Neural Computing and Applications (NCAA) is a high-impact, Q1-ranked Springer journal with a current impact factor of approximately 4.5. Data from the LetPub Journal Search indicates that while the average peer-review speed is about 9 months, papers professionally edited through LetPub Services often see a 40% reduction in review time and a significantly higher acceptance rate.

Submitting to a Q1 journal requires a clear understanding of the editorial timeline and reviewer expectations.

For authors looking to improve their chances of acceptance, services like LetPub's English Editing are often used to meet the journal's strict language requirements.

❌ Cons

  • Reviewer quality varies
  • Sometimes slow after “minor revision”
  • Increasing number of submissions = higher rejection
  • Reviewer quality can be inconsistent (some reports are superficial).
  • Page charges for color figures (if printed in traditional subscription mode).
  • High volume of submissions leads to desk rejection if novelty is low.