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Overview

Industrial Artificial Intelligence is a peer-reviewed, open access journal that highlights the development of AI techniques in improving industrial processes.

  • Publishes research on AI techniques that optimize solutions to modern industrial practices.
  • Advocates real-world industrial applications, addressing issues in industrial data modelling, control, and optimization.
  • Promotes advanced machine learning techniques for industrial process intelligent sensing and industrial data modelling.
  • Affiliated with the China University of Mining and Technology.

Main Editor
  • Dianhui Wang,
  • Witold Pedrycz,
  • Tianyou Chai
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11,657 (2023)

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Electronic ISSN
2731-667X
Abstracted and indexed in
  1. Baidu
  2. CLOCKSS
  3. CNKI
  4. CNPIEC
  5. DOAJ
  6. Dimensions
  7. EBSCO
  8. Google Scholar
  9. INSPEC
  10. Naver
  11. OCLC WorldCat Discovery Service
  12. Portico
  13. ProQuest
  14. TD Net Discovery Service
  15. Wanfang
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