- Research works
- 87 ▲ 32% vs 2018-21
- Citations
- 6.1k 70.6 per fractional work
- Top-10% rate
- 28.6% all institutions 10.0%
- Open access
- 36% world 40%
- International
- 21% world 18%
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.
Which fields of science does Horizon Robotics (China) work in?
In 2022-now, 97% of research at Horizon Robotics (China) is in Physical Sciences, 1% in Social Sciences. Its largest fields are Computer Science (68%), Engineering (25%), Earth and Planetary Sciences (2%). It does 2.3× the world's share of Physical Sciences.
Each ring splits the one inside it: the four domains of science, their fields, their subfields. Size is fractional works in 2022-now. Every slice is a page; the interactive view zooms down to single topics and colours each by how much more of it this institution does than the world.
Its 4 domains and 12 fields, with their numbers
- Physical Sciences5097.3%
- Computer Science3567.7%
- Engineering1325.4%
- Earth and Planetary Sciences12.2%
- Physics and Astronomy00.8%
- Environmental Science00.6%
- Mathematics00.4%
- Materials Science00.2%
- Social Sciences11.4%
- Psychology11.0%
- Decision Sciences00.3%
- Health Sciences01.0%
- Medicine00.7%
- Health Professions00.2%
- Life Sciences00.4%
- Neuroscience00.4%
What does Horizon Robotics (China) specialise in?
Where its research is concentrated relative to its size: Computer Science takes 8.7× the share of its output that it takes of world research.
- Computer ScienceField · 34.8 works8.7×
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, 8.7×. Every wedge is a field page.
All 12 fields, with their numbers
- Computer Science8.70×35 works
- Engineering1.70×13 works
- Earth and Planetary Sciences1.39×1 works
- Physics and Astronomy0.37×0 works
- Decision Sciences0.34×0 works
- Psychology0.34×0 works
- Mathematics0.32×0 works
- Neuroscience0.27×0 works
- Environmental Science0.13×0 works
- Health Professions0.08×0 works
- Materials Science0.05×0 works
- Medicine0.04×0 works
Who are the top researchers at Horizon Robotics (China)?
Ranked on the quality score, Lichao Huang, Helong Zhou and Zhizhong Su lead among researchers whose main affiliation is Horizon Robotics (China).
- 1 Lichao Huang #205,671 worldwide 7k citations · 80 works
- 2 Helong Zhou #799,167 worldwide 888 citations · 16 works
- 3 Zhizhong Su #897,505 worldwide 2.9k citations · 33 works
- 4 Qinxun Bai #1,049,032 worldwide 2.1k citations · 30 works
- 5 Guoli Wang #1,153,878 worldwide 872 citations · 44 works
- 6 Qian Zhang #1,302,958 worldwide 302 citations · 20 works
- 7 Xiaoyang Guo #2,709,246 worldwide 251 citations · 32 works
Which keywords describe research at Horizon Robotics (China)?
By fractional works in 2022-now, weighted toward what it does more of than the world: Deep Learning, Convolutional Neural Networks, Neural Networks, Convolutional Networks, Computer Vision, Image Classification, Unsupervised Learning and Image Recognition.
- Multi-Agent Systems
- Point Clouds
- Stereo Vision
- Optical Flow
- Acoustic Modeling
- Domain Adaptation
- Driver Assistance Systems
- Transfer Learning
- Pose Estimation
- Audio-Visual Speech Recognition
- Local Descriptors
- SLAM
- Semi-Supervised Learning
- Robotics
- Collision Avoidance
- Autonomous Vehicles
- Image Recognition
- Image Classification
- Convolutional Networks
- Convolutional Neural Networks
- Deep Learning
- Neural Networks
- Computer Vision
- Unsupervised Learning
- Object Detection
- Machine Learning
- Representation Learning
- Mobile Robots
- 3D Mapping
- Feature Matching
- Action Recognition
- Meta-Learning
- Speech Enhancement
- Deep Neural Networks
- Trajectory Prediction
- Few-Shot Learning
- Depth Estimation
- Speaker Verification
- 3D Reconstruction
- Real-time Tracking
Size is fractional works in 2022-now 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 Learning26▲ 14×28 topics
- Convolutional Neural Networks9▲ 25×8 topics
- Neural Networks7▲ 9.1×13 topics
- Convolutional Networks5▲ 73×3 topics
- Computer Vision5▲ 35×3 topics
- Image Classification5▲ 49×2 topics
- Unsupervised Learning5▲ 60×3 topics
- Image Recognition4▲ 58×1 topic
- Object Detection4▲ 61×1 topic
- Autonomous Vehicles4▲ 35×4 topics
- Machine Learning4▲ 2.2×7 topics
- Collision Avoidance4▲ 37×2 topics
- Representation Learning3▲ 40×3 topics
- Robotics3▲ 26×2 topics
- Mobile Robots3▲ 61×2 topics
- Semi-Supervised Learning3▲ 48×3 topics
- 3D Mapping3▲ 80×1 topic
- SLAM3▲ 80×1 topic
- Feature Matching3▲ 87×1 topic
- Local Descriptors3▲ 87×1 topic
- Action Recognition2▲ 98×1 topic
- Audio-Visual Speech Recognition2▲ 93×1 topic
- Meta-Learning2▲ 56×2 topics
- Pose Estimation2▲ 41×1 topic
- Speech Enhancement2▲ 93×1 topic
- Transfer Learning2▲ 25×2 topics
- Deep Neural Networks2▲ 36×2 topics
- Driver Assistance Systems2▲ 79×1 topic
- Trajectory Prediction2▲ 79×1 topic
- Domain Adaptation2▲ 76×1 topic
- Few-Shot Learning2▲ 76×1 topic
- Acoustic Modeling2▲ 102×1 topic
- Depth Estimation2▲ 50×2 topics
- Optical Flow2▲ 79×1 topic
- Speaker Verification2▲ 102×1 topic
- Stereo Vision2▲ 79×1 topic
- 3D Reconstruction2▲ 38×2 topics
- Point Clouds2▲ 38×2 topics
- Real-time Tracking2▲ 33×2 topics
- Multi-Agent Systems2▲ 16×2 topics
Which research topics does Horizon Robotics (China) publish most on?
By volume in 2022-now: Advanced Neural Network Applications, Robotics and Sensor-Based Localization, Advanced Image and Video Retrieval Techniques and Speech and Audio Processing.
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 Robotics and Sensor-Based Localization Aerospace Engineering 3 works
- 3 Advanced Image and Video Retrieval Techniques Computer Vision and Pattern Recognition 3 works
- 4 Speech and Audio Processing Signal Processing 2 works
- 5 Human Pose and Action Recognition Computer Vision and Pattern Recognition 2 works
- 6 Autonomous Vehicle Technology and Safety Automotive Engineering 2 works
- 7 Domain Adaptation and Few-Shot Learning Artificial Intelligence 2 works
- 8 Speech Recognition and Synthesis Artificial Intelligence 2 works
- 9 Advanced Vision and Imaging Computer Vision and Pattern Recognition 2 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: 40% of research is openly available.
World: 18% is written across borders.
How has Horizon Robotics (China)'s research output changed?
Output in 2022-2025 was 32% higher than in 2018-2021.
The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.
Its share of all research
Growing output can still be a shrinking share: all of science grows. This is Horizon Robotics (China) as a percentage of every work published that year, 0.00023% in 2024.
Fractional works of Horizon Robotics (China) over all fractional works that year. How the balance of science has shifted.
Other research institutions in Beijing
- Chinese People's Armed Police Force
- China Telecom
- Kuaishou (China)
- CHN Energy (China)
- Changcheng Institute of Metrology & Measurement
- State Key Laboratory of Kidney Diseases
- State Key Laboratory of Cardiovascular Disease
- China National Botanical Garden
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners have tabs of their own, above.
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