# Neural Processing Letters

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/neural-processing-letters/

## Facts

| Field | Value |
| --- | --- |
| APC (USD) | 2,990 |
| Citations | 64,245 |
| h-index | 85 |
| Homepage | https://link.springer.com/journal/11063 |
| Open Access | false |
| ISSN-L | 1370-4621 |
| ISSNs | 1370-4621,1573-773X |
| OpenAlex ID | https://openalex.org/S140962798 |
| Publisher | Springer Science+Business Media |
| Works | 3,346 |

## Journal top topics

Showing 8 of 25.

- [Neural Networks and Applications](https://scholariq.org/topics/neural-networks-and-applications/)
- [Neural Networks Stability and Synchronization](https://scholariq.org/topics/neural-networks-stability-and-synchronization/)
- [Face and Expression Recognition](https://scholariq.org/topics/face-and-expression-recognition/)
- [Advanced Memory and Neural Computing](https://scholariq.org/topics/advanced-memory-and-neural-computing/)
- [stochastic dynamics and bifurcation](https://scholariq.org/topics/stochastic-dynamics-and-bifurcation/)
- [Machine Learning and ELM](https://scholariq.org/topics/machine-learning-and-elm/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Domain Adaptation and Few-Shot Learning](https://scholariq.org/topics/domain-adaptation-and-few-shot-learning/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.