China Academy of Transportation Sciences
In research, China Academy of Transportation Sciences stands highest in Engineering (#3,736 of 6,636 worldwide), Physical Sciences (#8,102 of 12,888 worldwide) and Social Sciences (#10,006 of 10,521 worldwide), 2022–2025. Relative to its size it is most specialised in Transportation and Automotive Engineering — Transportation is 25.3× its share of world research.
- World rank, 2022–2025
- #15,386 of 28,054 · #23,484 all time
- Rank in China
- #2,467 of 3,058
- Research works
- 1k ▲ 36% vs 2013–17
- Citations
- 4.2k 4.2 per fractional work
- Top-10% rate
- 10.5% record average 16.5%
- Open access
- 29% world 28%
What is China Academy of Transportation Sciences 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 |
|---|---|---|---|---|---|
| EngineeringField | #3,736 of 6,636 | 8.5% | 129 | #5748 | |
| Physical SciencesDomain | #8,102 of 12,888 | 10.5% | 193 | #13239 | |
| Social SciencesDomain | #10,006 of 10,521 | 9.7% | 63 | #15399 |
Each strip is that field’s whole ranked pool, with the notch where China Academy of Transportation Sciences 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).
Which of those standings moved
The same fields on both windows: where it stood over the whole record, and where it stands in 2022–2025. The distance is the story, and it is the one thing the two rank columns above cannot show.
- Engineering#5,748 #3,736
- Physical Sciences#13,239 #8,102
- Social Sciences#15,399 #10,006
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does China Academy of Transportation Sciences specialise in?
Where its research is concentrated relative to its size: Transportation takes 25.3× the share of its output that it takes of world research.
- TransportationSubfield · 22.0 works25×
- Automotive EngineeringSubfield · 21.1 works15×
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: Engineering, 3.3×. Every wedge is a field page.
- Engineering 3.3×
- Environmental Science 2.6×
- Business, Management and Accounting 2.1×
- Decision Sciences 2.1×
- Energy 1.7×
- Social Sciences 0.9×
- Economics, Econometrics and Finance 0.9×
- Chemical Engineering 0.8×
- Earth and Planetary Sciences 0.8×
- Computer Science 0.8×
- Materials Science 0.5×
- Chemistry 0.4×
- Psychology 0.3×
- Health Professions 0.2×
- Arts and Humanities 0.1×
- Physics and Astronomy 0.1×
- Agricultural and Biological Sciences 0.1×
- Biochemistry, Genetics and Molecular Biology 0.1×
- Medicine 0.1×
Who are the top researchers at China Academy of Transportation Sciences?
Ranked on the composite score, Haiyang Wang and Yulin Jiang lead among researchers whose main affiliation is China Academy of Transportation Sciences.
- 1 Haiyang Wang China · #1,192,367 worldwide 55 citations · 21 works
- 2 Yulin Jiang China · #1,543,205 worldwide 7 citations · 24 works
Which keywords describe research at China Academy of Transportation Sciences?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Risk Assessment, Intelligent Transportation Systems, Supply Chain, Traffic Flow, Travel Behavior, Deep Learning, Public Transport and Urban Mobility.
- Ridesharing
- Simulation
- Refuge Chamber
- Transportation
- Maritime Transportation
- Neural Network
- Vehicle Emissions
- CO2 Emissions
- Spatio-Temporal Data
- Short-Term Forecasting
- Environmental Impacts
- Urban Traffic
- Traffic Safety
- Service Quality
- User Satisfaction
- Public Transport
- Sustainability
- Traffic Flow
- Environmental Impact
- Risk Assessment
- Deep Learning
- Intelligent Transportation Systems
- Supply Chain
- Travel Behavior
- Neural Networks
- Urban Mobility
- Route Choice
- Logistics
- Fuel Consumption
- Coal Mine
- Probabilistic Forecasting
- Graph Convolutional Networks
- Internet of Things
- Eco-Driving
- Digital Technologies
- Water Quality
- Collision Avoidance
- Emergency Management
- Health Impact Assessment
- Big Data Analytics
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 Learning25▲ 2.8×26 topics
- Risk Assessment22▲ 12×9 topics
- Intelligent Transportation Systems18▲ 46×4 topics
- Environmental Impact16▲ 3.5×20 topics
- Supply Chain16▲ 28×5 topics
- Traffic Flow16▲ 56×2 topics
- Travel Behavior15▲ 63×2 topics
- Sustainability15▲ 2.4×24 topics
- Neural Networks14▲ 3.6×11 topics
- Public Transport14▲ 88×2 topics
- Urban Mobility14▲ 88×2 topics
- User Satisfaction13▲ 26×3 topics
- Route Choice13▲ 89×1 topic
- Service Quality13▲ 19×1 topic
- Logistics13▲ 30×7 topics
- Traffic Safety13▲ 215×3 topics
- Fuel Consumption12▲ 61×2 topics
- Urban Traffic11▲ 36×3 topics
- Coal Mine11▲ 370×2 topics
- Environmental Impacts11▲ 15×4 topics
- Probabilistic Forecasting11▲ 21×2 topics
- Short-Term Forecasting11▲ 29×2 topics
- Graph Convolutional Networks11▲ 36×1 topic
- Spatio-Temporal Data11▲ 63×1 topic
- Internet of Things10▲ 4.5×16 topics
- CO2 Emissions10▲ 21×2 topics
- Eco-Driving9▲ 68×1 topic
- Vehicle Emissions9▲ 68×1 topic
- Digital Technologies8▲ 22×4 topics
- Neural Network8▲ 16×5 topics
- Water Quality8▲ 7.2×4 topics
- Maritime Transportation7▲ 52×2 topics
- Collision Avoidance7▲ 14×4 topics
- Transportation7▲ 14×4 topics
- Emergency Management7▲ 47×1 topic
- Refuge Chamber7▲ 419×1 topic
- Health Impact Assessment7▲ 30×2 topics
- Simulation6▲ 9.5×4 topics
- Big Data Analytics6▲ 11×3 topics
- Ridesharing6▲ 43×1 topic
Which research topics does China Academy of Transportation Sciences publish most on?
By volume in 2022–2025: Transportation Planning and Optimization, Traffic Prediction and Management Techniques, Vehicle emissions and performance and Safety and Risk Management.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Transportation Planning and Optimization Transportation 13 works
- 2 Traffic Prediction and Management Techniques Building and Construction 11 works
- 3 Vehicle emissions and performance Automotive Engineering 9 works
- 4 Safety and Risk Management Organizational Behavior and Human Resource Management 7 works
- 5 Transportation and Mobility Innovations Automotive Engineering 6 works
- 6 Urban Transport and Accessibility Transportation 6 works
- 7 E-commerce and Technology Innovations Business and International Management 6 works
- 8 Traffic control and management Control and Systems Engineering 5 works
- 9 Maritime Ports and Logistics Industrial and Manufacturing Engineering 4 works
- 10 Maritime Navigation and Safety Ocean Engineering 4 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 China Academy of Transportation Sciences's research output changed?
Output in 2018–2022 was 36% 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
- Chinese Academy of Sciences
- Tsinghua University
- Peking University
- University of Chinese Academy of Sciences
- Beihang University
- Beijing Institute of Technology
- Chinese Academy of Medical Sciences & Peking Union Medical College
- North China Electric Power University
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.