Chenyu Yang
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Advanced Vision and Imaging
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- Robotics and Sensor-Based Localization
- Infrared Target Detection Methodologies
Papers in
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- Speech Recognition and Synthesis 5
- Natural Language Processing Techniques 4
- Speech and dialogue systems 2
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- Multimodal Machine Learning Applications 1
- Co-authors
- Gao Huang (2 shared papers)Hao Tian (1 shared paper)Yu Qiao (1 shared paper)Zhaoxiang Zhang (1 shared paper)Lewei Lu (1 shared paper)Jifeng Dai (1 shared paper)Jie Zhou (1 shared paper)Yuntao Chen (1 shared paper)
In The Last Decade
Chenyu Yang
15 papers receiving 209 citations
Chenyu Yang's Hit Papers
Peers
Comparison fields: 5 of 49
- Computer Vision and Pattern Recognition 133
- Aerospace Engineering 61
- Industrial and Manufacturing Engineering 24
- Automotive Engineering 24
- Transportation 10
Countries citing papers authored by Chenyu Yang
This map shows the geographic impact of Chenyu Yang'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 Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenyu Yang more than expected).
Fields of papers citing papers by Chenyu Yang
This network shows the impact of papers produced by Chenyu Yang. 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 Yang. The network helps show where Chenyu Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenyu Yang, 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 | BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision Hit paper breakdown → | 2023 | 147 |
| 2 | 2022 | 21 | |
| 3 | 2023 | 15 | |
| 4 | 2023 | 5 | |
| 5 | 2020 | 4 | |
| 6 | 2016 | 4 | |
| 7 | 2015 | 4 | |
| 8 | 2023 | 3 | |
| 9 | 2015 | 3 | |
| 10 | 2012 | 3 | |
| 11 | 2022 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2022 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2023 | 0 | |
| 17 | 2022 | 0 | |
| 18 | 2025 | 0 |
About Chenyu Yang
Chenyu Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Signal Processing and Electrical and Electronic Engineering, having authored 18 papers that have together received 215 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (5 papers), Natural Language Processing Techniques (4 papers), Speech and dialogue systems (2 papers), Music and Audio Processing (2 papers), Modular Robots and Swarm Intelligence (2 papers), IoT-based Smart Home Systems (1 paper), Image Processing Techniques and Applications (1 paper) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (133 citations), Aerospace Engineering (61 citations), Industrial and Manufacturing Engineering (24 citations), Automotive Engineering (24 citations) and Transportation (10 citations). Chenyu Yang has collaborated with scholars based in China, Taiwan and Singapore. Frequent co-authors include Gao Huang, Hao Tian, Yu Qiao, Zhaoxiang Zhang, Lewei Lu, Jifeng Dai, Jie Zhou, Yuntao Chen, Chenxin Tao and Hongyang Li. Their work appears in journals such as IEEE Internet of Things Journal, Journal of Global Health, IEEE Robotics and Automation Letters, Transport Policy and IEEE Transactions on Circuits and Systems for Video Technology.
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.