Huaji Wang
- Automotive Engineering top 0.5%
- Control and Systems Engineering top 2%
- Computer Vision and Pattern Recognition top 2%
- Social Psychology top 5%
- Safety, Risk, Reliability and Quality top 2%
- Co-authors
- Chen LvDongpu CaoYang XingEfstathios VelenisFei‐Yue WangHong WangYifan ZhaoYunfeng Ai
- Topics
- Autonomous Vehicle Technology and Safety (14 papers)Human-Automation Interaction and Safety (11 papers)Vehicle Dynamics and Control Systems (8 papers)
- Cited by
- Automotive EngineeringSafety, Risk, Reliability and QualityComputer Vision and Pattern Recognition
- Journals
- SensorsIEEE Transactions on Vehicular TechnologyIEEE Transactions on Intelligent Transportation Systems
- Partner nations
- United KingdomChinaCanada
In The Last Decade
Huaji Wang
30 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Automotive Engineering 973
- Control and Systems Engineering 403
- Computer Vision and Pattern Recognition 386
- Social Psychology 315
- Safety, Risk, Reliability and Quality 224
Countries citing papers authored by Huaji Wang
This map shows the geographic impact of Huaji Wang'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 Huaji Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huaji Wang more than expected).
Fields of papers citing papers by Huaji Wang
This network shows the impact of papers produced by Huaji Wang. 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 Huaji Wang. The network helps show where Huaji Wang may publish in the future.
Co-authorship network of co-authors of Huaji Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Huaji Wang. A scholar is included among the top collaborators of Huaji Wang 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 Huaji Wang. Huaji Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 37 | |
| 4 | 39 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | Driver Activity Recognition for Intelligent Vehicles: A Deep Learning Approachbreakdown → | 290 |
| 8 | 2 | |
| 9 | 138 | |
| 10 | 28 | |
| 11 | 5 | |
| 12 | 5 | |
| 13 | 38 | |
| 14 | 1 | |
| 15 | 105 | |
| 16 | 14 | |
| 17 | 22 | |
| 18 | 9 | |
| 19 | Midcourse guidance optimal trajectory modification using the second variation | 1 |
| 20 | 9 |
About Huaji Wang
Huaji Wang is a scholar working on Automotive Engineering, Social Psychology and Control and Systems Engineering, having authored 32 papers that have together received 1.5k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (14 papers), Human-Automation Interaction and Safety (11 papers) and Vehicle Dynamics and Control Systems (8 papers). The work is most often cited by research in Automotive Engineering (973 citations), Safety, Risk, Reliability and Quality (224 citations) and Computer Vision and Pattern Recognition (386 citations). Huaji Wang has collaborated with scholars based in United Kingdom, China and Canada. Frequent co-authors include Chen Lv, Dongpu Cao, Yang Xing, Efstathios Velenis, Fei‐Yue Wang, Dongpu Cao, Hong Wang, Yifan Zhao, Yunfeng Ai and Hongyan Guo. Their work appears in journals such as Sensors, IEEE Transactions on Vehicular Technology and IEEE Transactions on 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.