- Research works
- 60 ▲ 155% vs 2013–17
- Citations
- 695 11.6 per fractional work
- Top-10% rate
- 10.0% record average 16.5%
- Open access
- 33% world 28%
Not ranked overall: Shenzhen Urban Transport Planning Center Co. is under the volume floor below which an excellence rate is noise. Not ranked is not the same as ranked last.
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, 3.8×. Every wedge is a field page.
Who are the top researchers at Shenzhen Urban Transport Planning Center Co.?
Ranked on the composite score, Zhenwu Chen lead among researchers whose main affiliation is Shenzhen Urban Transport Planning Center Co..
- 1 Zhenwu Chen ?? · #1,368,385 worldwide 41 citations · 16 works
Which keywords describe research at Shenzhen Urban Transport Planning Center Co.?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Intelligent Transportation Systems, Traffic Flow, Neural Networks, Urban Traffic, Probabilistic Forecasting, Short-Term Forecasting and Spatio-Temporal Data.
- Shared Autonomous Vehicles
- Spatial Analysis
- IoT
- Human Mobility
- Crack Detection
- Defect Detection
- Microscopic Simulation
- Service Quality
- Convolutional Neural Networks
- Spatio-Temporal Data
- Probabilistic Forecasting
- Neural Networks
- Intelligent Transportation Systems
- Deep Learning
- Traffic Flow
- Urban Traffic
- Short-Term Forecasting
- Travel Behavior
- Public Transport
- Cooperative Adaptive Cruise Control
- Machine Learning
- Image Processing
- GPS Data
- Pavement
- Environmental Impacts
- Ridesharing
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 26 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 26 words, with their numbers
- Deep Learning9▲ 8.8×17 topics
- Intelligent Transportation Systems7▲ 155×4 topics
- Traffic Flow7▲ 207×2 topics
- Neural Networks5▲ 11×3 topics
- Urban Traffic5▲ 126×2 topics
- Probabilistic Forecasting5▲ 76×2 topics
- Short-Term Forecasting4▲ 102×1 topic
- Spatio-Temporal Data4▲ 223×1 topic
- Travel Behavior4▲ 132×2 topics
- Convolutional Neural Networks3▲ 12×4 topics
- Public Transport3▲ 141×1 topic
- Service Quality3▲ 30×1 topic
- Cooperative Adaptive Cruise Control2▲ 181×1 topic
- Microscopic Simulation2▲ 181×1 topic
- Machine Learning2▲ 1.82×5 topics
- Defect Detection2▲ 38×2 topics
- Image Processing2▲ 11×3 topics
- Crack Detection1▲ 59×1 topic
- GPS Data1▲ 109×1 topic
- Human Mobility1▲ 109×1 topic
- Pavement1▲ 59×1 topic
- IoT1▲ 10×3 topics
- Environmental Impacts1▲ 13×2 topics
- Spatial Analysis1▲ 38×3 topics
- Ridesharing1▲ 60×1 topic
- Shared Autonomous Vehicles1▲ 60×1 topic
Which research topics does Shenzhen Urban Transport Planning Center Co. publish most on?
By volume in 2022–2025: Traffic Prediction and Management Techniques, Transportation Planning and Optimization, Traffic control and management and Infrastructure Maintenance and Monitoring.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Traffic Prediction and Management Techniques Building and Construction 4 works
- 2 Transportation Planning and Optimization Transportation 3 works
- 3 Traffic control and management Control and Systems Engineering 2 works
- 4 Infrastructure Maintenance and Monitoring Civil and Structural Engineering 1 works
- 5 Human Mobility and Location-Based Analysis Transportation 1 works
- 6 Transportation and Mobility Innovations Automotive Engineering 1 works
- 7 Traffic and Road Safety Safety, Risk, Reliability and Quality 1 works
- 8 Evaluation Methods in Various Fields Ecological Modeling 1 works
- 9 Urban Transport and Accessibility Transportation 1 works
- 10 Autonomous Vehicle Technology and Safety 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 Shenzhen Urban Transport Planning Center Co.'s research output changed?
Output in 2018–2022 was 155% 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 Shenzhen
- Ping An (China)
- Eighth Affiliated Hospital of Sun Yat-sen University
- Shenzhen MSU-BIT University
- BGI Genomics
- Shenzhen Chipscreen Biosciences Co.
- Shenzhen Ruipuxun Academy for Stem Cell & Regenerative Medicine
- GMT Technology (Shenzhen) Co., Ltd. (China)
- MGI
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.