On LetPub, NCA holds a solid , with specific category ratings of 7.6 for Reputation , 7.3 for Influence , and 6.9 for Speed . These scores, derived from over 370 user ratings on the Chinese platform and over 60 on the international site, reflect a consensus that NCA is a reputable journal with moderate-to-good influence and a publication process that can vary in speed.
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.
On the LetPub Journal Search System, NCAA is a frequent subject of discussion among researchers, particularly those from China. neural computing and applications letpub
Offers a hybrid model. Authors can choose traditional publishing (no fee) or Open Access for a fee (APC approximately $2,780). Scope & Reputation
Published by , Neural Computing and Applications bridges the gap between theoretical neural network models and real-world engineering solutions. On LetPub, NCA holds a solid , with
The journal is particularly popular among scholars from China, India, and Iran. It covers a wide array of topics, including: Adaptive computing and machine learning algorithms. Fuzzy logic, genetic algorithms, and neuro-fuzzy systems.
LetPub provides an invaluable data-driven lens through which to view Neural Computing and Applications . Based on the evidence, here is a final assessment: It has a higher CiteScore (13
Navigating the landscape of academic publishing in artificial intelligence can be complex, especially with high-impact journals like . Scholars often turn to platforms like LetPub to gauge a journal's reputation, publication speed, and acceptance difficulty. Overview of Neural Computing and Applications (NCAA)
Papers leveraging genetic algorithms, particle swarm optimization, or novel biomimetic strategies (such as the Swordfish Movement Optimization Algorithm) for feature selection and hyperparameter tuning find a highly receptive audience here. 3. Industrial and Cross-Domain Applications