304 citations as recorded by crossref.

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19. The influence of atmospheric intraseasonal oscillations on terrestrial biospheric CO2 fluxes in Southeast China Forest J. Li et al. 10.1007/s00382-021-05702-2
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22. An exploration of solar-induced chlorophyll fluorescence (SIF) factors simulated by SCOPE for capturing GPP across vegetation types S. Yang et al. 10.1016/j.ecolmodel.2022.110079
23. Substantial Reduction in Vegetation Photosynthesis Capacity during Compound Droughts in the Three-River Headwaters Region, China J. Miao et al. 10.3390/rs15204943
24. Quantifying the altitudinal response of water yield capacity to climate change in an alpine basin on the Tibetan Plateau through integrating the WRF-Hydro and Budyko framework L. Tian et al. 10.1016/j.catena.2024.108087
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26. A Geographically Random Machine Learning Model for GOME-2 Global Seamless Sun-Induced Chlorophyll Fluorescence Downscaling Products With High Spatiotemporal Resolution S. He et al. 10.1109/TGRS.2025.3552678
27. Review of Top-of-Canopy Sun-Induced Fluorescence (SIF) Studies from Ground, UAV, Airborne to Spaceborne Observations S. Bandopadhyay et al. 10.3390/s20041144
28. A Spatially Downscaled TROPOMI SIF Product at 0.005° Resolution With Bias Correction J. Hu et al. 10.1109/JSTARS.2024.3433371
29. Untangling the importance of dynamic and thermodynamic drivers for wet and dry spells across the Tropical Andes C. Klein et al. 10.1088/1748-9326/acb72b
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34. Spring and autumn phenology across the Tibetan Plateau inferred from normalized difference vegetation index and solar-induced chlorophyll fluorescence F. Meng et al. 10.1080/20964471.2021.1920661
35. An empirical model for estimating daily atmospheric column-averaged CO2 concentration above São Paulo state, Brazil L. da Costa et al. 10.1186/s13021-022-00209-7
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37. Exploring the Best-Matching Plant Traits and Environmental Factors for Vegetation Indices in Estimates of Global Gross Primary Productivity W. Zhao & Z. Zhu 10.3390/rs14246316
38. Decreased Sensitivity of Grassland Spring Phenology to Temperature on the Tibetan Plateau Z. Chen et al. 10.1109/JSTARS.2023.3269908
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41. Matching Satellite Sun-Induced Chlorophyll Fluorescence to Flux Footprints Improves Its Relationship with Gross Primary Productivity L. Zhao et al. 10.3390/rs16132388
42. Solar-Induced Chlorophyll Fluorescence (SIF): Towards a Better Understanding of Vegetation Dynamics and Carbon Uptake in Arctic-Boreal Ecosystems R. Cheng 10.1007/s40641-024-00194-8
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44. Hybrid Machine Learning and Geostatistical Methods for Gap Filling and Predicting Solar-Induced Fluorescence Values J. Tadić et al. 10.3390/rs16101707
45. Global L-band equivalent AI-based vegetation optical depth dataset O. Skulovich et al. 10.1038/s41597-024-03810-2
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55. Synergistic use of SMAP and OCO-2 data in assessing the responses of ecosystem productivity to the 2018 U.S. drought X. Li et al. 10.1016/j.rse.2020.112062
56. Downscaling Solar-Induced Chlorophyll Fluorescence to a 0.05° Monthly Product Using AVHRR Data in East Asia (1995–2003) Y. Jin et al. 10.1109/JSTARS.2024.3369332
57. Advancing the Classification and Attribution Method for Alpine Wetlands: A Case Study of the Source Region of Three Rivers, Tibetan Plateau X. Zheng et al. 10.3390/rs17010097
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59. Extraction of sub-pixel C3/C4 emissions of solar-induced chlorophyll fluorescence (SIF) using artificial neural network O. Kira & Y. Sun 10.1016/j.isprsjprs.2020.01.017
60. Using atmospheric observations to quantify annual biogenic carbon dioxide fluxes on the Alaska North Slope L. Schiferl et al. 10.5194/bg-19-5953-2022
61. Maize yield estimation in Northeast China’s black soil region using a deep learning model with attention mechanism and remote sensing X. Li et al. 10.1038/s41598-025-97563-6
62. Land cover and latitude affect vegetation phenology determined from solar induced fluorescence across Ontario, Canada C. Rogers & J. Chen 10.1016/j.jag.2022.103036
63. Water deficit and storm disturbances co-regulate Amazon rainforest seasonality X. Lian et al. 10.1126/sciadv.adk5861
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66. Coupling GEDI LiDAR and Optical Satellite for Revealing Large‐Scale Maize Lodging in Northeast China Q. Zhang et al. 10.1029/2023EF003590
67. A long-term reconstruction of a global photosynthesis proxy over 1982–2023 J. Fang et al. 10.1038/s41597-025-04686-6
68. Tracking Seasonal and Interannual Variability in Photosynthetic Downregulation in Response to Water Stress at a Temperate Deciduous Forest L. He et al. 10.1029/2018JG005002
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77. Satellite Monitoring of Natural Reforestation Efforts in China's Drylands C. Gerlein-Safdi et al. 10.1016/j.oneear.2019.12.015
78. Satellite-based reflectances capture large fraction of variability in global gross primary production (GPP) at weekly time scales J. Joiner & Y. Yoshida 10.1016/j.agrformet.2020.108092
79. Monitoring drought impacts on crop productivity of the U.S. Midwest with solar-induced fluorescence: GOSIF outperforms GOME-2 SIF and MODIS NDVI, EVI, and NIRv R. Qiu et al. 10.1016/j.agrformet.2022.109038
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83. Atmospheric dryness reduces photosynthesis along a large range of soil water deficits Z. Fu et al. 10.1038/s41467-022-28652-7
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90. The Ability of Sun-Induced Chlorophyll Fluorescence From OCO-2 and MODIS-EVI to Monitor Spatial Variations of Soybean and Maize Yields in the Midwestern USA Y. Gao et al. 10.3390/rs12071111
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