Chenyu Wang
Impact in
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
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- Innovative Energy Harvesting Technologies
Papers in
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- Advanced Neural Network Applications 3
- Face and Expression Recognition 2
- Face recognition and analysis 2
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- Energy Harvesting in Wireless Networks 3
- Co-authors
- Chen Chen (3 shared papers)Shaohua Wan (2 shared papers)Ci He (1 shared paper)Cong Li (1 shared paper)Fei Wang (3 shared papers)Kangqi Fan (3 shared papers)Weidong Wang (1 shared paper)Yan Zhang (1 shared paper)
In The Last Decade
Chenyu Wang
9 papers receiving 304 citations
Chenyu Wang's Hit Papers
Peers
Comparison fields: 5 of 54
- Computer Vision and Pattern Recognition 76
- Mechanical Engineering 110
- Electrical and Electronic Engineering 115
- Media Technology 17
- Building and Construction 21
Countries citing papers authored by Chenyu Wang
This map shows the geographic impact of Chenyu 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 Chenyu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenyu Wang more than expected).
Fields of papers citing papers by Chenyu Wang
This network shows the impact of papers produced by Chenyu 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 Chenyu Wang. The network helps show where Chenyu Wang may publish in the future.
Co-authors
The 23 scholars most cited alongside Chenyu 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 | Edge Intelligence Empowered Vehicle Detection and Image Segmentation for Autonomous Vehicles Hit paper breakdown → | 2023 | 132 |
| 2 | 2021 | 60 | |
| 3 | 2021 | 43 | |
| 4 | 2023 | 31 | |
| 5 | 2022 | 25 | |
| 6 | 2023 | 11 | |
| 7 | 2022 | 1 | |
| 8 | 2014 | 1 | |
| 9 | 2015 | 1 | |
| 10 | 2020 | 1 | |
| 11 | 2024 | 0 | |
| 12 | 2025 | 0 |
About Chenyu Wang
Chenyu Wang is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Mechanical Engineering, Artificial Intelligence and Civil and Structural Engineering, having authored 12 papers that have together received 306 indexed citations. Recurring topics across this work include Innovative Energy Harvesting Technologies (3 papers), Energy Harvesting in Wireless Networks (3 papers), Advanced Neural Network Applications (3 papers), Offshore Engineering and Technologies (2 papers), Vibration Control and Rheological Fluids (2 papers), Privacy-Preserving Technologies in Data (2 papers), Face and Expression Recognition (2 papers) and Face recognition and analysis (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (76 citations), Mechanical Engineering (110 citations), Electrical and Electronic Engineering (115 citations), Media Technology (17 citations) and Building and Construction (21 citations). Chenyu Wang has collaborated with scholars based in China, Australia and Sweden. Frequent co-authors include Chen Chen, Shaohua Wan, Ci He, Cong Li, Fei Wang, Kangqi Fan, Weidong Wang, Yan Zhang, Peihong Wang and Ming Xiao. Their work appears in journals such as Renewable Energy, IEEE Transactions on Intelligent Transportation Systems, Digital Communications and Networks, Energy Conversion and Management and Chinese Journal of Electronics.
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.