Wavelet-based Seasonality Analysis
Wavelet-Based Seasonality Analysis is a time-series decomposition method that identifies and characterizes seasonal patterns through wavelet transforms, distinguishing itself from classical Fourier-based approaches by enabling localized, multi-resolution analysis of non-stationary seasonal fluctuations.
34
Publications
1.5K
Citations
124
Authors
58
Institutions
Publications per year
2017–2026
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Chinese Academy of Sciences
Beijing, China
2 h-index
3 publications
98 citations
Columbia University
New York, United States
2 h-index
6 publications
192 citations
Texas A&M University
College Station, United States
2 h-index
3 publications
108 citations

University of Alberta
Edmonton, Canada
2 h-index
4 publications
114 citations
National Cheng Kung University
Tainan City, Taiwan
2 h-index
3 publications
84 citations

Istanbul Technical University
Istanbul, Türkiye
2 h-index
3 publications
189 citations

Université de Montpellier
Montpellier, France
1 h-index
1 publications
66 citations

King Abdulaziz University
Jeddah, Saudi Arabia
1 h-index
1 publications
34 citations
1–8 of 58
2 publications · 57 citations
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JGR · 2 publications · 49 citations
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1 publications · 38 citations
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1 publications · 34 citations
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Repository · 1 publications · 63 citations
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