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Industrial Artificial Intelligence
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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.

 

Editor-in-Chief
  • Dianhui Wang PhD
Honorary Editor-in-Chief
  • Tianyou Chai PhD
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Journal metrics

Submission to first decision (median)
20 days
Downloads
29.2k (2025)

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Latest articles

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Journal information

Electronic ISSN
2731-667X
Abstracted and indexed in
  1. Baidu
  2. CLOCKSS
  3. CNKI
  4. CNPIEC
  5. Chinese Academy of Medical Science (CAMS)
  6. DBLP
  7. DOAJ
  8. Dimensions
  9. EBSCO
  10. Google Scholar
  11. INSPEC
  12. Japanese Science and Technology Agency (JST)
  13. Naver
  14. OCLC WorldCat Discovery Service
  15. Ovid Discovery
  16. Portico
  17. ProQuest
  18. TD Net Discovery Service
  19. Wanfang
  20. eLibrary.ru
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