Neural Computing And Applications — Letpub

Neural Computing and Applications publishes original research and reviews in the fields of neural computing and related applications. It covers:

The proposed AGMS-Net consists of three primary components:

LetPub (letpub.com.cn) is a Chinese-English scientific journal database widely used by international researchers, especially from China, India, and other rapidly developing research nations. It provides:

When you search for "Neural Computing and Applications LetPub," you land on a page that aggregates both official data and crowdsourced reviewer feedback. LetPub’s strength is its real-world timeline data—something official journal sites often downplay. neural computing and applications letpub

LetPub clearly indicates that NCAA is a hybrid journal. You can publish via the traditional subscription model (free for authors, readers pay) or pay an APC for gold open access.

Consider open access if:

Stick with subscription if:

LetPub also notes that waivers are available for low-income countries—check the official Springer policy.

No journal is perfect. LetPub’s anonymous feedback highlights:

However, most users conclude that NCAA is a fair, rigorous journal worth the wait. The proposed AGMS-Net consists of three primary components:

A common fear among early-career researchers is identifying predatory journals. NCAA is 100% legitimate:

LetPub’s user ratings (typically 7–8/10) confirm this is a respected, rigorous journal—not a quick publication outlet.

The most valuable part of LetPub is the anonymous reviewer comments. For Neural Computing and Applications, several patterns emerge: When you search for "Neural Computing and Applications