Chaozhong Wu

3.7k total citations
149 papers, 2.7k citations indexed

About

Chaozhong Wu is a scholar working on Automotive Engineering, Control and Systems Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Chaozhong Wu has authored 149 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Automotive Engineering, 49 papers in Control and Systems Engineering and 48 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Chaozhong Wu's work include Traffic and Road Safety (47 papers), Autonomous Vehicle Technology and Safety (41 papers) and Traffic control and management (38 papers). Chaozhong Wu is often cited by papers focused on Traffic and Road Safety (47 papers), Autonomous Vehicle Technology and Safety (41 papers) and Traffic control and management (38 papers). Chaozhong Wu collaborates with scholars based in China, United States and Canada. Chaozhong Wu's co-authors include Duanfeng Chu, Yi He, Hui Zhang, Nengchao Lyu, Xinping Yan, Zhijun Chen, Charles Atombo, Ming Zhong, Yishi Zhang and Zejian Deng and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Chaozhong Wu

144 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chaozhong Wu China 31 962 744 713 420 401 149 2.7k
Ching‐Yao Chan United States 32 1.7k 1.8× 745 1.0× 1.3k 1.8× 394 0.9× 453 1.1× 168 3.4k
Wuhong Wang China 27 452 0.5× 523 0.7× 556 0.8× 266 0.6× 636 1.6× 107 2.4k
Zhigang Xu China 29 1.5k 1.6× 419 0.6× 1.1k 1.6× 631 1.5× 553 1.4× 140 3.1k
Nidhi Kalra India 22 1.5k 1.5× 459 0.6× 640 0.9× 549 1.3× 330 0.8× 107 3.7k
Jianping Wu China 32 598 0.6× 524 0.7× 780 1.1× 145 0.3× 822 2.0× 222 3.2k
Wei Hao China 32 859 0.9× 887 1.2× 944 1.3× 209 0.5× 1.1k 2.7× 135 3.1k
Guofa Li China 35 1.6k 1.6× 855 1.1× 898 1.3× 763 1.8× 229 0.6× 181 4.2k
Kun Xie United States 31 668 0.7× 1.1k 1.5× 450 0.6× 142 0.3× 1.0k 2.5× 155 2.7k
Daiheng Ni United States 26 738 0.8× 467 0.6× 1.3k 1.8× 138 0.3× 805 2.0× 111 2.2k

Countries citing papers authored by Chaozhong Wu

Since Specialization
Citations

This map shows the geographic impact of Chaozhong Wu'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 Chaozhong Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaozhong Wu more than expected).

Fields of papers citing papers by Chaozhong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chaozhong Wu. 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 Chaozhong Wu. The network helps show where Chaozhong Wu may publish in the future.

Co-authorship network of co-authors of Chaozhong Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Chaozhong Wu. A scholar is included among the top collaborators of Chaozhong Wu 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 Chaozhong Wu. Chaozhong Wu 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.
Qiu, Tony Z., et al.. (2025). A framework for analyzing driver safety-efficiency trade-offs at uncontrolled crosswalks: Towards social vehicle automation. Safety Science. 187. 106860–106860. 3 indexed citations
2.
Zhang, Kun, Y. Bao, Feipeng Zhu, et al.. (2025). Ultra-lightweight porous ceramic–polymer composites with enhanced strength and dielectric temperature stability for temperature-stable antennas. Ceramics International. 51(18). 25351–25360.
3.
Huang, Yan, et al.. (2025). Characterizing driver fingerprinting of new energy vehicles in risky scenarios: A naturalistic driving study. Green Energy and Intelligent Transportation. 4(6). 100320–100320.
4.
Wu, Chaozhong, et al.. (2024). A dynamics model for Self-Propelled Modular Transporter*. 527–532. 1 indexed citations
5.
Liu, Yongjie, et al.. (2024). Safety evaluation and prediction of takeover performance in automated driving considering drivers’ cognitive load: A driving simulator study. Transportation Research Part F Traffic Psychology and Behaviour. 103. 35–52. 10 indexed citations
6.
Wen, Jianghui, et al.. (2023). Risky driving behavior propagation: A novel stochastic SIR model and two-stage risk quantification method. Physica A Statistical Mechanics and its Applications. 629. 129192–129192. 2 indexed citations
7.
Lyu, Nengchao, et al.. (2021). Using naturalistic driving data to identify driving style based on longitudinal driving operation conditions. SHILAP Revista de lepidopterología. 5(1). 17–35. 48 indexed citations
8.
Özkan, Türker, et al.. (2020). Traffic climate and driver behaviors: The moderating role of driving skills in Turkey and China. Journal of Safety Research. 75. 87–98. 21 indexed citations
9.
Wu, Chaozhong, et al.. (2019). Research on Maximum Driving Time Based on Driving Fatigue Model from Field Experiment. 1068–1073. 3 indexed citations
10.
Özkan, Türker, et al.. (2019). How drivers perceive traffic? How they behave in traffic of Turkey and China?. Transportation Research Part F Traffic Psychology and Behaviour. 64. 463–471. 17 indexed citations
11.
Xie, Lian, et al.. (2018). Effects of Alignment, Traffic Flow, and Sign Information on Subjective Workload and Driving Performance in Freeway: A Case Study in China. Transportation Research Board 97th Annual MeetingTransportation Research Board. 1 indexed citations
12.
Wu, Chaozhong, et al.. (2017). Investigating the Relationship Between Driving Skills, Driving Experience and Aggressive Driving Behaviors in China. Transportation Research Board 96th Annual MeetingTransportation Research Board. 4 indexed citations
13.
Qin, Lingqiao, et al.. (2017). A Novel Feature Extraction Model for Traffic Injury Severity and Its Application to FARS Data Analysis. Transportation Research Board 96th Annual MeetingTransportation Research Board. 1 indexed citations
14.
Deng, Zejian, Duanfeng Chu, Yi He, et al.. (2017). Online estimation for vehicle center of gravity height based on unscented Kalman filter. 33–36. 12 indexed citations
15.
Lyu, Nengchao, et al.. (2016). Research and Design of a Road Cones Vehicle for Traffic Incident Disposal. 1777–1785. 1 indexed citations
16.
Zheng, Ke, et al.. (2015). A Special Laboratory Method For Inducing Driving Anger: Based On The Virtual Scene. Transportation Research Board 94th Annual MeetingTransportation Research Board. 1 indexed citations
17.
Chen, Zhijun, Chaozhong Wu, Nengchao Lyu, Gang Liu, & Yi He. (2014). Pedestrian-vehicular collision avoidance based on vision system. 11–15. 14 indexed citations
18.
Ma, Jie, et al.. (2013). Vehicle Dynamic State Estimation Using Smartphone Embedded Sensors. SHILAP Revista de lepidopterología. 1 indexed citations
19.
Zheng, Huarong, Zhen Huang, Chaozhong Wu, & Rudy R. Negenborn. (2013). Model Predictive Control for Intelligent Vehicle Lane Change. 2. 265–276. 13 indexed citations
20.
Zhang, Gexiang, Marian Gheorghe, & Chaozhong Wu. (2008). A Quantum-Inspired Evolutionary Algorithm Based on P systems for Knapsack Problem. Fundamenta Informaticae. 87(1). 93–116. 87 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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2026