Letpub | Neural Computing And Applications
Good luck with your submission!
LetPub is a widely used scholar platform where authors share real-time tracking data of their submissions. For Neural Computing and Applications , the aggregated community metrics reveal the following trends: 1. Review Speed and Timeline
Neural Computing and Applications ISSN: 0941-0643 (Print) | 1433-3058 (Electronic) Publisher: Springer London Subject Area: Computer Science (Artificial Intelligence), Neuroscience neural computing and applications letpub
Do not submit your best work to Neural Computing and Applications in 2026 without a thorough investigation. Use LetPub as your primary intelligence tool: check the user comments weekly for any news on the “On Hold” status, use the real-time metrics to benchmark it against other Q1 journals, and seriously consider using LetPub’s recommendation engine to identify a safer, more stable alternative.
: Deep learning, convolutional networks, and recurrent systems. Good luck with your submission
Recognizing the challenges (especially the 9.0-month review time and the “On Hold” risk), LetPub offers services specifically designed to improve a manuscript’s chances. For NCA, LetPub prominently advertises its professional editing services, claiming that manuscripts edited by their experts have a and a 40% reduction in review time . While these claims are promotional, they underscore a core strategy: a well-polished manuscript in flawless English is more likely to navigate the review process efficiently.
: Hybrid journal. Authors can choose traditional free publication (subscription model) or pay an Article Processing Charge (APC) for gold Open Access. 💡 Tips for Submitting via LetPub Insights Review Speed and Timeline Neural Computing and Applications
: Performance measures, hardware implementations, and software simulations of intelligent systems. Author Experience (via LetPub & Others)
LetPub (letpub.com.cn) is a Chinese-English scientific journal database widely used by international researchers, especially from China, India, and other rapidly developing research nations. It provides:
According to metrics tracked on the LetPub NCA Journal Database, the journal maintains a highly competitive standing in the artificial intelligence domain: Current Status / Value Source / Context Springer London Springer Nature CiteScore Scopus Metrics Scopus Quartile Q1 (Software & AI) SCImago Journal Rank Average Review Speed ~9.0 Months LetPub User Analytics Average Acceptance Rate LetPub Submission Tracker Primary Indexing Scopus, EI, Google Scholar Journal Seeker Data
: Intelligent control systems, real-time forecasting, automated diagnostics, and pattern recognition. Bibliometric Profile on LetPub
