37 citations as recorded by crossref.

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7. Large Differences in Terrestrial Vegetation Production Derived from Satellite-Based Light Use Efficiency Models W. Cai et al. 10.3390/rs6098945
8. Bayesian optimization of a light use efficiency model for the estimation of daily gross primary productivity in a range of Italian forest ecosystems M. Bagnara et al. 10.1016/j.ecolmodel.2014.09.021
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11. Interannual variations and trends of gross primary production and transpiration of four mature deciduous broadleaf forest sites during 2000–2020 L. Pan et al. 10.1016/j.rse.2024.114042
12. Mapping the reduction in gross primary productivity in subarctic birch forests due to insect outbreaks P. Olsson et al. 10.5194/bg-14-1703-2017
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14. A modified two-leaf light use efficiency model for improving the simulation of GPP using a radiation scalar X. Guan et al. 10.1016/j.agrformet.2021.108546
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17. Applying Different Vegetation Indices for Gross Primary Productivity Estimation in Soybean and Maize Based on a Modified Light-Use Efficiency Model Z. Wei et al. 10.1109/JSTARS.2025.3574163
18. Modeling gross primary production of maize and soybean croplands using light quality, temperature, water stress, and phenology A. Nguy-Robertson et al. 10.1016/j.agrformet.2015.04.008
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21. Exploring the Potential of Spatially Downscaled Solar-Induced Chlorophyll Fluorescence to Monitor Drought Effects on Gross Primary Production in Winter Wheat Q. Shen et al. 10.1109/JSTARS.2022.3148393
22. Estimating terrestrial gross primary productivity in water limited ecosystems across Africa using the Southampton Carbon Flux (SCARF) model P. Chiwara et al. 10.1016/j.scitotenv.2018.02.314
23. A global 0.05° dataset for gross primary production of sunlit and shaded vegetation canopies from 1992 to 2020 W. Bi et al. 10.1038/s41597-022-01309-2
24. Prediction of Gross Primary Productivity Change in Central Asia Under Climate Change Using Deep Learning W. Shao et al. 10.1109/JSTARS.2025.3556678
25. Investigating the Patterns and Controls of Ecosystem Light Use Efficiency with the Data from the Global Farmland Fluxdata Network F. Chen et al. 10.3390/su132212673
26. Comparison of several models for estimating gross primary production of drip-irrigated maize in arid regions H. Guo et al. 10.1016/j.ecolmodel.2022.109928
27. Dominant temperate and subalpine Japanese trees have variable photosynthetic thermal optima according to site mean annual temperature Y. Kobayashi et al. 10.1111/geb.13636
28. Historical Attributions and Future Projections of Gross Primary Productivity in the Yangtze River Basin under Climate Change Based on a Novel Coupled LUE-RE Model H. Du et al. 10.3390/rs15184489
29. Environment-sensitivity functions for gross primary productivity in light use efficiency models S. Bao et al. 10.1016/j.agrformet.2021.108708
30. Large‐scale estimation and uncertainty analysis of gross primary production in Tibetan alpine grasslands H. He et al. 10.1002/2013JG002449
31. Large-scale estimates of gross primary production on the Qinghai-Tibet plateau based on remote sensing data M. Ma et al. 10.1080/17538947.2017.1381192
32. A Multi-Model Gap-Filling Strategy Increases the Accuracy of GPP Estimation from Periodic Chamber-Based Flux Measurements on Sphagnum-Dominated Peatland M. Albert-Saiz et al. 10.3390/su17020393
33. Evaluation and Comparison of Light Use Efficiency and Gross Primary Productivity Using Three Different Approaches M. Wang et al. 10.3390/rs12061003
34. Comparison of big-leaf and two-leaf light use efficiency models for GPP simulation after considering a radiation scalar X. Guan et al. 10.1016/j.agrformet.2021.108761
35. Vertical distribution of carbon dioxide sources and sinks in a recovering mountain pine beetle-attacked lodgepole pine stand C. Emmel et al. 10.1016/j.agrformet.2014.04.014
36. Estimation of Mangrove Carbon Stocks by Applying Remote Sensing and GIS Techniques V. Patil et al. 10.1007/s13157-015-0660-4
37. A comparison of two photosynthesis parameterization schemes for an alpine meadow site on the Qinghai-Tibetan Plateau X. Wang et al. 10.1007/s00704-015-1611-y