Neural Computing And Applications Letpub [new] Site
LetPub tracks official indexes alongside community data. NCAA is an and consistently holds a strong position in the Chinese Academy of Sciences (CAS) quartile rankings (typically Zone 2 or Zone 3 depending on the specific subfield category) and a high Clarivate Impact Factor.
NCA operates under a . Authors can choose to publish via the traditional subscription route (no cost to the author) or make their work immediately open access by paying an Article Processing Charge (APC) .
According to data aggregated by LetPub, the journal maintains a strong reputation in the academic community.
One of the most discussed aspects of NCA on academic forums (such as LetPub) is its review timeline. neural computing and applications letpub
System deployments in computer vision, natural language processing, robotics, biomedical engineering, and financial forecasting.
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to track its impact factor, ranking, and community peer-review feedback. Submission & Author Guidelines LetPub tracks official indexes alongside community data
The actual months it takes from submission to first decision.
This is a story about the journey of a researcher, Dr. Aris, navigating the world of , a prominent international journal published by Springer Nature . The Vision
According to LetPub user data, NCAA typically features a moderate to fast initial screening process. The time to first decision usually ranges between . Desk rejections often happen within the first two weeks, saving authors valuable time if the paper is deemed a poor fit. 2. Total Publication Timeline Authors can choose to publish via the traditional
The editorial board frequently rejects papers that are purely theoretical. Your manuscript must demonstrate a clear, novel application of neural computing to a complex, real-world problem. Benchmarking and Datasets
Filing via the NCAA Editorial Manager initiates a structured multi-stage validation track. Based on real-time crowd-sourced logs on the LetPub User Experience Board , manuscripts progress through distinct status updates:
NCA holds a niche as a . It is a reputable Springer publication with good Scopus metrics (Q1), making it a realistic target for many doctoral students and researchers, especially those whose primary goal is to get their work indexed and cited. It is easier to get into than Neurocomputing but carries more prestige than many of the predatory or low-quality open access journals flooding the market.
The LetPub community database estimates the acceptance rate for Neural Computing and Applications to be approximately . Because it is a highly visible journal in the computer science community, it receives a massive volume of annual submissions, leading to rigorous desk-screening by editors. 3. LetPub User Experience Score
To assess whether a manuscript aligns with this journal, researchers closely monitor metrics compiled on the LetPub Academic Community Platform : Metric Type Value / Status Classification Details Springer London Global distribution via Springer Link CiteScore 11.70 Top 10% in Software; Top 13% in AI Real-time IF 4.96 (as of mid-2026) Steady indicator of citation volume Scopus Quartile Q1 Ranked 49/490 in Software, 59/450 in AI Review Speed 9.0 Months (Average) Highly dependent on reviewer responsiveness Acceptance Rate ~50% (User-Reported) Reflects post-screening peer review survival