Chaozhong Wu

3.7k citations
149 papers · 2.7k indexed · h-index 31

Chaozhong Wu

144 papers receiving 2.6k citations

Peers

Chaozhong Wu
Comparison fields: 5 of 139
  • Safety, Risk, Reliability and Quality 744
  • Automotive Engineering 962
  • Transportation 401
  • Control and Systems Engineering 713
  • Building and Construction 357
Replace Nidhi Kalra with:
Nidhi Kalra India
Guofa Li China
Wei Hao China
Wuhong Wang China
Saiedeh Razavi Canada
Zhigang Xu China
Kun Xie United States
Jianping Wu China
Salvatore Cafiso Italy
Chaozhong Wu relative to Nidhi Kalra India Nidhi Kalra's profile →
Citations per field
00.5×1.5×2.4×
Nidhi Kalra · 1×
Citations per year

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

The 25 scholars most cited alongside Chaozhong Wu, 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 Chaozhong Wu Line = papers co-authored together Chaozhong Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20253
2 20250
3 20250
4 20251
5 20241
6 202410
7 20245
8 20232
9 202021
10 20207
11 20193
12 201998
13 20181
14 201712
15
A Novel Feature Extraction Model for Traffic Injury Severity and Its Application to FARS Data Analysis
20171
16
Investigating the Relationship Between Driving Skills, Driving Experience and Aggressive Driving Behaviors in China
20174
17 20161
18
A Special Laboratory Method For Inducing Driving Anger: Based On The Virtual Scene
20151
19
Vehicle Dynamic State Estimation Using Smartphone Embedded Sensors
20131
20
A Quantum-Inspired Evolutionary Algorithm Based on P systems for Knapsack Problem
200887

About Chaozhong Wu

Chaozhong Wu is a scholar working on Automotive Engineering, Safety, Risk, Reliability and Quality and Transportation, having authored 149 papers that have together received 2.7k indexed citations. Recurring topics across this work include Traffic and Road Safety (47 papers), Autonomous Vehicle Technology and Safety (41 papers), Traffic control and management (38 papers), Traffic Prediction and Management Techniques (27 papers), Vehicle emissions and performance (23 papers), Transportation Planning and Optimization (18 papers), Human-Automation Interaction and Safety (17 papers) and Sleep and Work-Related Fatigue (17 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (744 citations), Automotive Engineering (962 citations) and Transportation (401 citations). Chaozhong Wu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Duanfeng Chu, Yi He, Hui Zhang, Nengchao Lyu, Xinping Yan, Zhijun Chen, Ming Zhong, Charles Atombo, Yishi Zhang and Zejian Deng. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.

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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