31 citations as recorded by crossref.

1. Weighted multichannel singular spectrum analysis for post-processing GRACE monthly gravity field models by considering the formal errors Y. Shen et al. 10.1093/gji/ggab199
2. A Comprehensive Survey on Imputation of Missing Data in Internet of Things D. Adhikari et al. 10.1145/3533381
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6. Bridging the gap between GRACE and GRACE follow-on monthly gravity field solutions using improved multichannel singular spectrum analysis F. Wang et al. 10.1016/j.jhydrol.2021.125972
7. Seasonal driving sources and hydrological-induced secular trend of the vertical displacement in North China T. Feng et al. 10.1016/j.ejrh.2022.101091
8. Reconstruction of Water Infiltration Rate Reducibility in Response to Suspended Solid Characteristics Using Singular Spectrum Analysis: An Application to the Caspian Sea Coast of Nur, Iran M. Taie Semiromi & D. Ghasemian 10.3390/hydrology5040059
9. On the application of Monte Carlo singular spectrum analysis to GPS position time series S. Khazraei & A. Amiri-Simkooei 10.1007/s00190-019-01253-x
10. Reconstruction of gappy GPS coordinate time series using empirical orthogonal functions C. Xu 10.1002/2016JB013188
11. Model Agnostic Time Series Analysis via Matrix Estimation A. Agarwal et al. 10.1145/3287319
12. Inter‐model Comparison of Turbidity‐Discharge Rating Curves and the Implications for Reservoir Operations Management K. Wang et al. 10.1111/1752-1688.12906
13. Geophysical Signal Detection in the Earth’s Oblateness Variation and Its Climate-Driven Source Analysis H. Yu et al. 10.3390/rs13102004
14. Missing value imputation in time series using Singular Spectrum Analysis R. Mahmoudvand & P. Rodrigues 10.1142/S2335680416500058
15. An Improved Principal Component Analysis Method for the Interpolation of Missing Data in GNSS-Derived PWV Time Series D. Zhu et al. 10.3390/rs15215153
16. 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 10.1080/02626667.2019.1669793
17. Analyzing Error Bounds for Seasonal-Trend Decomposition of Antarctica Temperature Time Series Involving Missing Data C. Kwok et al. 10.3390/atmos14020193
18. A heuristic singular spectrum analysis method for suspended sediment concentration time series contaminated with multiplicative noise F. Wang et al. 10.1007/s40328-019-00269-1
19. Data Adaptive Analysis on Vertical Surface Deformation Derived from Daily ITSG-Grace2018 Model W. Li 10.3390/s20164477
20. Independent Component Extraction from the Incomplete Coordinate Time Series of Regional GNSS Networks T. Feng et al. 10.3390/s21051569
21. Extended singular spectrum analysis for processing incomplete heterogeneous geodetic time series K. Ji et al. 10.1007/s00190-023-01764-8
22. Multichannel Singular Spectrum Analysis in the Estimates of Common Environmental Effects Affecting GPS Observations M. Gruszczynska et al. 10.1007/s00024-018-1814-0
23. Singular Spectrum Analysis With Conditional Predictions for Real‐Time State Estimation and Forecasting H. Ogrosky et al. 10.1029/2018GL081100
24. Singular spectrum analysis for heterogeneous time series by taking its formal errors into account F. Wang 10.13168/AGG.2018.0029
25. Improved multichannel singular spectrum analysis for post-processing GRACE monthly gravity field models F. Wang et al. 10.1093/gji/ggaa339
26. An Adaptive Regularized Solution to Inverse Ill-Posed Models K. Ji et al. 10.1109/TGRS.2022.3205572
27. Extended Principal Component Analysis for Spatiotemporal Filtering of Incomplete Heterogeneous GNSS Position Time Series K. Ji et al. 10.1109/TGRS.2023.3277460
28. Brain–Computer Interface: The HOL–SSA Decomposition and Two-Phase Classification on the HGD EEG Data M. Antony et al. 10.3390/diagnostics13172852
29. Estimates of Vertical Velocity Errors for IGS ITRF2014 Stations by Applying the Improved Singular Spectrum Analysis Method and Environmental Loading Models A. Klos et al. 10.1007/s00024-017-1494-1
30. A method based on MTLS and ILSP for GNSS coordinate time series analysis with missing data Y. Ren et al. 10.1016/j.asr.2021.06.037
31. An Improved DINEOF Algorithm Based on Optimized Validation Points Selection Method Z. Yang et al. 10.3390/w15030392