Transport Systems and Technology
Transport Systems and Technology is a research topic within Mechanical Engineering. Science Explorer counts 7.4k research works in it since 1950. 9.1% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the advancements in Weigh-in-Motion (WIM) technology, including the development and application of sensors, dynamic compensation methods, vehicle weight enforcement systems, axle load sensors, and traffic monitoring systems. It also explores the use of piezoelectric sensors and intelligent transport systems for accurate measurement and enforcement of vehicle weights on highways.
- Weigh-in-Motion
- Sensors
- Dynamic Compensation
- Vehicle Weight Enforcement
- Axle Load Sensors
- Traffic Monitoring Systems
- Piezoelectric Sensors
- Dynamic Weighing System
- Intelligent Transport Systems
- Highway Vehicles
- Research works
- 7.4k fractional, since 1950
- In the world top 10%
- 677 per year above
- Top-10% rate
- 9.1% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +7% the tick is no change
Which countries lead Transport Systems and Technology research?
By volume, China and the United States publish the most (328 and 156 works in 2022–2025).
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Transport Systems and Technology research?
By volume in 2022–2025, Chang'an University publishes the most Transport Systems and Technology research, followed by Tongji University and Southeast University.
By volume, 2022–2025
- 1 Chang'an UniversityChina 16 works
- 2 Tongji UniversityChina 14 works
- 3 Southeast UniversityChina 13 works
- 4 Changsha University of Science and TechnologyChina 12 works
- 5 Jilin UniversityChina 6 works
- 6 Harbin Institute of TechnologyChina 6 works
- 7 Southwest Jiaotong UniversityChina 6 works
- 8 Wuhan University of TechnologyChina 6 works
- 9 University of Technology - IraqIraq 5 works
- 10 North Carolina State UniversityUnited States 5 works
Where is Transport Systems and Technology research done?
The largest centres of Transport Systems and Technology research in 2022–2025 are Beijing (China), Shanghai (China), Xi'an (China) and Nanjing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Xi'an.
Largest cities, 2022–2025
Where it is the local speciality
- Xi'anCN · 25.0 works2.8×
Location quotient: how much more of its research is in Transport Systems and Technology than the world average.
Where is the best place to study Transport Systems and Technology?
Among universities, judged by research, Chang'an University, Southeast University and Tongji University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Chang'an UniversityChina | 79.8 | 23.1% | 37.1× | 16 | -45.7% |
| 2 | Southeast UniversityChina | 45.3 | 18.8% | 8.1× | 13 | +15.2% |
| 3 | Tongji UniversityChina | 38.2 | 16.3% | 9.2× | 14 | -51.1% |
| 4 | Changsha University of Science and TechnologyChina | 25.0 | 13.2% | 41.4× | 12 | -70.6% |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is Transport Systems and Technology research growing?
Output in 2018–2022 was 7% higher than in 2013–2017, peaking in 2024. The fastest-growing topics are Transport Systems and Technology.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.