Neural Computing | And Applications Letpub //free\\

Neural Computing and Applications LetPub: A Complete Researcher’s Guide to Impact Factor, Review Speed, and Acceptance Rate

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 Neural Computing and Applications (NCAA) , published by Springer. But before submitting, most savvy researchers turn to one indispensable resource: LetPub.

• LetPub’s official page for Neural Computing and Applications (direct link – search live on letpub.com)
• Springer’s author instructions for NCAA
• Journal Citation Reports (Clarivate) 2024 release

Contribution: This study introduces a lightweight yet robust hybrid architecture specifically optimized for small dataset scenarios and multi-scale feature extraction.

• Abstract (200 words)
• Introduction (with clear contribution bullets)
• Methodology (neural/framework details)
• Experiments (datasets, baselines, metrics, statistical tests)
• Results & Discussion
• Conclusion + Future work

Review Speed: The process is known to be relatively thorough, with an average review cycle of approximately 9 months. neural computing and applications letpub

Impact Score: The latest impact score is approximately 4.5 to 6.0, showing a general upward trend over the last few years. Contribution: This study introduces a lightweight yet robust

Quartile Ranking: It is consistently ranked as a Q1 journal in both Artificial Intelligence and Software categories. and computational neuroscience

CiteScore: Approximately 11.7 (2025 data), placing it in the top 10%–13% of journals in its field.