Machine Intelligence Research (original title: International Journal of Automation and Computing) is published by Springer and sponsored by the Institute of Automation, Chinese Academy of Sciences. The journal publishes high-quality papers on original theoretical and experimental research, targets special issues on emerging topics, and strives to bridge the gap between theoretical research and practical applications.
With its extensive scope, Machine Intelligence Research addresses such topics as
● AI Fundamentals
● Brain-Inspired Intelligence
● Pattern Recognition & Machine Learning
● Machine Vision
● Speech and Language Processing
● Robotics
● Knowledge Discovery & Data Mining
● Applications of Machine Intelligence

We welcome reviews, research articles, perspectives and correspondences concerning the above topics.

  • High-quality articles with a strong focus on new trends
  • Quality peer-review service
  • Rapid online publication
  • Free language editing
  • Wide exposure to a large global audience

Journal information

  • Tieniu Tan
Publishing model
Hybrid (Transformative Journal). How to publish with us, including Open Access

Journal metrics

110,732 (2021)

Latest issue

Volume 19

Issue 5, October 2022

Special Issue on Brain-inspired Machine Learning

Latest articles

This journal has 62 open access articles

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Abstracted and indexed in
  1. ACM Digital Library
  2. BFI List
  3. Baidu
  5. CNKI
  7. DBLP
  8. Dimensions
  9. EBSCO Discovery Service
  10. EI Compendex
  11. Emerging Sources Citation Index
  12. Google Scholar
  13. INSPEC
  14. Naver
  15. OCLC WorldCat Discovery Service
  16. Portico
  17. ProQuest Advanced Technologies & Aerospace Database
  18. ProQuest-ExLibris Primo
  19. ProQuest-ExLibris Summon
  20. SCImago
  21. SCOPUS
  22. TD Net Discovery Service
  23. UGC-CARE List (India)
  24. WTI AG
  25. Wanfang
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