Local Outlier Factor

Local Outlier Factor is a density-based outlier detection method that identifies anomalies by comparing the local density of a data point to the local densities of its neighbors, assigning higher anomaly scores to points with significantly lower relative density.

268

Publications

20.8K

Citations

977

Authors

392

Institutions

Publications per year

2017–2026

201

Authors

977

  1. HS
    Hongbo Shi

    East China University of Science and Technology, China

    6 publications · 301 citations

    6

    h-index

  2. CL
    Chang‐Yong Lee

    Ulsan National Institute of Science and Technology, South Korea

    4 publications · 140 citations

    4

    h-index

  3. MA
    Muhammad Ali Imran

    University of Glasgow, United Kingdom

    5 publications · 255 citations

    4

    h-index

  4. EA
    Elke A. Rundensteiner

    Worcester Polytechnic Institute, United States

    4 publications · 113 citations

    4

    h-index

  5. HY
    Henry Y. T. Ngan

    University of Hong Kong, Hong Kong SAR China

    3 publications · 76 citations

    3

    h-index

1–5 of 977

Venues

  1. IEEE Access

    15 publications · 584 citations

    15

    h-index

  2. Sensors

    14 publications · 480 citations

    14

    h-index

  3. Remote Sensing

    4 publications · 68 citations

    4

    h-index

  4. IEEE Geoscience and Remote Sensing Letters

    GRSL · 4 publications · 139 citations

    4

    h-index

  5. IEEE Transactions on Industrial Electronics

    4 publications · 252 citations

    4

    h-index

1–5