31 citations as recorded by crossref.

1. Intrinsic vs. spurious long-range memory in high-frequency records of environmental radioactivity R. Donner et al. https://doi.org/10.1140/epjst/e2015-02404-1
2. A gap-filling algorithm selection strategy for GRACE and GRACE Follow-On time series based on hydrological signal characteristics of the individual river basins H. Karimi et al. https://doi.org/10.1515/jogs-2022-0129
3. Predicting Missing Values in Spatio-Temporal Remote Sensing Data F. Gerber et al. https://doi.org/10.1109/TGRS.2017.2785240
4. Weight Optimization for missing data prediction of Landslide Susceptibility Mapping in Remote sensing Analysis K. S et al. https://doi.org/10.53759/7669/jmc202404043
5. Finding a needle by removing the haystack: A spatio-temporal normalization method for geophysical data E. Pavlidou et al. https://doi.org/10.1016/j.cageo.2016.02.016
6. Using Near-Infrared-Enabled Digital Repeat Photography to Track Structural and Physiological Phenology in Mediterranean Tree–Grass Ecosystems Y. Luo et al. https://doi.org/10.3390/rs10081293
7. Timescale effects on the environmental control of carbon and water fluxes of an apple orchard L. Montagnani et al. https://doi.org/10.1002/ece3.3633
8. Spatio-Temporal Missing Data Imputation: A Systematic Literature Review with a Focus on Statistical and Machine Learning-Based Approaches S. Zahmatkesh & P. Zech https://doi.org/10.1145/3797903
9. Comparison of Cloud-Filling Algorithms for Marine Satellite Data A. Stock et al. https://doi.org/10.3390/rs12203313
10. Potential and limitations of inferring ecosystem photosynthetic capacity from leaf functional traits T. Musavi et al. https://doi.org/10.1002/ece3.2479
11. A novel bias correction methodology for climate impact simulations S. Sippel et al. https://doi.org/10.5194/esd-7-71-2016
12. CLIMFILL v0.9: a framework for intelligently gap filling Earth observations V. Bessenbacher et al. https://doi.org/10.5194/gmd-15-4569-2022
13. Altered seasonal sensitivity of net ecosystem exchange to controls driven by nutrient balances in a semi-arid savanna L. Nadolski et al. https://doi.org/10.5194/bg-22-2935-2025
14. Soil respiration sensitivity to temperature in biocrusted soils in a desert-shrubland ecosystem P. Liu et al. https://doi.org/10.1016/j.catena.2020.104556
15. Extracting Geoscientific Dataset Names from the Literature Based on the Hierarchical Temporal Memory Model K. Wu et al. https://doi.org/10.3390/ijgi13070260
16. Recurrence‐Based Quantification of Dynamical Complexity in the Earth's Magnetosphere at Geospace Storm Timescales R. Donner et al. https://doi.org/10.1029/2018JA025318
17. Advanced Graph–Physics Hybrid Framework (AGPHF) for Holistic Integration of AI-Driven Graph- and Physics- Methodologies to Promote Resilient Wastewater Management in Dynamic Real-World Conditions V. Alevizos et al. https://doi.org/10.3390/app15189905
18. Reconstruction of groundwater levels to impute missing values using singular and multichannel spectrum analysis: application to the Ardabil Plain, Iran M. Taie Semiromi & M. Koch https://doi.org/10.1080/02626667.2019.1669793
19. The operational method of filling information gaps in satellite imagery using numerical models M. Konik et al. https://doi.org/10.1016/j.jag.2018.09.002
20. PATCH-FILL: Multiscale Gap Filling for Earth System Data Cubes C. Zimmer et al. https://doi.org/10.1109/TGRS.2025.3593051
21. Performance of Singular Spectrum Analysis in Separating Seasonal and Fast Physiological Dynamics of Solar‐Induced Chlorophyll Fluorescence and PRI Optical Signals K. Biriukova et al. https://doi.org/10.1029/2020JG006158
22. Reconstruction of Zonal Precipitation From Sparse Historical Observations Using Climate Model Information and Statistical Learning M. Egli et al. https://doi.org/10.1029/2022GL099826
23. Leveraging Transfer Learning and U-Nets Method for Improved Gap Filling in Himawari Sea Surface Temperature Data Adjacent to Taiwan D. Putra & P. Hsu https://doi.org/10.3390/ijgi13050162
24. Bioregionalization of the subarctic Pacific based on phytoplankton phenology and composition M. Konik et al. https://doi.org/10.1016/j.pocean.2024.103315
25. Reverse engineering model structures for soil and ecosystem respiration: the potential of gene expression programming I. Ilie et al. https://doi.org/10.5194/gmd-10-3519-2017
26. Combining machine learning, space-time cloud restoration and phenology for farm-level wheat yield prediction A. Tesfaye et al. https://doi.org/10.1016/j.aiia.2021.10.002
27. Technical note: A view from space on global flux towers by MODIS and Landsat: the FluxnetEO data set S. Walther et al. https://doi.org/10.5194/bg-19-2805-2022
28. Gap Filling of Precipitation Data by SSA - Singular Spectrum Analysis A. Filho & G. Lima https://doi.org/10.1088/1742-6596/759/1/012085
29. Nonlinear analysis of groundwater levels: investigating trends and the impact of El Niño on groundwater drought in a southern region of India K. Poojitha & B. Dodamani https://doi.org/10.1007/s11600-025-01582-w
30. Quantifying changes in climate variability and extremes: Pitfalls and their overcoming S. Sippel et al. https://doi.org/10.1002/2015GL066307
31. Multispectral high resolution sensor fusion for smoothing and gap-filling in the cloud Á. Moreno-Martínez et al. https://doi.org/10.1016/j.rse.2020.111901