Yipeng Gao
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Media Technology top 10%
- Remote-Sensing Image Classification
Papers in
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- Advanced Neural Network Applications 4
- Video Surveillance and Tracking Methods 3
- Multimodal Machine Learning Applications 2
- Advanced Image and Video Retrieval Techniques 1
- Image Enhancement Techniques 1
- Visual Attention and Saliency Detection 1
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- Domain Adaptation and Few-Shot Learning 4
- Natural Language Processing Techniques 1
- Co-authors
- Wei‐Shi Zheng (6 shared papers)Kun-Yu Lin (3 shared papers)Yaowei Wang (2 shared papers)Yu-Ming Tang (1 shared paper)J. Andy (1 shared paper)Junkai Yan (4 shared papers)Yuyin Zhou (1 shared paper)Zeyu Wang (1 shared paper)
- Journals
- IEEE Transactions on Multimedia (1 paper)2022 26th International Conference on Pattern Recognition (ICPR) (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Yipeng Gao
6 papers receiving 193 citations
Yipeng Gao's Hit Papers
Peers
Comparison fields: 5 of 61
- Computer Vision and Pattern Recognition 98
- Media Technology 30
- Industrial and Manufacturing Engineering 20
- Artificial Intelligence 38
- Neurology 8
Countries citing papers authored by Yipeng Gao
This map shows the geographic impact of Yipeng Gao'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 Yipeng Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yipeng Gao more than expected).
Fields of papers citing papers by Yipeng Gao
This network shows the impact of papers produced by Yipeng Gao. 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 Yipeng Gao. The network helps show where Yipeng Gao may publish in the future.
Co-authors
The 12 scholars most cited alongside Yipeng Gao, 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 | DilateFormer: Multi-Scale Dilated Transformer for Visual Recognition Hit paper breakdown → | 2023 | 177 |
| 2 | 2023 | 12 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 1 | |
| 7 | 2023 | 0 |
About Yipeng Gao
Yipeng Gao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Infectious Diseases, Organic Chemistry and Surgery, having authored 7 papers that have together received 196 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (4 papers), Advanced Neural Network Applications (4 papers), Video Surveillance and Tracking Methods (3 papers), Multimodal Machine Learning Applications (2 papers), Advanced Image and Video Retrieval Techniques (1 paper), Image Enhancement Techniques (1 paper), Natural Language Processing Techniques (1 paper) and Visual Attention and Saliency Detection (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (98 citations), Media Technology (30 citations), Industrial and Manufacturing Engineering (20 citations), Artificial Intelligence (38 citations) and Neurology (8 citations). Yipeng Gao has collaborated with scholars based in China and United States. Frequent co-authors include Wei‐Shi Zheng, Kun-Yu Lin, Yaowei Wang, Yu-Ming Tang, J. Andy, Junkai Yan, Yuyin Zhou, Zeyu Wang, Cihang Xie and Xiaohua Xie. Their work appears in journals such as IEEE Transactions on Multimedia and 2022 26th International Conference on Pattern Recognition (ICPR).
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.