Chenyang Si
Impact in
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- Human Pose and Action Recognition
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Aging top 10%
Papers in ⓘ
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- Multimodal Machine Learning Applications 7
- Human Pose and Action Recognition 7
- Video Surveillance and Tracking Methods 5
- Generative Adversarial Networks and Image Synthesis 5
- Advanced Vision and Imaging 5
- Aging 1
- Co-authors
- Xinchao Wang (2 shared papers)Mi Luo (2 shared papers)Jiashi Feng (2 shared papers)Weihao Yu (2 shared papers)Yichen Zhou (2 shared papers)Pan Zhou (2 shared papers)Shuicheng Yan (2 shared papers)Liang Wang (8 shared papers)
- Journals
- Pattern Recognition (2 papers)Scientific Reports (1 paper)Protein & Cell (1 paper)Human Molecular Genetics (1 paper)Nature Communications (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Chenyang Si
32 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Computer Vision and Pattern Recognition 838
- Aging 33
- Media Technology 154
- Business and International Management 28
- Artificial Intelligence 305
Countries citing papers authored by Chenyang Si
This map shows the geographic impact of Chenyang Si'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 Chenyang Si with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenyang Si more than expected).
Fields of papers citing papers by Chenyang Si
This network shows the impact of papers produced by Chenyang Si. 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 Chenyang Si. The network helps show where Chenyang Si may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenyang Si, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | MetaFormer is Actually What You Need for Vision Hit paper breakdown → | 2022 | 687 |
| 2 | 2015 | 180 | |
| 3 | 2020 | 108 | |
| 4 | 2023 | 90 | |
| 5 | 2021 | 73 | |
| 6 | 2020 | 67 | |
| 7 | VBench: Comprehensive Benchmark Suite for Video Generative Models Hit paper breakdown → | 2024 | 56 |
| 8 | 2020 | 51 | |
| 9 | FreeU: Free Lunch in Diffusion U-Net Hit paper breakdown → | 2024 | 50 |
| 10 | 2021 | 38 | |
| 11 | 2018 | 36 | |
| 12 | 2017 | 35 | |
| 13 | 2024 | 25 | |
| 14 | 2023 | 24 | |
| 15 | 2015 | 15 | |
| 16 | 2021 | 14 | |
| 17 | 2018 | 14 | |
| 18 | 2020 | 14 | |
| 19 | 2024 | 13 | |
| 20 | 2022 | 13 |
About Chenyang Si
Chenyang Si is a scholar working on Computer Vision and Pattern Recognition, Aging, Developmental Neuroscience, Artificial Intelligence and Signal Processing, having authored 34 papers that have together received 1.7k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (7 papers), CRISPR and Genetic Engineering (7 papers), Human Pose and Action Recognition (7 papers), Domain Adaptation and Few-Shot Learning (5 papers), Video Surveillance and Tracking Methods (5 papers), Generative Adversarial Networks and Image Synthesis (5 papers), Pluripotent Stem Cells Research (5 papers) and Advanced Vision and Imaging (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (838 citations), Aging (33 citations), Media Technology (154 citations), Business and International Management (28 citations) and Artificial Intelligence (305 citations). Chenyang Si has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Xinchao Wang, Mi Luo, Jiashi Feng, Weihao Yu, Yichen Zhou, Pan Zhou, Shuicheng Yan, Liang Wang, Weizhi Ji and Yuyu Niu. Their work appears in journals such as Pattern Recognition, Scientific Reports, Protein & Cell, Human Molecular Genetics and Nature Communications.
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.