To publish in NCAA, authors must adhere to specific formatting and ethical standards provided by Springer Nature Formatting : Manuscripts should be submitted in format using a plain 10-point font (e.g., Times Roman). Use a decimal system for headings (maximum three levels). Include a separate section for Acknowledgments
According to data tracked by platforms like LetPub, the core scope covers:
Understanding a journal's standard metrics helps authors align their papers with institutional graduation or funding mandates. Metric Type Current Status / Value Strategic Importance ~4.5 - 6.0 (Stable) Indicates solid citation rates within AI subfields. JCR Citation Quartile Q2 (Computer Science, AI) Highly visible for international performance reviews. Chinese Academy of Sciences (CAS) Category 2 / 3 (Non-Warning) Safe choice for domestic funding requirements. Open Access Option Hybrid (Optional OA) No mandatory open-access publication fees.
: The journal boasts a significant H-index of 146 , reflecting its long-term influence in computer science. neural computing and applications letpub
Crowdsourced author experiences logged on the LetPub Journal Indexing System reveal critical operational benchmarks for prospective submitters:
Grammatical errors obscure scientific merit; utilize LetPub’s language editing services if needed.
Monitor the journal's steady citation growth to ensure high research visibility. To publish in NCAA, authors must adhere to
For researchers in artificial intelligence, machine learning, and computational neuroscience, finding the right journal for their manuscript is a high-stakes decision. One journal that consistently appears on shortlists is , published by Springer. But before submitting, most savvy researchers turn to one indispensable resource: LetPub .
The journal bridges the gap between theoretical AI models and industrial applications. Key areas of interest include:
How does NCAA stack up against alternatives on LetPub? Here’s a quick comparison: Metric Type Current Status / Value Strategic Importance ~4
Neural Computing and Applications is an international journal that publishes original research and review articles on all aspects of neural computing and its applications. Launched in 1993, the journal has grown alongside the deep learning revolution. It covers:
Based on the latest LetPub entry (2024–2025 data), here is the critical information: