JAC Motors (China)
In research, JAC Motors (China) stands highest in Physical Sciences (#11,261 of 12,888 worldwide), 2022–2025.
- World rank, 2022–2025
- #22,902 of 28,054 · #35,717 all time
- Rank in China
- #2,995 of 3,058
- Research works
- 551 ▼ 62% vs 2013–17
- Citations
- 1k 1.8 per fractional work
- Top-10% rate
- 16.1% record average 16.5%
- Open access
- 6% world 28%
What is JAC Motors (China) known for in research?
The fields where it stands highest, 2022–2025, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| Physical SciencesDomain | #11,261 of 12,888 | 15.7% | 75 | #18840 |
Each strip is that field’s whole ranked pool, with the notch where JAC Motors (China) sits in it, in the colour of the band that rank falls in. The track under the rate is the rate itself: it carries no world mark, because the world rate differs by field (from about 6% to 21% in this record).
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: Chemical Engineering, 4.6×. Every wedge is a field page.
- Chemical Engineering 4.6×
- Engineering 4.0×
- Computer Science 2.5×
- Materials Science 1.5×
- Earth and Planetary Sciences 1.0×
- Physics and Astronomy 0.6×
- Decision Sciences 0.6×
- Chemistry 0.5×
- Agricultural and Biological Sciences 0.4×
- Environmental Science 0.4×
- Health Professions 0.3×
- Biochemistry, Genetics and Molecular Biology 0.3×
- Neuroscience 0.2×
- Immunology and Microbiology 0.2×
- Psychology 0.1×
- Social Sciences 0.1×
- Business, Management and Accounting 0.1×
- Economics, Econometrics and Finance 0.1×
- Medicine 0.0×
Who are the top researchers at JAC Motors (China)?
Ranked on the composite score, Wang Zu lead among researchers whose main affiliation is JAC Motors (China).
- 1 Wang Zu China · #843,138 worldwide 1 citations · 15 works
Which keywords describe research at JAC Motors (China)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Autonomous Vehicles, Collision Avoidance, Electric Vehicles, Path Planning, Neural Networks, Mechanical Properties and Multi-Agent Systems.
- Terrestrial Laser Scanning
- Robotic Manipulators
- Trajectory Prediction
- Driver Assistance Systems
- Semantic Segmentation
- Microstructural Evolution
- Image Recognition
- Computer Vision
- Vehicle Dynamics
- SLAM
- Numerical Simulation
- Dynamic Modeling
- Adaptive Control
- Convolutional Neural Networks
- Model Predictive Control
- Optimal Motion Planning
- Machine Learning
- Mechanical Properties
- Collision Avoidance
- Autonomous Vehicles
- Deep Learning
- Neural Networks
- Electric Vehicles
- Path Planning
- Multi-Agent Systems
- Sampling-Based Algorithms
- Robotics
- Microstructure
- Control Systems
- Localization
- 3D Mapping
- Thermal Management
- Emissions
- Grain Refinement
- Active Steering
- Object Detection
- Tire-Road Friction Estimation
- Feedback Control
- Convolutional Networks
- Sliding Mode Control
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 Learning12▲ 4.1×31 topics
- Autonomous Vehicles7▲ 43×4 topics
- Neural Networks6▲ 4.5×19 topics
- Collision Avoidance5▲ 35×2 topics
- Electric Vehicles5▲ 21×4 topics
- Mechanical Properties5▲ 6.0×16 topics
- Path Planning5▲ 44×2 topics
- Machine Learning4▲ 1.49×14 topics
- Multi-Agent Systems4▲ 25×3 topics
- Optimal Motion Planning4▲ 57×1 topic
- Sampling-Based Algorithms4▲ 57×1 topic
- Model Predictive Control3▲ 16×3 topics
- Robotics3▲ 17×4 topics
- Convolutional Neural Networks3▲ 5.3×3 topics
- Microstructure3▲ 6.9×8 topics
- Adaptive Control2▲ 22×5 topics
- Control Systems2▲ 15×4 topics
- Dynamic Modeling2▲ 63×2 topics
- Localization2▲ 22×2 topics
- Numerical Simulation2▲ 8.9×7 topics
- 3D Mapping2▲ 36×1 topic
- SLAM2▲ 36×1 topic
- Thermal Management2▲ 7.8×3 topics
- Vehicle Dynamics2▲ 45×2 topics
- Emissions2▲ 12×3 topics
- Computer Vision2▲ 8.8×2 topics
- Grain Refinement2▲ 20×3 topics
- Image Recognition2▲ 17×2 topics
- Active Steering2▲ 79×1 topic
- Microstructural Evolution2▲ 15×3 topics
- Object Detection2▲ 17×1 topic
- Semantic Segmentation2▲ 17×1 topic
- Tire-Road Friction Estimation2▲ 79×1 topic
- Driver Assistance Systems2▲ 36×1 topic
- Feedback Control2▲ 13×3 topics
- Trajectory Prediction2▲ 36×1 topic
- Convolutional Networks2▲ 14×3 topics
- Robotic Manipulators2▲ 20×3 topics
- Sliding Mode Control2▲ 29×2 topics
- Terrestrial Laser Scanning2▲ 15×2 topics
Which research topics does JAC Motors (China) publish most on?
By volume in 2022–2025: Robotic Path Planning Algorithms, Robotics and Sensor-Based Localization, Vehicle Dynamics and Control Systems and Advanced Neural Network Applications.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Robotic Path Planning Algorithms Computer Vision and Pattern Recognition 4 works
- 2 Robotics and Sensor-Based Localization Aerospace Engineering 2 works
- 3 Vehicle Dynamics and Control Systems Automotive Engineering 2 works
- 4 Advanced Neural Network Applications Computer Vision and Pattern Recognition 2 works
- 5 Autonomous Vehicle Technology and Safety Automotive Engineering 2 works
- 6 Aluminum Alloys Composites Properties Mechanical Engineering 1 works
- 7 Robot Manipulation and Learning Control and Systems Engineering 1 works
- 8 Robotic Mechanisms and Dynamics Control and Systems Engineering 1 works
- 9 Advanced Battery Technologies Research Automotive Engineering 1 works
- 10 Electric and Hybrid Vehicle Technologies Automotive Engineering 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 JAC Motors (China)'s research output changed?
Output in 2018–2022 was 62% lower 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 Hefei
- University of Science and Technology of China
- Hefei University of Technology
- Anhui University
- Anhui Medical University
- Anhui Agricultural University
- Hefei University
- First Affiliated Hospital of Anhui Medical University
- Anhui University of Traditional Chinese Medicine
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.