12 citations as recorded by crossref.

1. A time–scaling property of air pollution indices: a case study of Shanghai, China Z. Liu et al. 10.5094/APR.2015.098
2. Fractal and Long-Memory Traces in PM10 Time Series in Athens, Greece D. Nikolopoulos et al. 10.3390/environments6030029
3. Characterizing the Spatio-Temporal Pattern of Land Surface Temperature through Time Series Clustering: Based on the Latent Pattern and Morphology H. Liu et al. 10.3390/rs10040654
4. Diurnal temperature range trend over North Carolina and the associated mechanisms M. Sayemuzzaman et al. 10.1016/j.atmosres.2015.03.009
5. Trend Analysis of Fragmented Time Series for mHealth Apps: Hypothesis Testing Based Adaptive Spline Filtering Method With Importance Weighting X. Dai & M. Bikdash 10.1109/ACCESS.2017.2696502
6. 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 10.1016/j.atmosres.2018.02.004
7. Rainy/Non-Rainy Day Pattern Analysis for North Carolina A. Islam 10.4236/ajcc.2015.41001
8. Spatio-temporal variational characteristics analysis of heavy metals pollution in water of the typical northern rivers, China H. Lu & S. Yu 10.1016/j.jhydrol.2018.02.081
9. Long-memory traces in $$\hbox {PM}_{10}$$ time series in Athens, Greece: investigation through DFA and R/S analysis D. Nikolopoulos et al. 10.1007/s00703-020-00744-3
10. Climate-informed low-flow frequency analysis using nonstationary modelling D. Liu et al. 10.1002/hyp.10360
11. Time-series clustering – A decade review S. Aghabozorgi et al. 10.1016/j.is.2015.04.007
12. A comparison of principal components using TPCA and nonstationary principal component analysis on daily air-pollutant concentration series C. Shen 10.1016/j.physa.2016.09.014