Noise Removal

Noise Removal is a text preprocessing technique that identifies and eliminates irrelevant or corrupting elements—such as special characters, HTML tags, or typographical errors—from textual data to improve the quality and consistency of the input for downstream natural language processing tasks.

1.5K

Publications

91.6K

Citations

4.6K

Authors

1.5K

Institutions

Publications per year

2017–2026

630

Authors

4.6K

  1. MK
    Michael K. Ng

    Hong Kong Baptist University, Hong Kong SAR China

    10 publications · 688 citations

    10

    h-index

  2. ZG
    Zhichang Guo

    Institute of Global Environment and Society, United States

    8 publications · 374 citations

    8

    h-index

  3. XZ
    Xi-Le Zhao

    University of Electronic Science and Technology of China, China

    8 publications · 785 citations

    8

    h-index

  4. XF
    Xiangchu Feng

    Xidian University, China

    8 publications · 735 citations

    8

    h-index

  5. TH
    Ting‐Zhu Huang

    University of Electronic Science and Technology of China, China

    8 publications · 766 citations

    8

    h-index

1–5 of 4.6K

Venues

  1. IEEE Transactions on Image Processing

    51 publications · 12.1K citations

    38

    h-index

  2. 28

    h-index

  3. IEEE Access

    30 publications · 1.8K citations

    26

    h-index

  4. Sensors

    20 publications · 598 citations

    16

    h-index

  5. Procedia Computer Science

    17 publications · 679 citations

    15

    h-index

1–5