# National Institute of Informatics

**Type:** Institutions  
**Canonical URL:** https://scholariq.org/institutions/national-institute-of-informatics/

## Facts

| Field | Value |
| --- | --- |
| Avg h-index | 44 |
| Citations | 364,164 |
| City | Tokyo |
| Country | JP |
| Description | National Institute of Informatics is a research organisation in Tokyo, JP. OpenAlex records 12,681 works and 364,164 citations for it. 838 researchers list it as their most recent affiliation. |
| Homepage | https://www.nii.ac.jp |
| OpenAlex ID | https://openalex.org/I184597095 |
| Researchers | 838 |
| ROR ID | https://ror.org/04ksd4g47 |
| Type | facility |
| Wikidata ID | https://www.wikidata.org/wiki/Q4346622 |
| Works | 12,681 |

## University papers

Showing 12 of 17.

- [MesoNet: a Compact Facial Video Forgery Detection Network](https://scholariq.org/papers/mesonet-a-compact-facial-video-forgery-detection-network/)
- [Capsule-forensics: Using Capsule Networks to Detect Forged Images and Videos](https://scholariq.org/papers/capsule-forensics-using-capsule-networks-to-detect-forged-images-and-videos/)
- [Multi-task Learning for Detecting and Segmenting Manipulated Facial Images and Videos](https://scholariq.org/papers/multi-task-learning-for-detecting-and-segmenting-manipulated-facial-images-and/)
- [Distinguishing computer graphics from natural images using convolution neural networks](https://scholariq.org/papers/distinguishing-computer-graphics-from-natural-images-using-convolution-neural/)
- [Artificial Intelligence System to Determine Risk of T1 Colorectal Cancer Metastasis to Lymph Node](https://scholariq.org/papers/artificial-intelligence-system-to-determine-risk-of-t1-colorectal-cancer/)
- [Automated laparoscopic colorectal surgery workflow recognition using artificial intelligence: Experimental research](https://scholariq.org/papers/automated-laparoscopic-colorectal-surgery-workflow-recognition-using-artificial/)
- [Automated identification of bias inducing words in news articles using linguistic and context-oriented features](https://scholariq.org/papers/automated-identification-of-bias-inducing-words-in-news-articles-using/)
- [Neural Media Bias Detection Using Distant Supervision With BABE - Bias Annotations By Experts](https://scholariq.org/papers/neural-media-bias-detection-using-distant-supervision-with-babe-bias-annotations/)
- [Exploiting Transformer-Based Multitask Learning for the Detection of Media Bias in News Articles](https://scholariq.org/papers/exploiting-transformer-based-multitask-learning-for-the-detection-of-media-bias/)
- [A Benchmark of PDF Information Extraction Tools Using a Multi-task and Multi-domain Evaluation Framework for Academic Documents](https://scholariq.org/papers/a-benchmark-of-pdf-information-extraction-tools-using-a-multi-task-and-multi/)
- [Media Bias in German News Articles: A Combined Approach](https://scholariq.org/papers/media-bias-in-german-news-articles-a-combined-approach/)
- [Introducing MBIB - The First Media Bias Identification Benchmark Task and Dataset Collection](https://scholariq.org/papers/introducing-mbib-the-first-media-bias-identification-benchmark-task-and-dataset/)

## University researchers

- [Timo Spinde](https://scholariq.org/researchers/timo-spinde/)

## University top topics

Showing 8 of 25.

- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)
- [Natural Language Processing Techniques](https://scholariq.org/topics/natural-language-processing-techniques/)
- [Advanced Graph Theory Research](https://scholariq.org/topics/advanced-graph-theory-research/)
- [Quantum Information and Cryptography](https://scholariq.org/topics/quantum-information-and-cryptography/)
- [Semantic Web and Ontologies](https://scholariq.org/topics/semantic-web-and-ontologies/)
- [Formal Methods in Verification](https://scholariq.org/topics/formal-methods-in-verification/)
- [Complexity and Algorithms in Graphs](https://scholariq.org/topics/complexity-and-algorithms-in-graphs/)
- [Quantum Computing Algorithms and Architecture](https://scholariq.org/topics/quantum-computing-algorithms-and-architecture/)

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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.