CFPs (confs, journals)

Indices:

• • EI Compendex ( list )

  • Scopus - SJR Journal Ranking

  • Web of Science  -  JCR Journal Ranking

  • SCIE ( list )

  • iCORE Conference Ranking

  • CCF Recommended List 

  • DBLP

Conferences: 

1. IEEE Conference Search

2. ACM Conference Search

---------------

Journals: 

Journals on Education/AI

1. IEEE Transactions on Learning Technologies (TLT)

2. IEEE Transactions on Human-Machine Systems

3. IEEE Transactions on Education

4. ACM Transactions on Computing Education (TOCE)

5. International Journal of Artificial Intelligence in Education (IJAIED)

6. Journal of Educational Computing Research 

7. ...

Journals on Cloud Computing

1. IEEE Cloud Computing

2. IEEE Internet of Things Journal

3. IEEE tran service computing

4. IEEE tran cloud computing

5. IEEE tran mobile computing

6. J of cloud computing (SCIE)

7. Inter J of cloud computing (Scopus)

Easy Journals:

1. International Journal on Artificial Intelligence Tools 

2. Neuralcomputing

3. Computational Intelligence

4. Applications of Computational Intelligence

5. Computer Science Review

6. Expert Systems With Applications

7. Knowledge-Based Systems

8. Computers in Industry

9. Journal of Computing Sciences in Colleges

Tips for Submission

1. Align with journal scope: Make sure your introduction clearly links “cloud AI in education” to the mission of your chosen journal (adaptive learning, analytics, intelligent systems, etc.).

2. Highlight novelty: Emphasize your taxonomy (i.e., how you categorize cloud AI applications), your survey method, and the emerging trends you identify — this differentiates it from simpler literature reviews.

3. Use recent literature: Include very recent papers (2023–2025) to show that your review is up-to-date with the fast-evolving cloud AI and generative AI space.

4. Consider a special issue: Check if TLT, IJAIED, or TOCE have upcoming special issues on AI, cloud computing, or learning analytics — this could increase your chances.

5. Methodology transparency: For the taxonomy, clearly explain how you built it (what criteria, how many papers listened, coding process), and justify your research-trend analysis method (e.g., bibliometrics, content analysis).