Pengwei Wang
- Automotive Engineering top 2%
- Autonomous Vehicle Technology and Safety 12
- Electric and Hybrid Vehicle Technologies 10
- Vehicle Dynamics and Control Systems 9
- Advanced Battery Technologies Research 8
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- Traffic control and management 3
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- Robotic Path Planning Algorithms 5
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- Electric Vehicles and Infrastructure 6
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- Mechanical Engineering and Vibrations Research 3
In The Last Decade
Pengwei Wang
30 papers receiving 633 citations
Hit Papers
Peers
Comparison fields: 5 of 60
- Automotive Engineering 462
- Control and Systems Engineering 162
- Computer Vision and Pattern Recognition 120
- Catalysis 34
- Electrical and Electronic Engineering 270
Countries citing papers authored by Pengwei Wang
This map shows the geographic impact of Pengwei 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 Pengwei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pengwei Wang more than expected).
Fields of papers citing papers by Pengwei Wang
This network shows the impact of papers produced by Pengwei 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 Pengwei Wang. The network helps show where Pengwei Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pengwei Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Super Tough Anti‐freezing and Antibacterial Hydrogel With Multi‐crosslinked Network for Flexible Strain Sensorbreakdown → | 2025 | 23 |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 6 | |
| 10 | 2023 | 4 | |
| 11 | 2022 | 12 | |
| 12 | 2022 | 11 | |
| 13 | 2022 | 7 | |
| 14 | 2021 | 97 | |
| 15 | 2020 | 10 | |
| 16 | 2018 | 1 | |
| 17 | A Research on Torque Distribution Strategy for Dual-Motor Four-Wheel-Drive Electric Vehicle Based on Motor Loss Mechanism | 2017 | 4 |
| 18 | 2014 | 6 | |
| 19 | 2013 | 2 | |
| 20 | Aircraft Recognition via Extraction of Closed Contour and Partial Feature Matching | 2006 | 2 |
About Pengwei Wang
Pengwei Wang is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 34 papers that have together received 651 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (12 papers), Electric and Hybrid Vehicle Technologies (10 papers), Vehicle Dynamics and Control Systems (9 papers), Advanced Battery Technologies Research (8 papers), Electric Vehicles and Infrastructure (6 papers), Robotic Path Planning Algorithms (5 papers), Traffic control and management (3 papers) and Mechanical Engineering and Vibrations Research (3 papers). The work is most often cited by research in Automotive Engineering (462 citations), Control and Systems Engineering (162 citations) and Computer Vision and Pattern Recognition (120 citations). Pengwei Wang has collaborated with scholars based in China, Japan and Canada. Frequent co-authors include Furen Zhang, Song Gao, Shuo Cheng, Liang Li, Peiwen Liu, Binbin Sun, Lin Zhao, Ye Liu, Yong Lu and Xin Zhang. Their work appears in journals such as Small, IEEE Access and Sensors.
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.