Baseline Correction

Baseline Correction is a signal processing technique used to remove systematic shifts or drifts in measured data by adjusting the baseline level, thereby ensuring accurate interpretation and analysis of the true underlying signal across various domains such as biosensing, neurophysiological monitoring, and metabolomics.

418

Publications

26.7K

Citations

1.6K

Authors

668

Institutions

Publications per year

2017–2026

138

Authors

1.6K

  1. PD
    Peter de B. Harrington

    Ohio University, United States

    4 publications · 141 citations

    4

    h-index

  2. PR
    Peter R. Griffiths

    University of Idaho, United States

    4 publications · 117 citations

    4

    h-index

  3. ZZ
    Zhimin Zhang

    Central South University, China

    4 publications · 1.2K citations

    4

    h-index

  4. YL
    Yi‐Zeng Liang

    Central South University, China

    4 publications · 1.2K citations

    4

    h-index

  5. JP
    Jürgen Popp

    Leibniz Institute of Photonic Technology, Germany

    3 publications · 140 citations

    3

    h-index

1–5 of 1.6K

Venues

  1. Applied Spectroscopy

    21 publications · 1.4K citations

    19

    h-index

  2. Analytical Chemistry

    23 publications · 2.2K citations

    19

    h-index

  3. The Analyst

    12 publications · 1.9K citations

    12

    h-index

  4. Bulletin of the Seismological Society of America

    BSSA · 13 publications · 1.6K citations

    12

    h-index

  5. BMC Bioinformatics

    8 publications · 647 citations

    8

    h-index

1–5