27 citations as recorded by crossref.

1. Quantifying carbon budget, crop yields and their responses to environmental variability using the ecosys model for U.S. Midwestern agroecosystems W. Zhou et al. 10.1016/j.agrformet.2021.108521
2. Assessing Different Plant‐Centric Water Stress Metrics for Irrigation Efficacy Using Soil‐Plant‐Atmosphere‐Continuum Simulation J. Zhang et al. 10.1029/2021WR030211
3. NIRP as a remote sensing proxy for measuring gross primary production across different biomes and climate zones: Performance and limitations S. Chen et al. 10.1016/j.jag.2023.103437
4. Tracking diurnal to seasonal variations of gross primary productivity using a geostationary satellite, GK-2A advanced meteorological imager S. Jeong et al. 10.1016/j.rse.2022.113365
5. Thermal, water, and land cover factors led to contrasting urban and rural vegetation resilience to extreme hot months Y. Wang et al. 10.1093/pnasnexus/pgae147
6. River Bars and Vegetation Dynamics in Response to Upstream Damming: A Case Study of the Middle Yangtze River Y. Hu et al. 10.3390/rs15092324
7. Evaluation of Ecosystem Water Use Efficiency Based on Coupled and Uncoupled Remote Sensing Products for Maize and Soybean L. Huang et al. 10.3390/rs15204922
8. Quantitative assessment of the scale conversion from instantaneous to daily GPP under various sky conditions based on MODIS local overpassing time J. Lee & J. Im 10.1080/15481603.2024.2319372
9. Combining Remotely Sensed Evapotranspiration and an Agroecosystem Model to Estimate Center‐Pivot Irrigation Water Use at High Spatio‐Temporal Resolution J. Zhang et al. 10.1029/2022WR032967
10. Long-term, high-resolution GPP mapping in Qinghai using multi-source data and google earth engine F. Yang et al. 10.1080/17538947.2023.2288131
11. Remote‐Sensing Derived Trends in Gross Primary Production Explain Increases in the CO2 Seasonal Cycle Amplitude L. He et al. 10.1029/2021GB007220
12. Improved estimation of gross primary production with NIRvP by incorporating a phenophase scheme for temperate deciduous forest ecosystems J. Jin et al. 10.1016/j.foreco.2024.121742
13. A flexible and efficient knowledge-guided machine learning data assimilation (KGML-DA) framework for agroecosystem prediction in the US Midwest Q. Yang et al. 10.1016/j.rse.2023.113880
14. Observed divergence in the trends of temperature controls on Chinese ecosystem water use efficiency X. Xu et al. 10.1016/j.ecolind.2023.111241
15. Improved estimation of global gross primary productivity during 1981–2020 using the optimized P model Z. Zhang et al. 10.1016/j.scitotenv.2022.156172
16. Photosynthetically Active Radiation and Foliage Clumping Improve Satellite-Based NIRv Estimates of Gross Primary Production I. Filella et al. 10.3390/rs15082207
17. A vehicle imaging approach to acquire ground truth data for upscaling to satellite data: A case study for estimating harvesting dates C. Jiang et al. 10.1016/j.rse.2023.113894
18. Spatiotemporal Variability of Gross Primary Productivity in Türkiye: A Multi-Source and Multi-Method Assessment E. Başakın et al. 10.3390/rs16111994
19. Machine learning methods for assessing photosynthetic activity: environmental monitoring applications S. Khruschev et al. 10.1007/s12551-022-00982-2
20. A simple approach to enhance the TROPOMI solar-induced chlorophyll fluorescence product by combining with canopy reflected radiation at near-infrared band X. Liu et al. 10.1016/j.rse.2022.113341
21. Temporal upscaling of MODIS instantaneous FAPAR improves forest gross primary productivity (GPP) simulation Y. Zhang et al. 10.1016/j.jag.2023.103360
22. Matching high resolution satellite data and flux tower footprints improves their agreement in photosynthesis estimates J. Kong et al. 10.1016/j.agrformet.2022.108878
23. Sustainable irrigation based on co-regulation of soil water supply and atmospheric evaporative demand J. Zhang et al. 10.1038/s41467-021-25254-7
24. How does uncertainty of soil organic carbon stock affect the calculation of carbon budgets and soil carbon credits for croplands in the U.S. Midwest? W. Zhou et al. 10.1016/j.geoderma.2022.116254
25. A physiological signal derived from sun-induced chlorophyll fluorescence quantifies crop physiological response to environmental stresses in the U.S. Corn Belt H. Kimm et al. 10.1088/1748-9326/ac3b16
26. Ground far-red sun-induced chlorophyll fluorescence and vegetation indices in the US Midwestern agroecosystems G. Wu et al. 10.1038/s41597-024-03004-w
27. Attributing differences of solar-induced chlorophyll fluorescence (SIF)-gross primary production (GPP) relationships between two C4 crops: corn and miscanthus G. Wu et al. 10.1016/j.agrformet.2022.109046