- Research works
- 87 ▲ 2468% vs 2013–17
- Citations
- 6.1k 70.6 per fractional work
- Top-10% rate
- 38.4% record average 16.5%
- Open access
- 36% world 28%
Not ranked overall: Horizon Robotics (China) is under the volume floor below which an excellence rate is noise. Not ranked is not the same as ranked last.
What does Horizon Robotics (China) specialise in?
Where its research is concentrated relative to its size: Computer Science takes 8.8× the share of its output that it takes of world research.
- Computer ScienceField · 30.5 works8.8×
Location quotient, a volume reading rather than an impact one. It surfaces small, lopsided specialities.
Field profile
Location quotient across every field it publishes in: outside the ring is more than an institution of this size would be expected to publish, inside it is less.
Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 8.8×. Every wedge is a field page.
Who are the top researchers at Horizon Robotics (China)?
Ranked on the composite score, Ming Yang and Lichao Huang lead among researchers whose main affiliation is Horizon Robotics (China).
- 1 Ming Yang ?? · #8,633 worldwide 2.1k citations · 53 works
- 2 Lichao Huang ?? · #318,051 worldwide 287 citations · 15 works
Which keywords describe research at Horizon Robotics (China)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Convolutional Neural Networks, Neural Networks, Computer Vision, Image Classification, Convolutional Networks, Image Recognition and Object Detection.
- Terrestrial Laser Scanning
- Multi-Agent Systems
- Real-time Tracking
- 3D Reconstruction
- Pose Estimation
- Few-Shot Learning
- Domain Adaptation
- Acoustic Modeling
- SLAM
- 3D Mapping
- Meta-Learning
- Mobile Robots
- Robotics
- Representation Learning
- Collision Avoidance
- Autonomous Vehicles
- Object Detection
- Convolutional Networks
- Computer Vision
- Convolutional Neural Networks
- Deep Learning
- Neural Networks
- Image Classification
- Image Recognition
- Machine Learning
- Unsupervised Learning
- Semi-Supervised Learning
- Audio-Visual Speech Recognition
- Speech Enhancement
- Deep Neural Networks
- Transfer Learning
- Driver Assistance Systems
- Trajectory Prediction
- Action Recognition
- Feature Matching
- Local Descriptors
- Speaker Verification
- Point Clouds
- Depth Estimation
- Sparse Representation
Size is fractional works in 2022–2025 in the topics tagged with each word; colour is the word's share of this institution's work against its share of the world's. The 40 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 40 words, with their numbers
- Deep Learning22▲ 14×27 topics
- Convolutional Neural Networks8▲ 26×8 topics
- Neural Networks6▲ 9.1×13 topics
- Computer Vision4▲ 35×3 topics
- Image Classification4▲ 53×2 topics
- Convolutional Networks4▲ 60×3 topics
- Image Recognition4▲ 62×1 topic
- Object Detection4▲ 65×1 topic
- Machine Learning4▲ 2.4×7 topics
- Autonomous Vehicles4▲ 38×4 topics
- Unsupervised Learning3▲ 53×3 topics
- Collision Avoidance3▲ 39×2 topics
- Semi-Supervised Learning3▲ 56×3 topics
- Representation Learning3▲ 42×3 topics
- Audio-Visual Speech Recognition2▲ 98×1 topic
- Robotics2▲ 22×2 topics
- Speech Enhancement2▲ 98×1 topic
- Mobile Robots2▲ 52×2 topics
- Deep Neural Networks2▲ 45×2 topics
- Meta-Learning2▲ 61×2 topics
- Transfer Learning2▲ 26×2 topics
- 3D Mapping2▲ 67×1 topic
- Driver Assistance Systems2▲ 83×1 topic
- SLAM2▲ 67×1 topic
- Trajectory Prediction2▲ 83×1 topic
- Acoustic Modeling2▲ 111×1 topic
- Action Recognition2▲ 87×1 topic
- Domain Adaptation2▲ 82×1 topic
- Feature Matching2▲ 72×1 topic
- Few-Shot Learning2▲ 82×1 topic
- Local Descriptors2▲ 72×1 topic
- Pose Estimation2▲ 38×1 topic
- Speaker Verification2▲ 111×1 topic
- 3D Reconstruction2▲ 38×2 topics
- Point Clouds2▲ 38×2 topics
- Real-time Tracking2▲ 32×2 topics
- Depth Estimation1▲ 36×2 topics
- Multi-Agent Systems1▲ 17×2 topics
- Sparse Representation1▲ 16×5 topics
- Terrestrial Laser Scanning1▲ 24×2 topics
Which research topics does Horizon Robotics (China) publish most on?
By volume in 2022–2025: Advanced Neural Network Applications, Speech and Audio Processing, Robotics and Sensor-Based Localization and Autonomous Vehicle Technology and Safety.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Advanced Neural Network Applications Computer Vision and Pattern Recognition 4 works
- 2 Speech and Audio Processing Signal Processing 2 works
- 3 Robotics and Sensor-Based Localization Aerospace Engineering 2 works
- 4 Autonomous Vehicle Technology and Safety Automotive Engineering 2 works
- 5 Advanced Image and Video Retrieval Techniques Computer Vision and Pattern Recognition 2 works
- 6 Human Pose and Action Recognition Computer Vision and Pattern Recognition 2 works
- 7 Speech Recognition and Synthesis Artificial Intelligence 2 works
- 8 Domain Adaptation and Few-Shot Learning Artificial Intelligence 2 works
- 9 Advanced Vision and Imaging Computer Vision and Pattern Recognition 1 works
- 10 Video Surveillance and Tracking Methods Computer Vision and Pattern Recognition 1 works
How open and international is its research?
Against the world’s own shares — the tick on each track. Both are shares of its output, so they sit on one scale and can be read against each other as well as against the world.
World: 28% of research is openly available.
World: 19% is written across borders.
How has Horizon Robotics (China)'s research output changed?
Output in 2018–2022 was 2468% higher than in 2013–2017.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Other research institutions in Beijing
- China Electric Power Research Institute
- Chinese People's Armed Police Force
- State Key Laboratory of New Ceramics and Fine Processing
- China Telecom
- Institute of Basic Medical Sciences of the Chinese Academy of Medical Sciences
- State Key Laboratory of Nuclear Physics and Technology
- Institute of Geology, China Earthquake Administration
- State Key Laboratory of Rare Earth Materials Chemistry and Application
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners are in the interactive view on the map.