# Beijing Union University

**Type:** Institutions  
**Canonical URL:** https://scholariq.org/institutions/beijing-union-university/

## Facts

| Field | Value |
| --- | --- |
| Avg h-index | 116.3 |
| Citations | 126,513 |
| City | Beijing |
| Country | CN |
| Description | Beijing Union University is a research organisation in Beijing, CN. OpenAlex records 8,822 works and 126,513 citations for it. 2,347 researchers list it as their most recent affiliation. |
| Homepage | https://www.buu.edu.cn |
| OpenAlex ID | https://openalex.org/I114234892 |
| Researchers | 2,347 |
| ROR ID | https://ror.org/01hg31662 |
| Type | education |
| Wikidata ID | https://www.wikidata.org/wiki/Q4881203 |
| Works | 8,822 |

## University papers

Showing 12 of 28.

- [ImageNet: A large-scale hierarchical image database](https://scholariq.org/papers/imagenet-a-large-scale-hierarchical-image-database/)
- [ImageNet Large Scale Visual Recognition Challenge](https://scholariq.org/papers/imagenet-large-scale-visual-recognition-challenge/)
- [Perceptual Losses for Real-Time Style Transfer and Super-Resolution](https://scholariq.org/papers/perceptual-losses-for-real-time-style-transfer-and-super-resolution/)
- [Large-Scale Video Classification with Convolutional Neural Networks](https://scholariq.org/papers/large-scale-video-classification-with-convolutional-neural-networks/)
- [Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations](https://scholariq.org/papers/visual-genome-connecting-language-and-vision-using-crowdsourced-dense-image/)
- [Deep visual-semantic alignments for generating image descriptions](https://scholariq.org/papers/deep-visual-semantic-alignments-for-generating-image-descriptions/)
- [A Bayesian Hierarchical Model for Learning Natural Scene Categories](https://scholariq.org/papers/a-bayesian-hierarchical-model-for-learning-natural-scene-categories/)
- [Social LSTM: Human Trajectory Prediction in Crowded Spaces](https://scholariq.org/papers/social-lstm-human-trajectory-prediction-in-crowded-spaces/)
- [3D Object Representations for Fine-Grained Categorization](https://scholariq.org/papers/3d-object-representations-for-fine-grained-categorization/)
- [One-shot learning of object categories](https://scholariq.org/papers/one-shot-learning-of-object-categories/)
- [End-to-End Learning of Action Detection from Frame Glimpses in Videos](https://scholariq.org/papers/end-to-end-learning-of-action-detection-from-frame-glimpses-in-videos/)
- [Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States](https://scholariq.org/papers/using-deep-learning-and-google-street-view-to-estimate-the-demographic-makeup-of/)

## University researchers

- [Li Fei-Fei](https://scholariq.org/researchers/li-fei-fei/)
- [Yutong Wang](https://scholariq.org/researchers/yutong-wang/)

## University top topics

Showing 8 of 19.

- [Advanced Computational Techniques and Applications](https://scholariq.org/topics/advanced-computational-techniques-and-applications/)
- [Advanced Algorithms and Applications](https://scholariq.org/topics/advanced-algorithms-and-applications/)
- [Diverse Aspects of Tourism Research](https://scholariq.org/topics/diverse-aspects-of-tourism-research/)
- [Advanced Sensor and Control Systems](https://scholariq.org/topics/advanced-sensor-and-control-systems/)
- [Industrial Technology and Control Systems](https://scholariq.org/topics/industrial-technology-and-control-systems/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Simulation and Modeling Applications](https://scholariq.org/topics/simulation-and-modeling-applications/)
- [Digital Marketing and Social Media](https://scholariq.org/topics/digital-marketing-and-social-media/)

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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.