# Preferred Networks (Japan)

**Type:** Institutions  
**Canonical URL:** https://scholariq.org/institutions/preferred-networks-japan/

## Facts

| Field | Value |
| --- | --- |
| Citations | 63,329 |
| City | Tokyo |
| Country | JP |
| Description | Preferred Networks (Japan) is a research organisation in Tokyo, JP. OpenAlex records 624 works and 63,329 citations for it. 184 researchers list it as their most recent affiliation. |
| Homepage | https://www.preferred.jp |
| OpenAlex ID | https://openalex.org/I4210166566 |
| Region | Tokyo |
| Researchers | 184 |
| ROR ID | https://ror.org/05xeefy56 |
| Type | company |
| Works | 624 |

## University top topics

Showing 8 of 25.

- [Robot Manipulation and Learning](https://scholariq.org/topics/robot-manipulation-and-learning/)
- [Complexity and Algorithms in Graphs](https://scholariq.org/topics/complexity-and-algorithms-in-graphs/)
- [Advanced Graph Theory Research](https://scholariq.org/topics/advanced-graph-theory-research/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Natural Language Processing Techniques](https://scholariq.org/topics/natural-language-processing-techniques/)
- [Machine Learning in Materials Science](https://scholariq.org/topics/machine-learning-in-materials-science/)
- [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.
