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Data Science and Engineering

Publishing model:
Open access

Overview

Data Science and Engineering is a peer-reviewed, open access journal focusing on theoretical background and advanced engineering approaches in data science and engineering.

  • Affiliated with the China Computer Federation (CCF) Technical Committee on Database (CCF TCDB).
  • Provides in-depth coverage of advances in data science and data engineering.
  • An official publication of China Computer Federation (CCF).
  • Operates a double-blind peer-review system for unbiased evaluation.
  • Full APC is required for all articles accepted for publication from 1 July 2025.

 

Editors-in-Chief
  • Bin Cui,
  • Elena Ferrari

Societies and partnerships

Journal metrics

Journal Impact Factor
5.1 (2023)
5-year Journal Impact Factor
3.6 (2023)
Submission to first decision (median)
29 days
Downloads
238.8k (2024)

Latest articles

Journal updates

Journal information

Electronic ISSN
2364-1541
Print ISSN
2364-1185
Abstracted and indexed in
  1. Baidu
  2. CLOCKSS
  3. CNKI
  4. CNPIEC
  5. DBLP
  6. DOAJ
  7. Dimensions
  8. EBSCO
  9. EI Compendex
  10. Emerging Sources Citation Index
  11. Gale
  12. GoOA - The Chinese Academy of Sciences (CAS)
  13. Google Scholar
  14. INSPEC
  15. Japanese Science and Technology Agency (JST)
  16. Naver
  17. Norwegian Register for Scientific Journals and Series
  18. OCLC WorldCat Discovery Service
  19. Portico
  20. ProQuest
  21. SCImago
  22. SCOPUS
  23. TD Net Discovery Service
  24. Wanfang

© China Computer Federation (CCF)

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