Kui Yang

19 papers receiving 383 citations

Peers

Kui Yang
Comparison fields: 5 of 58
  • Safety, Risk, Reliability and Quality 284
  • Building and Construction 198
  • Transportation 79
  • Automotive Engineering 115
  • Control and Systems Engineering 115
Replace Qiangqiang Shangguan with:
Qiangqiang Shangguan China
Navid Nadimi Iran
Jeffery Archer Australia
Jarvis Autey Canada
Amin Mohammadnazar United States
John Hourdos United States
Ninad Gore India
Mariusz Kieć Poland
Shunying Zhu China
Amir Sobhani Australia
Kui Yang relative to Qiangqiang Shangguan China Qiangqiang Shangguan's profile →
Citations per field
00.5×11.8×
Qiangqiang Shangguan · 1×
Citations per year

Countries citing papers authored by Kui Yang

Since Specialization
Citations

This map shows the geographic impact of Kui Yang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kui Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kui Yang more than expected).

Fields of papers citing papers by Kui Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kui Yang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kui Yang. The network helps show where Kui Yang may publish in the future.

Co-authors

The 20 scholars most cited alongside Kui Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kui Yang Line = papers co-authored together Kui Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201877
2 201865
3 201655
4 202229
5 201828
6 202126
7 202026
8 202224
9 202215
10 202110
11 20178
12 20237
13
Deep Learning for Real-Time Crash Prediction on Urban Expressways
20185
14 20245
15 20175
16 20213
17
Predicting Real-Time Crash Risk on Urban Expressways Using Recurrent Neural Network
20192
18
A Study on Threshold Selection Method for Real-Time Crash Prediction
20162
19 20111
20 20140

About Kui Yang

Kui Yang is a scholar working on Safety, Risk, Reliability and Quality, Building and Construction, Civil and Structural Engineering, Automotive Engineering and Social Psychology, having authored 20 papers that have together received 393 indexed citations. Recurring topics across this work include Traffic and Road Safety (15 papers), Traffic Prediction and Management Techniques (12 papers), Infrastructure Maintenance and Monitoring (4 papers), Autonomous Vehicle Technology and Safety (4 papers), Traffic control and management (4 papers), Human-Automation Interaction and Safety (3 papers), Transportation Safety and Impact Analysis (2 papers) and Urban Transport and Accessibility (2 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (284 citations), Building and Construction (198 citations), Transportation (79 citations), Automotive Engineering (115 citations) and Control and Systems Engineering (115 citations). Kui Yang has collaborated with scholars based in China, Germany and United Kingdom. Frequent co-authors include Rongjie Yu, Xuesong Wang, Mohammed Quddus, Constantinos Antoniou, Mohamed Abdel‐Aty, Christelle Al Haddad, George Yannis, Wenjing Zhao, Helai Huang and Zhuanglin Ma. Their work appears in journals such as Accident Analysis & Prevention, Transportation Research Part C Emerging Technologies, Transportation Research Part A Policy and Practice, Safety and IEEE Open Journal of Intelligent Transportation Systems.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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