# Tencent (China)

**Type:** Institutions  
**Canonical URL:** https://scholariq.org/institutions/tencent-china/

## Facts

| Field | Value |
| --- | --- |
| Avg h-index | 64 |
| Citations | 731,867 |
| City | Shenzhen |
| Country | CN |
| Description | Tencent (China) is a research organisation in Shenzhen, CN. OpenAlex records 10,133 works and 731,867 citations for it. 2,707 researchers list it as their most recent affiliation. |
| Homepage | https://www.tencent.com/en-us/index.html |
| OpenAlex ID | https://openalex.org/I2250653659 |
| Region | Guangdong |
| Researchers | 2,707 |
| ROR ID | https://ror.org/00hhjss72 |
| Type | company |
| Works | 10,133 |

## University papers

- [Morphological diversity of single neurons in molecularly defined cell types](https://scholariq.org/papers/morphological-diversity-of-single-neurons-in-molecularly-defined-cell-types/)
- [Highly stable flexible pressure sensors with a quasi-homogeneous composition and interlinked interfaces](https://scholariq.org/papers/highly-stable-flexible-pressure-sensors-with-a-quasi-homogeneous-composition-and/)

## 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/)
- [Multimodal Machine Learning Applications](https://scholariq.org/topics/multimodal-machine-learning-applications/)
- [Domain Adaptation and Few-Shot Learning](https://scholariq.org/topics/domain-adaptation-and-few-shot-learning/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Advanced Image and Video Retrieval Techniques](https://scholariq.org/topics/advanced-image-and-video-retrieval-techniques/)
- [Advanced Graph Neural Networks](https://scholariq.org/topics/advanced-graph-neural-networks/)
- [Recommender Systems and Techniques](https://scholariq.org/topics/recommender-systems-and-techniques/)

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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.