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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. DBLP
  6. DOAJ
  7. Dimensions
  8. EBSCO
  9. Google Scholar
  10. INSPEC
  11. Naver
  12. OCLC WorldCat Discovery Service
  13. Portico
  14. ProQuest
  15. TD Net Discovery Service
  16. Wanfang
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