212 citations as recorded by crossref.

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4. Using Satellite-Derived Vegetation Products to Evaluate LDAS-Monde over the Euro-Mediterranean Area D. Leroux et al. https://doi.org/10.3390/rs10081199
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6. Contrasting Regional Carbon Cycle Responses to Seasonal Climate Anomalies Across the East‐West Divide of Temperate North America B. Byrne et al. https://doi.org/10.1029/2020GB006598
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17. Characteristics of Solar-Induced Chlorophyll Fluorescence in the Three River Headwaters Region, Qinghai-Tibetan Plateau during 2001 to 2020 J. Miao et al. https://doi.org/10.3390/su151914177
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22. Do all chlorophyll fluorescence emission wavelengths capture the spring recovery of photosynthesis in boreal evergreen foliage? C. Zhang et al. https://doi.org/10.1111/pce.13620
23. Identifying Crop Growth Stages from Solar-Induced Chlorophyll Fluorescence Data in Maize and Winter Wheat from Ground and Satellite Measurements Y. Hou et al. https://doi.org/10.3390/rs15245689
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27. Monitoring of Wheat Stripe Rust Using Red SIF Modified by Pseudokurtosis X. Jing et al. https://doi.org/10.3390/agronomy14081698
28. Potential of solar-induced chlorophyll fluorescence to estimate transpiration in a temperate forest X. Lu et al. https://doi.org/10.1016/j.agrformet.2018.01.017
29. Estimation of Chlorophyll Fluorescence at Different Scales: A Review Z. Ni et al. https://doi.org/10.3390/s19133000
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48. From remotely‐sensed solar‐induced chlorophyll fluorescence to ecosystem structure, function, and service: Part II—Harnessing data Y. Sun et al. https://doi.org/10.1111/gcb.16646
49. Satellite Monitoring of Natural Reforestation Efforts in China's Drylands C. Gerlein-Safdi et al. https://doi.org/10.1016/j.oneear.2019.12.015
50. Satellite Ocean Colour: Current Status and Future Perspective S. Groom et al. https://doi.org/10.3389/fmars.2019.00485
51. Remote sensing of terrestrial gross primary productivity: a review of advances in theoretical foundation, key parameters and methods W. Zhu et al. https://doi.org/10.1080/15481603.2024.2318846
52. Monitoring and Assessment of Agricultural Drought Based on Solar-Induced Chlorophyll Fluorescence During Growing Season in North China Plain Z. Zhang et al. https://doi.org/10.1109/JSTARS.2020.3032414
53. A Spectral Fitting Algorithm to Retrieve the Fluorescence Spectrum from Canopy Radiance S. Cogliati et al. https://doi.org/10.3390/rs11161840
54. Ground‐Based Multiangle Solar‐Induced Chlorophyll Fluorescence Observation and Angular Normalization for Assessing Crop Productivity Q. Zhang et al. https://doi.org/10.1029/2020JG006082
55. Data assimilation for continuous global assessment of severe conditions over terrestrial surfaces C. Albergel et al. https://doi.org/10.5194/hess-24-4291-2020
56. Phenotyping Plant Responses to Biotic Stress by Chlorophyll Fluorescence Imaging M. Pérez-Bueno et al. https://doi.org/10.3389/fpls.2019.01135
57. TanSat-2: a new satellite for mapping solar-induced chlorophyll fluorescence at both red and far-red bands with high spatiotemporal resolution D. Zhao et al. https://doi.org/10.5194/amt-18-3647-2025
58. A global spatially contiguous solar-induced fluorescence (CSIF) dataset using neural networks Y. Zhang et al. https://doi.org/10.5194/bg-15-5779-2018
59. The Solar-Induced Chlorophyll Fluorescence Imaging Spectrometer (SIFIS) Onboard the First Terrestrial Ecosystem Carbon Inventory Satellite (TECIS-1): Specifications and Prospects S. Du et al. https://doi.org/10.3390/s20030815
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62. Comparison of Spring Phenology from Solar-Induced Chlorophyll Fluorescence, Vegetation Index, and Ground Observations in Boreal Forests D. Shi et al. https://doi.org/10.3390/rs17040627
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65. Pressure and temperature dependencies of air-perturbed O2 B-band line shapes K. Bielska et al. https://doi.org/10.1016/j.saa.2023.123185
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67. Improving GOME-2C red solar-induced chlorophyll fluorescence retrieval by denoising on radiance spectra Y. Du et al. https://doi.org/10.1080/15481603.2026.2705665
68. Satellite Observations of the Contrasting Response of Trees and Grasses to Variations in Water Availability S. Walther et al. https://doi.org/10.1029/2018GL080535
69. Evaluating GPP and Respiration Estimates Over Northern Midlatitude Ecosystems Using Solar‐Induced Fluorescence and Atmospheric CO2 Measurements B. Byrne et al. https://doi.org/10.1029/2018JG004472
70. Differences Between OCO‐2 and GOME‐2 SIF Products From a Model‐Data Fusion Perspective C. Bacour et al. https://doi.org/10.1029/2018JG004938
71. Bidirectional drought‐related canopy dynamics across pantropical forests: a satellite‐based statistical analysis L. Liu et al. https://doi.org/10.1002/rse2.229
72. Systematic Orbital Geometry-Dependent Variations in Satellite Solar-Induced Fluorescence (SIF) Retrievals J. Joiner et al. https://doi.org/10.3390/rs12152346
73. Red solar-induced chlorophyll fluorescence as a robust proxy for ecosystem-level photosynthesis in a rice field K. Buareal et al. https://doi.org/10.1016/j.agrformet.2023.109473
74. Changes in timing of seasonal peak photosynthetic activity in northern ecosystems T. Park et al. https://doi.org/10.1111/gcb.14638
75. Sun-Induced Chlorophyll Fluorescence II: Review of Passive Measurement Setups, Protocols, and Their Application at the Leaf to Canopy Level H. Aasen et al. https://doi.org/10.3390/rs11080927
76. A Mechanistic Model for the NIR SIF Escape Ratio Considering Interactions Between Soil and Canopy M. Qi et al. https://doi.org/10.1109/TGRS.2025.3601233
77. A New Method for Winter Wheat Mapping Based on Spectral Reconstruction Technology S. Li et al. https://doi.org/10.3390/rs13091810
78. A Deep Learning Model Combining CNN and Transformer for Rice Yield Estimation at County and Pixel Scales in Northeast China L. Liu et al. https://doi.org/10.1109/JSTARS.2026.3680496
79. Chlorophyll Fluorescence Data Reveals Climate-Related Photosynthesis Seasonality in Amazonian Forests G. Bertani et al. https://doi.org/10.3390/rs9121275
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81. A double peak in the seasonality of California's photosynthesis as observed from space A. Turner et al. https://doi.org/10.5194/bg-17-405-2020
82. Leveraging TROPOMI red solar-induced chlorophyll fluorescence for enhanced detection of harmful algal blooms in turbid coastal waters J. Hu et al. https://doi.org/10.1016/j.marpolbul.2026.119854
83. Coupling sun-induced chlorophyll fluorescence (SIF) with soil-plant-atmosphere research (SPAR) chambers to advance applications of SIF for crop stress research C. Chang et al. https://doi.org/10.1016/j.rse.2024.114462
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87. Improving the Gross Primary Productivity Estimate by Simulating the Maximum Carboxylation Rate of the Crop Using Machine Learning Algorithms D. Yuan et al. https://doi.org/10.1109/TGRS.2022.3200988
88. The impact of the 2015/2016 El Niño on global photosynthesis using satellite remote sensing X. Luo et al. https://doi.org/10.1098/rstb.2017.0409
89. Adjustments to SIF Aid the Interpretation of Drought Responses at the Caatinga of Northeast Brazil E. Bontempo et al. https://doi.org/10.3390/rs12193264
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92. Aging and stress explain the earlier start of leaf senescence in trees in warmer years: translating the latest findings on senescence regulation into the DP3 model (v1.1) M. Meier et al. https://doi.org/10.5194/gmd-18-6963-2025
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