, Q Zhuang, Z Tan, JS Dukes, B Zheng, JM Melillo Global change biology 22 (9), 3112-3126, 2016 | 86 | 2016 |
| Crop model-and satellite imagery-based recommendation tool for variable rate N fertilizer application for the US Corn system Z Jin, R Prasad, J Shriver, Q Zhuang Precision Agriculture 18, 779-800, 2017 | 81 | 2017 |
| Phenology shift from 1989 to 2008 on the Tibetan Plateau: an analysis with a process-based soil physical model and remote sensing data Z Jin, Q Zhuang, JS He, T Luo, Y Shi Climatic Change 119, 435-449, 2013 | 76 | 2013 |
| Assessing the impacts of cover crops on maize and soybean yield in the US Midwestern agroecosystems Z Qin, K Guan, W Zhou, B Peng, MB Villamil, Z Jin, J Tang, R Grant, ... Field Crops Research 273, 108264, 2021 | 75 | 2021 |
| Occurrence of crop pests and diseases has largely increased in China since 1970 C Wang, X Wang, Z Jin, C Müller, TAM Pugh, A Chen, T Wang, L Huang, ... Nature Food 3 (1), 57-65, 2022 | 73 | 2022 |
| Iterative training sample expansion to increase and balance the accuracy of land classification from VHR imagery ZY Lv, G Li, Z Jin, JA Benediktsson, GM Foody IEEE Transactions on Geoscience and Remote Sensing 59 (1), 139-150, 2020 | 70 | 2020 |
| Detecting in-season crop nitrogen stress of corn for field trials using UAV-and CubeSat-based multispectral sensing Y Cai, K Guan, E Nafziger, G Chowdhary, B Peng, Z Jin, S Wang, S Wang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019 | 65 | 2019 |
| The important but weakening maize yield benefit of grain filling prolongation in the US Midwest P Zhu, Z Jin, Q Zhuang, P Ciais, C Bernacchi, X Wang, D Makowski, ... Global change biology 24 (10), 4718-4730, 2018 | 64 | 2018 |
David LobellStanford UniversityПодтвержден адрес электронной почты в домене stanford.edu