Guyue Hu
Impact in
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- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
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- Hand Gesture Recognition Systems
Papers in
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- Advanced Neural Network Applications 4
- Human Pose and Action Recognition 3
- Multimodal Machine Learning Applications 3
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- Domain Adaptation and Few-Shot Learning 5
- Anomaly Detection Techniques and Applications 3
- Co-authors
- Bo Cui (4 shared papers)Shan Yu (6 shared papers)Xiao Wang (1 shared paper)Xu Wang (2 shared papers)Yuehua Dai (2 shared papers)Qirun Wang (4 shared papers)Hanwang Zhang (1 shared paper)Hongyi Chen (1 shared paper)
In The Last Decade
Guyue Hu
27 papers receiving 203 citations
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 82
- Human-Computer Interaction 18
- Global and Planetary Change 34
- Artificial Intelligence 48
- Transportation 8
Countries citing papers authored by Guyue Hu
This map shows the geographic impact of Guyue Hu'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 Guyue Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guyue Hu more than expected).
Fields of papers citing papers by Guyue Hu
This network shows the impact of papers produced by Guyue Hu. 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 Guyue Hu. The network helps show where Guyue Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Guyue Hu, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 31 | |
| 2 | 2024 | 31 | |
| 3 | 2019 | 30 | |
| 4 | 2015 | 16 | |
| 5 | 2021 | 10 | |
| 6 | 2022 | 10 | |
| 7 | 2021 | 10 | |
| 8 | 2022 | 9 | |
| 9 | 2020 | 7 | |
| 10 | 2023 | 6 | |
| 11 | 2022 | 6 | |
| 12 | 2023 | 5 | |
| 13 | 2019 | 4 | |
| 14 | 2022 | 4 | |
| 15 | 2024 | 4 | |
| 16 | 2019 | 4 | |
| 17 | 2025 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2025 | 2 | |
| 20 | A global evaluation of harmonic analysis of time series under distrinct gap conditions | 2013 | 2 |
About Guyue Hu
Guyue Hu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Polymers and Plastics and Electrical and Electronic Engineering, having authored 29 papers that have together received 206 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (5 papers), Advanced Neural Network Applications (4 papers), Remote Sensing in Agriculture (3 papers), Human Pose and Action Recognition (3 papers), Anomaly Detection Techniques and Applications (3 papers), Multimodal Machine Learning Applications (3 papers), Polymer composites and self-healing (3 papers) and Neural dynamics and brain function (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (82 citations), Human-Computer Interaction (18 citations), Global and Planetary Change (34 citations), Artificial Intelligence (48 citations) and Transportation (8 citations). Guyue Hu has collaborated with scholars based in China, Singapore and Germany. Frequent co-authors include Bo Cui, Shan Yu, Xiao Wang, Xu Wang, Yuehua Dai, Qirun Wang, Hanwang Zhang, Hongyi Chen, Ainong Li and Tianzi Jiang. Their work appears in journals such as Journal of Applied Polymer Science, IEEE Transactions on Multimedia, Remote Sensing, Analytical Chemistry and Ecological Indicators.
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.