Unknown Peak Identification
Unknown Peak Identification is a methodological framework within analytical chemistry and signal processing that distinguishes itself by enabling the detection, characterization, and assignment of unattributed spectral or chromatographic peaks through pattern recognition, statistical modeling, or machine learning techniques without prior reference to known compounds.
54
Publications
2.1K
Citations
213
Authors
82
Institutions
Publications per year
2017–2026
7
Parents
54
1–5 of 54
213
2
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2
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1–5 of 213
82
Environmental Protection Agency
Washington, United States
3 h-index
12 publications
470 citations

Okayama University
Okayama, Japan
2 h-index
7 publications
194 citations

University of Rochester
Rochester, United States
1 h-index
1 publications
10 citations
Philips (United Kingdom)
Farnborough, United Kingdom
1 h-index
2 publications
28 citations
University of Siegen
Siegen, Germany
1 h-index
1 publications
15 citations
Institute of Liver and Biliary Sciences
New Delhi, India
1 h-index
2 publications
28 citations
PharmacoGenetics (China)
Hong Kong, China
1 h-index
12 publications
228 citations
Ohio University
Athens, United States
1 h-index
2 publications
60 citations
1–8 of 82
6 publications · 190 citations
6
h-index
4 publications · 122 citations
4
h-index
3 publications · 164 citations
3
h-index
2 publications · 39 citations
2
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2 publications · 90 citations
2
h-index
1–5