Manufacturing Data Analytics

Manufacturing Data Analytics is a systematic computational process that transforms raw manufacturing data into actionable insights through statistical, visualization, and machine learning techniques, distinguishing itself by its specific focus on monitoring, controlling, and optimizing production performance within digital factory environments and manufacturing information systems.

624

Publications

43.1K

Citations

1.9K

Authors

740

Institutions

Publications per year

2017–2026

428

Publications

624

Authors

1.9K

  1. CC
    Chen–Fu Chien

    National Tsing Hua University, Taiwan

    12 publications · 766 citations

    11

    h-index

  2. RY
    Ray Y. Zhong

    University of Hong Kong, Hong Kong SAR China

    9 publications · 815 citations

    9

    h-index

  3. SS
    Seung‐Jun Shin

    National Institute of Standards and Technology, United States

    7 publications · 422 citations

    7

    h-index

  4. SJ
    Sanjay Jain

    George Washington University, United States

    7 publications · 307 citations

    7

    h-index

  5. AK
    Andrew Kusiak

    University of Iowa, United States

    7 publications · 1.2K citations

    7

    h-index

1–5 of 1.9K

Venues

  1. Procedia CIRP

    46 publications · 3.9K citations

    23

    h-index

  2. International Journal of Production Research

    18 publications · 2.5K citations

    17

    h-index

  3. Journal of Intelligent Manufacturing

    21 publications · 1.1K citations

    16

    h-index

  4. Journal of Manufacturing Systems

    15 publications · 962 citations

    15

    h-index

  5. 14

    h-index

1–5