Industrial Data Acquisition

Industrial Data Acquisition is a specialized form of data acquisition that systematically collects, processes, and transmits operational data from industrial environments—such as manufacturing systems, energy plants, and automation infrastructures—using sensor networks, programmable logic controllers, and industrial communication protocols, distinguished by its focus on high reliability, real-time performance, and integration with industrial Internet of Things (IIoT) platforms.

384

Publications

18.2K

Citations

1.2K

Authors

447

Institutions

Publications per year

2017–2026

227

Authors

1.2K

  1. YZ
    Yingfeng Zhang

    Northwestern Polytechnical University, China

    4 publications · 382 citations

    4

    h-index

  2. XX
    Xun Xu

    University of Auckland, New Zealand

    4 publications · 270 citations

    4

    h-index

  3. ZB
    Zhuming Bi

    Indiana University – Purdue University Fort Wayne, United States

    3 publications · 417 citations

    3

    h-index

  4. TB
    Thomas Bauernhansl

    Fraunhofer Institute for Manufacturing Engineering and Automation, Germany

    3 publications · 57 citations

    3

    h-index

  5. LT
    Laurence T. Yang

    St. Francis Xavier University, Canada

    3 publications · 342 citations

    3

    h-index

1–5 of 1.2K

Venues

  1. Procedia CIRP

    15 publications · 1.8K citations

    13

    h-index

  2. IEEE Transactions on Industry Applications

    14 publications · 263 citations

    11

    h-index

  3. IEEE Transactions on Industrial Informatics

    11 publications · 704 citations

    10

    h-index

  4. Procedia Manufacturing

    11 publications · 783 citations

    10

    h-index

  5. Sensors

    8 publications · 235 citations

    8

    h-index

1–5