Neural Computing & Applications is an international journal published by Springer London. It focuses on the practical applications of neural computing and related techniques, placing a strong emphasis on building real-world systems. The journal's scope is broad, covering the confluence of several advanced fields. According to its official Springer page, its core areas include:
Last updated: April 2025. Impact factors and APCs are subject to change. Always verify directly with Springer and LetPub before final submission.
在诸多积极数据背后，所有潜在投稿人必须正视一个： NCA当前的SCI收录状态为"被剔除"且"On Hold" 。
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The reported by users is approximately 9 months , which is considered relatively slow by some contributors.
The phrase represents more than a search query—it reflects a researcher’s desire for transparency, efficiency, and strategic alignment. By leveraging LetPub’s user-generated intelligence, you can navigate NCAA’s review process with confidence. Remember to focus on reproducible, application-driven neural methods, adhere strictly to Springer formatting, and always cross-check the latest LetPub comments before submission.
: NCAA covers neural networks, genetic algorithms, fuzzy logic, machine learning, and hybrid intelligent systems. : It is typically categorized as a Q1 journal neural computing and applications letpub
to track its impact factor, ranking, and community peer-review feedback. Submission & Author Guidelines
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
Published by , Neural Computing and Applications (NCAA) bridges the gap between theoretical AI models and real-world engineering solutions. Core Topics Covered Neural Computing & Applications is an international journal
The combination of LetPub’s data and the journal’s profile creates a classic “high risk, high reward” scenario.
The journal covers of neural computing and its applications, including:
: Unlike purely theoretical journals, it emphasizes "applicable" theory and case histories of innovative applications in fields like intelligent forecasting and diagnostics. 2. Key Performance Metrics (via LetPub & JCR) According to its official Springer page, its core