Spectral Feature Detection
Spectral Feature Detection is a methodological approach in signal and image analysis that identifies distinctive patterns or anomalies within data by examining frequency-domain characteristics derived from spectral transformations.
374
Publications
19.8K
Citations
1.9K
Authors
702
Institutions
Publications per year
2017–2026
120
374
Predicting Network Activity from High Throughput Metabolomics
Shuzhao Li, Youngja Park, Sai Duraisingham et al. · PLoS Computational Biology · 2013 · 970 citations · Full text
Frances Wilkinson, Hugh R. Wilson, Claudine Habak · Vision Research · 1998 · 301 citations
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702

Chinese Academy of Sciences
Beijing, China
13 h-index
40 publications
1.8K citations

Centre National de la Recherche Scientifique
Paris, France
12 h-index
58 publications
6.3K citations
California Institute of Technology
Pasadena, United States
9 h-index
17 publications
1.2K citations
Tsinghua University
Beijing, China
8 h-index
24 publications
1.8K citations
University of Chinese Academy of Sciences
Beijing, China
7 h-index
11 publications
375 citations
Tianjin University
Tianjin, China
6 h-index
16 publications
345 citations
Center for Astrophysics Harvard & Smithsonian
Cambridge, United States
6 h-index
13 publications
1K citations
Arizona State University
Tempe, United States
5 h-index
8 publications
381 citations
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ApJ · 17 publications · 987 citations
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13 publications · 725 citations
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10 publications · 357 citations
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8 publications · 478 citations
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8 publications · 185 citations
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