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

Authors

213

  1. AK
    Anne Kuhn

    Environmental Protection Agency, United States

    2 publications · 90 citations

    2

    h-index

  2. YW
    Yoko Watanabe

    Okayama University, Japan

    2 publications · 52 citations

    2

    h-index

  3. RA
    Richard A. McKinney

    Environmental Protection Agency, United States

    2 publications · 90 citations

    2

    h-index

  4. MC
    Marguerite C. Pelletier

    Environmental Protection Agency, United States

    2 publications · 90 citations

    2

    h-index

  5. RM
    Robert M. Burgess

    Environmental Protection Agency, United States

    2 publications · 90 citations

    2

    h-index

1–5 of 213

Venues

  1. Journal of Chromatography A

    6 publications · 190 citations

    6

    h-index

  2. Analytica Chimica Acta

    4 publications · 122 citations

    4

    h-index

  3. Analytical Chemistry

    3 publications · 164 citations

    3

    h-index

  4. Molecules

    2 publications · 39 citations

    2

    h-index

  5. Environmental Toxicology and Chemistry

    2 publications · 90 citations

    2

    h-index

1–5