Peak Features
Peak Features is a time series feature engineering method that characterizes temporal patterns by identifying and quantifying local maxima in a sequence, distinguished by their focus on amplitude, duration, and recurrence of peaks to capture salient dynamic behaviors in the data.
122
Publications
7K
Citations
465
Authors
237
Institutions
Publications per year
2017–2026
23
122
François Farges, Gordon E. Brown, J. J. Rehr · Physical review. B, Condensed matter · 1997 · 624 citations
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237

Chinese Academy of Sciences
Beijing, China
4 h-index
19 publications
1.1K citations
Argonne National Laboratory
Lemont, United States
4 h-index
8 publications
714 citations
University of Oxford
Oxford, United Kingdom
3 h-index
9 publications
302 citations
University of Chicago
Chicago, United States
3 h-index
7 publications
836 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
6 publications
1.4K citations
Purdue University West Lafayette
West Lafayette, United States
2 h-index
5 publications
136 citations
Noble Research Institute
Ardmore, United States
2 h-index
11 publications
500 citations
Institute of Computing Technology
Beijing, China
2 h-index
13 publications
1K citations
1–8 of 237
13 publications · 732 citations
12
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8 publications · 839 citations
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PRB · 6 publications · 769 citations
6
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JCS · 3 publications · 65 citations
3
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PRB · 3 publications · 158 citations
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