Fengwei Yu
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Advanced Image Processing Techniques
- Video Surveillance and Tracking Methods
- Computational Mathematics top 10%
Papers in
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- Advanced Neural Network Applications 14
- Advanced Image and Video Retrieval Techniques 7
- Multimodal Machine Learning Applications 1
- Image Enhancement Techniques 1
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- Domain Adaptation and Few-Shot Learning 11
- Adversarial Robustness in Machine Learning 2
- Neural Networks and Applications 2
- Co-authors
- Ruihao Gong (11 shared papers)Xianglong Liu (4 shared papers)Ziwei Liu (1 shared paper)Wei Wu (1 shared paper)Shaopeng Guo (1 shared paper)Kun Yuan (1 shared paper)Aojun Zhou (1 shared paper)Junjie Yan (3 shared papers)
- Journals
- IEEE Transactions on Signal Processing (2 papers)International Journal of Computer Vision (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (3 papers)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Fengwei Yu
17 papers receiving 1.2k citations
Fengwei Yu's Hit Papers
Peers
Comparison fields: 5 of 88
- Computer Vision and Pattern Recognition 839
- Computational Mathematics 11
- Artificial Intelligence 544
- Media Technology 137
- Neurology 56
Countries citing papers authored by Fengwei Yu
This map shows the geographic impact of Fengwei Yu'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 Fengwei Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fengwei Yu more than expected).
Fields of papers citing papers by Fengwei Yu
This network shows the impact of papers produced by Fengwei Yu. 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 Fengwei Yu. The network helps show where Fengwei Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Fengwei Yu, 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 | Incorporating Convolution Designs into Visual Transformers Hit paper breakdown → | 2021 | 385 |
| 2 | 2019 | 253 | |
| 3 | 2020 | 209 | |
| 4 | 2020 | 101 | |
| 5 | 2022 | 92 | |
| 6 | 2021 | 54 | |
| 7 | 2021 | 21 | |
| 8 | 2023 | 18 | |
| 9 | 2021 | 16 | |
| 10 | 2021 | 14 | |
| 11 | 2020 | 11 | |
| 12 | 2022 | 10 | |
| 13 | 1994 | 9 | |
| 14 | 2023 | 7 | |
| 15 | IR-Net: Forward and Backward Information Retention for Highly Accurate Binary Neural Networks | 2019 | 5 |
| 16 | 2023 | 3 | |
| 17 | 2021 | 2 | |
| 18 | 1994 | 0 |
About Fengwei Yu
Fengwei Yu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Networks and Communications and Civil and Structural Engineering, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (14 papers), Domain Adaptation and Few-Shot Learning (11 papers), Advanced Image and Video Retrieval Techniques (7 papers), Adversarial Robustness in Machine Learning (2 papers), Neural Networks and Applications (2 papers), COVID-19 diagnosis using AI (2 papers), Multimodal Machine Learning Applications (1 paper) and Image Enhancement Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (839 citations), Computational Mathematics (11 citations), Artificial Intelligence (544 citations), Media Technology (137 citations) and Neurology (56 citations). Fengwei Yu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Ruihao Gong, Xianglong Liu, Ziwei Liu, Wei Wu, Shaopeng Guo, Kun Yuan, Aojun Zhou, Junjie Yan, Haotong Qin and Mingzhu Shen. Their work appears in journals such as IEEE Transactions on Signal Processing, International Journal of Computer Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.