17 citations as recorded by crossref.

1. Application of time-series analysis to urban climate change assessment H. Liu et al. https://doi.org/10.1007/s13762-024-05961-6
2. A time–scaling property of air pollution indices: a case study of Shanghai, China Z. Liu et al. https://doi.org/10.5094/APR.2015.098
3. Fractal and Long-Memory Traces in PM10 Time Series in Athens, Greece D. Nikolopoulos et al. https://doi.org/10.3390/environments6030029
4. Characterizing the Spatio-Temporal Pattern of Land Surface Temperature through Time Series Clustering: Based on the Latent Pattern and Morphology H. Liu et al. https://doi.org/10.3390/rs10040654
5. Diurnal temperature range trend over North Carolina and the associated mechanisms S. Zaman et al. https://doi.org/10.1016/j.atmosres.2015.03.009
6. Trend Analysis of Fragmented Time Series for mHealth Apps: Hypothesis Testing Based Adaptive Spline Filtering Method With Importance Weighting X. Dai & M. Bikdash https://doi.org/10.1109/ACCESS.2017.2696502
7. Recurrence quantification analysis of extremes of maximum and minimum temperature patterns for different climate scenarios in the Mesochora catchment in Central-Western Greece D. Panagoulia & E. Vlahogianni https://doi.org/10.1016/j.atmosres.2018.02.004
8. Rainy/Non-Rainy Day Pattern Analysis for North Carolina A. Islam https://doi.org/10.4236/ajcc.2015.41001
9. Unraveling Meteorological Dynamics: A Two-Level Clustering Algorithm for Time Series Pattern Recognition with Missing Data Handling E. Skamnia et al. https://doi.org/10.3390/stats8020036
10. Spatial and Temporal Variation of Annual and Categorized Precipitation in the Han River Basin, South Korea S. Shah et al. https://doi.org/10.1007/s12205-022-1194-y
11. EEG-based clusters differentiate psychological distress, sleep quality and cognitive function in adolescents O. Forbes et al. https://doi.org/10.1016/j.biopsycho.2022.108403
12. Spatio-temporal variational characteristics analysis of heavy metals pollution in water of the typical northern rivers, China H. Lu & S. Yu https://doi.org/10.1016/j.jhydrol.2018.02.081
13. Long-memory traces in $$\hbox {PM}_{10}$$ time series in Athens, Greece: investigation through DFA and R/S analysis D. Nikolopoulos et al. https://doi.org/10.1007/s00703-020-00744-3
14. Multifractal Patterns in 17-Year PM10 Time Series in Athens, Greece D. Nikolopoulos et al. https://doi.org/10.3390/environments10010009
15. Climate‐informed low‐flow frequency analysis using nonstationary modelling D. Liu et al. https://doi.org/10.1002/hyp.10360
16. Time-series clustering – A decade review S. Aghabozorgi et al. https://doi.org/10.1016/j.is.2015.04.007
17. A comparison of principal components using TPCA and nonstationary principal component analysis on daily air-pollutant concentration series C. Shen https://doi.org/10.1016/j.physa.2016.09.014