Consistently ranked in Q1 for Artificial Intelligence and Software according to Scopus and SJR.
remains a reputable choice for researchers working at the intersection of neural network theory and application. It offers respectable Impact Factor metrics and a prestigious Springer publication platform. However, authors should be prepared for a potentially rigorous review timeline and ensure their work has a strong practical component.
在各类平台上更为统一。根据LetPub展示：
Compare your model against state-of-the-art baselines using standard public datasets.
LetPub serves as a critical analytics tool for authors to gauge whether Neural Computing and Applications matches their publication timeline and academic goals. Crucial Metrics to Track neural computing and applications letpub
Neurocomputing is the most direct competitor. It has a higher CiteScore (13.5), a longer publication history, and is widely considered more prestigious and selective than NCA, with a lower acceptance rate. IEEE Access , a mega-journal, publishes a much higher volume of articles and has a different, rapid-review model that prioritizes technical correctness over novelty.
| Journal | Impact Factor (approx) | Review Speed | Acceptance Rate | Publisher | |---------|------------------------|--------------|----------------|-----------| | | 5.6 | 4–6 months | ~25% | Springer | | Neurocomputing | 6.0 | 3–5 months | ~22% | Elsevier | | Neural Networks | 7.8 | 5–7 months | ~18% | Elsevier | | IEEE Trans. on Neural Networks and Learning Systems | 10.4 | 6–9 months | ~12% | IEEE | | Applied Soft Computing | 8.7 | 4–6 months | ~20% | Elsevier |
, the journal has an average review speed of roughly 9 months and is widely indexed . For more details, visit LetPub.
The journal explicitly highlights its interest in , meaning research that is not just theoretical but has demonstrable value in fields like biomedical engineering, industrial automation, financial forecasting, and cybersecurity. The Editor-in-Chief is John MacIntyre. Consistently ranked in Q1 for Artificial Intelligence and
The official acceptance rate for top-tier Springer journals is rarely published. However, LetPub’s user-contributed data estimates the acceptance rate for NCAA to be roughly . This establishes the journal as highly competitive, requiring robust methodology and clear novelty. 4. Journal Rankings and Impact
Thus, when a user enters “neural computing and applications letpub,” they are searching for a dossier: a complete, multi-dimensional profile of the NCA journal, annotated with the collective wisdom of the global research community. The LetPub entry for NCA receives a , based on hundreds of user ratings and has been viewed over 767,000 times as of early 2026, which underscores its immense popularity among researchers, particularly those in China and East Asia.
on the title page, specifying funding organizations in full. Define abbreviations at the first mention. Open Access : The journal offers open access options under Creative Commons licenses (CC BY or CC BY-NC-ND). Springer Nature Link Aims and Scope
Neural Computing And Applications - Impact Factor, Indexing, Time, Fees However, authors should be prepared for a potentially
Neuromorphic computing and edge AI hardware. What is LetPub and How Does it Help Researchers?
Neural Computing and Applications () 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.
Do not just compare against a simple multilayer perceptron. Compare against recent (2022–2024) methods: transformers, graph neural networks, or domain-specific SOTA. Reviewers will penalize weak baselines.