JAC Motors (China)
In research, JAC Motors (China) stands highest in Physical Sciences (#6,458 of 10,670 worldwide), 2022-now.
- World rank, 2022-now
- #19,926 of 22,385 · #21,884 all time
- Rank in China
- #2,270 of 2,481
- Research works
- 551 ▲ 165% vs 2018-21
- Citations
- 1k 1.8 per fractional work
- Top-10% rate
- 10.1% all institutions 10.0%
- vs its own fields
- 0.99× 1.00× is exactly expected
- Open access
- 6% world 40%
- International
- 3% world 18%
What is JAC Motors (China) known for in research?
The fields where it stands highest, 2022-now, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| Physical SciencesDomain | #6,458 of 10,670 | 10.2% | 75 | #9208 |
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 average mark, because the average differs by field (from about 6% in Dentistry to 21% in Economics).
Which fields of science does JAC Motors (China) work in?
In 2022-now, 91% of research at JAC Motors (China) is in Physical Sciences, 5% in Life Sciences. Its largest fields are Engineering (59%), Computer Science (20%), Materials Science (5%). 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 21 fields, with their numbers
- Physical Sciences9491.3%
- Engineering6058.6%
- Computer Science2120.3%
- Materials Science54.6%
- Environmental Science22.3%
- Earth and Planetary Sciences22.0%
- Chemical Engineering11.4%
- Physics and Astronomy11.3%
- Chemistry10.6%
- Energy00.1%
- Life Sciences54.8%
- Social Sciences32.6%
- Health Sciences11.3%
- Health Professions10.6%
- Medicine10.6%
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, 4.1×. Every wedge is a field page.
All 21 fields, with their numbers
- Chemical Engineering4.14×2 works
- Engineering3.91×60 works
- Computer Science2.61×21 works
- Earth and Planetary Sciences1.31×2 works
- Materials Science1.31×5 works
- Agricultural and Biological Sciences0.57×3 works
- Physics and Astronomy0.57×1 works
- Decision Sciences0.56×1 works
- Environmental Science0.45×2 works
- Immunology and Microbiology0.43×0 works
- Chemistry0.38×1 works
- Neuroscience0.25×0 works
- Health Professions0.25×1 works
- Biochemistry, Genetics and Molecular Biology0.23×1 works
- Psychology0.19×1 works
- Energy0.14×0 works
- Social Sciences0.09×1 works
- Business, Management and Accounting0.05×0 works
- Economics, Econometrics and Finance0.05×0 works
- Arts and Humanities0.04×0 works
- Medicine0.03×1 works
- Chemical Engineering 4.1×
- Engineering 3.9×
- Computer Science 2.6×
- Earth and Planetary Sciences 1.3×
- Materials Science 1.3×
- Agricultural and Biological Sciences 0.6×
- Physics and Astronomy 0.6×
- Decision Sciences 0.6×
- Environmental Science 0.5×
- Immunology and Microbiology 0.4×
- Chemistry 0.4×
- Neuroscience 0.2×
- Health Professions 0.2×
- Biochemistry, Genetics and Molecular Biology 0.2×
- Psychology 0.2×
- Energy 0.1×
- Social Sciences 0.1×
- Business, Management and Accounting 0.1×
- Economics, Econometrics and Finance 0.1×
- Arts and Humanities 0.0×
- Medicine 0.0×
Who are the top researchers at JAC Motors (China)?
Ranked on the quality score, Qiong Wu lead among researchers whose main affiliation is JAC Motors (China).
All ranked researchers at JAC Motors (China)Which keywords describe research at JAC Motors (China)?
By fractional works in 2022-now, weighted toward what it does more of than the world: Deep Learning, Autonomous Vehicles, Collision Avoidance, Electric Vehicles, Neural Networks, Path Planning, Model Predictive Control and Multi-Agent Systems.
- Reinforcement Learning
- Robotic Manipulators
- Terrestrial Laser Scanning
- Emissions
- Computer Vision
- Numerical Simulation
- Trajectory Prediction
- Dynamic Modeling
- Tire-Road Friction Estimation
- Adaptive Control
- Control Systems
- 3D Mapping
- Microstructure
- Convolutional Neural Networks
- Optimal Motion Planning
- Multi-Agent Systems
- Path Planning
- Machine Learning
- Collision Avoidance
- Autonomous Vehicles
- Deep Learning
- Neural Networks
- Electric Vehicles
- Mechanical Properties
- Model Predictive Control
- Robotics
- Sampling-Based Algorithms
- Localization
- Vehicle Dynamics
- SLAM
- Sensor Fusion
- Active Steering
- Driver Assistance Systems
- Thermal Management
- Convolutional Networks
- Unsupervised Learning
- Depth Estimation
- Image Recognition
- Object Detection
- Semantic Segmentation
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 Learning16▲ 4.5×37 topics
- Autonomous Vehicles10▲ 44×4 topics
- Neural Networks8▲ 4.8×22 topics
- Collision Avoidance7▲ 35×2 topics
- Electric Vehicles7▲ 22×4 topics
- Machine Learning6▲ 1.82×19 topics
- Mechanical Properties5▲ 5.2×16 topics
- Path Planning5▲ 40×2 topics
- Model Predictive Control5▲ 18×5 topics
- Multi-Agent Systems4▲ 23×3 topics
- Robotics4▲ 17×4 topics
- Optimal Motion Planning4▲ 54×1 topic
- Sampling-Based Algorithms4▲ 54×1 topic
- Convolutional Neural Networks4▲ 5.1×3 topics
- Localization3▲ 26×2 topics
- Microstructure3▲ 6.0×8 topics
- Vehicle Dynamics3▲ 54×2 topics
- 3D Mapping3▲ 43×1 topic
- SLAM3▲ 43×1 topic
- Control Systems3▲ 16×4 topics
- Sensor Fusion3▲ 26×2 topics
- Adaptive Control3▲ 19×5 topics
- Active Steering3▲ 87×1 topic
- Tire-Road Friction Estimation3▲ 87×1 topic
- Driver Assistance Systems2▲ 43×1 topic
- Dynamic Modeling2▲ 57×2 topics
- Thermal Management2▲ 7.3×3 topics
- Trajectory Prediction2▲ 43×1 topic
- Convolutional Networks2▲ 17×3 topics
- Numerical Simulation2▲ 8.0×8 topics
- Unsupervised Learning2▲ 15×3 topics
- Computer Vision2▲ 7.8×2 topics
- Depth Estimation2▲ 27×2 topics
- Emissions2▲ 11×3 topics
- Image Recognition2▲ 14×2 topics
- Terrestrial Laser Scanning2▲ 18×2 topics
- Object Detection2▲ 14×1 topic
- Robotic Manipulators2▲ 20×3 topics
- Semantic Segmentation2▲ 14×1 topic
- Reinforcement Learning2▲ 17×3 topics
Which research topics does JAC Motors (China) publish most on?
By volume in 2022-now: Robotic Path Planning Algorithms, Robotics and Sensor-Based Localization, Vehicle Dynamics and Control Systems and Autonomous Vehicle Technology and Safety.
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 3 works
- 3 Vehicle Dynamics and Control Systems Automotive Engineering 3 works
- 4 Autonomous Vehicle Technology and Safety Automotive Engineering 3 works
- 5 Advanced Neural Network Applications Computer Vision and Pattern Recognition 2 works
- 6 Advanced Vision and Imaging Computer Vision and Pattern Recognition 2 works
- 7 Robot Manipulation and Learning Control and Systems Engineering 2 works
- 8 Electric and Hybrid Vehicle Technologies Automotive Engineering 2 works
- 9 Advanced Battery Technologies Research Automotive Engineering 2 works
- 10 Traffic control and management Control and Systems Engineering 2 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 JAC Motors (China)'s research output changed?
Output in 2022-2025 was 165% 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 JAC Motors (China) as a percentage of every work published that year, 0.00031% in 2024.
Fractional works of JAC Motors (China) over all fractional works that year. How the balance of science has shifted.
How much of it reaches the world top 10%
Year by year, against all institutions in the same year.
Of each year's output, the share that reached the world's 10% most cited for its field and year. Peak 9.3% in 2025.
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
- Anhui University of Traditional Chinese Medicine
- Anhui Jianzhu University
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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