# Aviation Industry Corporation of China (China)

**Type:** Institutions  
**Canonical URL:** https://scholariq.org/institutions/aviation-industry-corporation-of-china-china/

## Facts

| Field | Value |
| --- | --- |
| Avg h-index | 44 |
| Citations | 44,158 |
| City | Beijing |
| Country | CN |
| Description | Aviation Industry Corporation of China (China) is a research organisation in Beijing, CN. OpenAlex records 4,176 works and 44,158 citations for it. 1,804 researchers list it as their most recent affiliation. |
| Homepage | http://www.avic.com/en/ |
| OpenAlex ID | https://openalex.org/I11838497 |
| Region | Beijing |
| Researchers | 1,804 |
| ROR ID | https://ror.org/02wq41p38 |
| Type | company |
| Wikidata ID | Q2667719 |
| Works | 4,176 |

## University papers

- [RODNet: A Real-Time Radar Object Detection Network Cross-Supervised by Camera-Radar Fused Object 3D Localization](https://scholariq.org/papers/rodnet-a-real-time-radar-object-detection-network-cross-supervised-by-camera/)
- [Exploit the Connectivity](https://scholariq.org/papers/exploit-the-connectivity/)
- [ACE: Ally Complementary Experts for Solving Long-Tailed Recognition in One-Shot](https://scholariq.org/papers/ace-ally-complementary-experts-for-solving-long-tailed-recognition-in-one-shot/)
- [RODNet: Radar Object Detection using Cross-Modal Supervision](https://scholariq.org/papers/rodnet-radar-object-detection-using-cross-modal-supervision/)
- [Split and Connect: A Universal Tracklet Booster for Multi-Object Tracking](https://scholariq.org/papers/split-and-connect-a-universal-tracklet-booster-for-multi-object-tracking/)
- [Rethinking of Radar’s Role: A Camera-Radar Dataset and Systematic Annotator via Coordinate Alignment](https://scholariq.org/papers/rethinking-of-radar-s-role-a-camera-radar-dataset-and-systematic-annotator-via/)
- [WRA: A 2.2-to-6.3 TOPS Highly Unified Dynamically Reconfigurable Accelerator Using a Novel Winograd Decomposition Algorithm for Convolutional Neural Networks](https://scholariq.org/papers/wra-a-2-2-to-6-3-tops-highly-unified-dynamically-reconfigurable-accelerator/)
- [Traffic-Aware Multi-Camera Tracking of Vehicles Based on ReID and Camera Link Model](https://scholariq.org/papers/traffic-aware-multi-camera-tracking-of-vehicles-based-on-reid-and-camera-link/)
- [A Stride-Based Convolution Decomposition Method to Stretch CNN Acceleration Algorithms for Efficient and Flexible Hardware Implementation](https://scholariq.org/papers/a-stride-based-convolution-decomposition-method-to-stretch-cnn-acceleration/)
- [Manipulator state estimation with low cost accelerometers and gyroscopes](https://scholariq.org/papers/manipulator-state-estimation-with-low-cost-accelerometers-and-gyroscopes/)
- [Identification of palmitoylated biomarkers in non-alcoholic fatty liver disease via integrated bioinformatics analysis and machine learning](https://scholariq.org/papers/identification-of-palmitoylated-biomarkers-in-non-alcoholic-fatty-liver-disease/)

## University researchers

- [Yizhou Wang](https://scholariq.org/researchers/yizhou-wang/)

## University top topics

Showing 8 of 22.

- [Advanced Measurement and Detection Methods](https://scholariq.org/topics/advanced-measurement-and-detection-methods/)
- [Computational Fluid Dynamics and Aerodynamics](https://scholariq.org/topics/computational-fluid-dynamics-and-aerodynamics/)
- [Metallurgy and Material Forming](https://scholariq.org/topics/metallurgy-and-material-forming/)
- [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/)
- [Tribology and Lubrication Engineering](https://scholariq.org/topics/tribology-and-lubrication-engineering/)
- [Mechanical Behavior of Composites](https://scholariq.org/topics/mechanical-behavior-of-composites/)
- [Fatigue and fracture mechanics](https://scholariq.org/topics/fatigue-and-fracture-mechanics/)

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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.