Kui Yang

519 total citations
20 papers, 393 citations indexed

About

Kui Yang is a scholar working on Safety, Risk, Reliability and Quality, Building and Construction and Civil and Structural Engineering. According to data from OpenAlex, Kui Yang has authored 20 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Safety, Risk, Reliability and Quality, 12 papers in Building and Construction and 6 papers in Civil and Structural Engineering. Recurrent topics in Kui Yang's work include Traffic and Road Safety (15 papers), Traffic Prediction and Management Techniques (12 papers) and Traffic control and management (4 papers). Kui Yang is often cited by papers focused on Traffic and Road Safety (15 papers), Traffic Prediction and Management Techniques (12 papers) and Traffic control and management (4 papers). Kui Yang collaborates with scholars based in China, Germany and United Kingdom. Kui Yang's co-authors include Xuesong Wang, Rongjie Yu, Mohammed Quddus, Constantinos Antoniou, Mohamed Abdel‐Aty, Christelle Al Haddad, George Yannis, Wenjing Zhao, Helai Huang and Jaeyoung Lee and has published in prestigious journals such as Accident Analysis & Prevention, Transportation Research Part C Emerging Technologies and Transportation Research Part A Policy and Practice.

In The Last Decade

Kui Yang

19 papers receiving 383 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kui Yang China 10 284 198 115 115 79 20 393
Qiangqiang Shangguan China 11 218 0.8× 153 0.8× 208 1.8× 138 1.2× 48 0.6× 22 414
Amin Mohammadnazar United States 6 178 0.6× 93 0.5× 171 1.5× 98 0.9× 96 1.2× 11 335
Navid Nadimi Iran 12 303 1.1× 147 0.7× 142 1.2× 137 1.2× 132 1.7× 39 454
John Hourdos United States 10 310 1.1× 249 1.3× 139 1.2× 266 2.3× 174 2.2× 69 496
Ashutosh Arun Australia 9 529 1.9× 236 1.2× 216 1.9× 252 2.2× 127 1.6× 12 635
Shoaib Mahmud Bangladesh 9 402 1.4× 145 0.7× 215 1.9× 248 2.2× 152 1.9× 35 564
Nada Mahmoud United States 10 173 0.6× 166 0.8× 129 1.1× 121 1.1× 120 1.5× 18 352
Edward J. Smaglik United States 12 237 0.8× 231 1.2× 60 0.5× 233 2.0× 237 3.0× 45 490
Rushdi Alsaleh Canada 13 273 1.0× 70 0.4× 131 1.1× 185 1.6× 170 2.2× 19 437
Zeyang Cheng China 11 190 0.7× 221 1.1× 67 0.6× 140 1.2× 186 2.4× 33 429

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-authorship network of co-authors of Kui Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Kui Yang. A scholar is included among the top collaborators of Kui Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kui Yang. Kui Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yang, Kui, et al.. (2024). Adaptive Intervention Algorithms for Advanced Driver Assistance Systems. Safety. 10(1). 10–10. 5 indexed citations
2.
Yang, Kui, et al.. (2023). Application of naturalistic driving data: A systematic review and bibliometric analysis. Accident Analysis & Prevention. 190. 107155–107155. 7 indexed citations
3.
Yang, Kui, Mohammed Quddus, & Constantinos Antoniou. (2022). Developing a new real-time traffic safety management framework for urban expressways utilizing reinforcement learning tree. Accident Analysis & Prevention. 178. 106848–106848. 15 indexed citations
4.
Yang, Kui, et al.. (2022). Development of a conflict risk evaluation model to assess pedestrian safety in interaction with vehicles. Accident Analysis & Prevention. 175. 106773–106773. 24 indexed citations
5.
Yang, Kui, Christelle Al Haddad, George Yannis, & Constantinos Antoniou. (2022). Classification and Evaluation of Driving Behavior Safety Levels: A Driving Simulation Study. IEEE Open Journal of Intelligent Transportation Systems. 3. 111–125. 29 indexed citations
6.
Yang, Kui, Christelle Al Haddad, George Yannis, & Constantinos Antoniou. (2021). Driving Behavior Safety Levels: Classification and Evaluation. 1–6. 10 indexed citations
7.
Zhao, Wenjing, et al.. (2021). The extended theory of planned behavior considering heterogeneity under a connected vehicle environment: A case of uncontrolled non-signalized intersections. Accident Analysis & Prevention. 151. 105934–105934. 26 indexed citations
8.
9.
Zhao, Wenjing, et al.. (2020). Impacts of variable message signs on en-route route choice behavior. Transportation Research Part A Policy and Practice. 139. 335–349. 26 indexed citations
10.
Yang, Kui, Xuesong Wang, Mohammed Quddus, & Rongjie Yu. (2019). Predicting Real-Time Crash Risk on Urban Expressways Using Recurrent Neural Network. Transportation Research Board 98th Annual MeetingTransportation Research Board. 2 indexed citations
11.
Yang, Kui, Xuesong Wang, Mohammed Quddus, & Rongjie Yu. (2018). Deep Learning for Real-Time Crash Prediction on Urban Expressways. Transportation Research Board 97th Annual MeetingTransportation Research Board. 5 indexed citations
12.
Yu, Rongjie, Mohammed Quddus, Xuesong Wang, & Kui Yang. (2018). Impact of data aggregation approaches on the relationships between operating speed and traffic safety. Accident Analysis & Prevention. 120. 304–310. 77 indexed citations
13.
Yang, Kui, et al.. (2018). How to determine an optimal threshold to classify real-time crash-prone traffic conditions?. Accident Analysis & Prevention. 117. 250–261. 28 indexed citations
14.
Yang, Kui, Xuesong Wang, & Rongjie Yu. (2018). A Bayesian dynamic updating approach for urban expressway real-time crash risk evaluation. Transportation Research Part C Emerging Technologies. 96. 192–207. 65 indexed citations
15.
Chen, Xiaohong, Lishengsa Yue, & Kui Yang. (2017). Safety evaluation of overtaken bicycle on a shared bicycle path. 45(2). 215–222. 5 indexed citations
16.
Huang, Zhiqiang, Zhen Gao, Rongjie Yu, Xuesong Wang, & Kui Yang. (2017). Utilizing latent class logit model to predict crash risk. 161–165. 8 indexed citations
17.
Yu, Rongjie, Xuesong Wang, Kui Yang, & Mohamed Abdel‐Aty. (2016). Crash risk analysis for Shanghai urban expressways: A Bayesian semi-parametric modeling approach. Accident Analysis & Prevention. 95(Pt B). 495–502. 55 indexed citations
18.
Yang, Kui, Rongjie Yu, & Xuesong Wang. (2016). A Study on Threshold Selection Method for Real-Time Crash Prediction. Transportation Research Board 95th Annual MeetingTransportation Research Board. 2 indexed citations
19.
Li, Qiang, Kui Yang, & Li Ma. (2014). Data Security Research for Cloud Computing. Applied Mechanics and Materials. 687-691. 2764–2767.
20.
Yang, Kui, et al.. (2011). Extracting semantic relationships for web services based on Wikipedia. 1. 71–76. 1 indexed citations

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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