Yue Qiu
Impact in
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- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Image and Signal Denoising Methods
- Video Analysis and Summarization
- Media Technology top 10%
Papers in
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- Multimodal Machine Learning Applications 11
- Advanced Image and Video Retrieval Techniques 10
- Human Pose and Action Recognition 6
- Advanced Neural Network Applications 3
- Image and Signal Denoising Methods 3
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- Domain Adaptation and Few-Shot Learning 3
- Co-authors
- Hirokatsu Kataoka (14 shared papers)Ryota Suzuki (8 shared papers)Yutaka Satoh (10 shared papers)Kenji Iwata (9 shared papers)Chen Tang (4 shared papers)Zhenkun Lei (3 shared papers)Min Xu (2 shared papers)Shengjian Huang (1 shared paper)
In The Last Decade
Yue Qiu
26 papers receiving 251 citations
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 154
- Media Technology 36
- Acoustics and Ultrasonics 2
- Radiation 19
- Signal Processing 21
Countries citing papers authored by Yue Qiu
This map shows the geographic impact of Yue Qiu'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 Yue Qiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yue Qiu more than expected).
Fields of papers citing papers by Yue Qiu
This network shows the impact of papers produced by Yue Qiu. 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 Yue Qiu. The network helps show where Yue Qiu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yue Qiu, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 51 | |
| 2 | 2019 | 35 | |
| 3 | 2019 | 22 | |
| 4 | 2020 | 20 | |
| 5 | 2020 | 20 | |
| 6 | 2020 | 18 | |
| 7 | 2012 | 17 | |
| 8 | 1997 | 17 | |
| 9 | 2018 | 9 | |
| 10 | 2018 | 7 | |
| 11 | Image Generation Associated With Music Data | 2018 | 6 |
| 12 | 2020 | 5 | |
| 13 | 2021 | 5 | |
| 14 | 2024 | 4 | |
| 15 | 2010 | 4 | |
| 16 | 2023 | 4 | |
| 17 | 1996 | 3 | |
| 18 | 2023 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2024 | 2 |
About Yue Qiu
Yue Qiu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Signal Processing and Computational Mechanics, having authored 31 papers that have together received 262 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (11 papers), Advanced Image and Video Retrieval Techniques (10 papers), Human Pose and Action Recognition (6 papers), Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Optical Coherence Tomography Applications (3 papers), 3D Shape Modeling and Analysis (3 papers) and Image and Signal Denoising Methods (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (154 citations), Media Technology (36 citations), Acoustics and Ultrasonics (2 citations), Radiation (19 citations) and Signal Processing (21 citations). Yue Qiu has collaborated with scholars based in Japan, China and Australia. Frequent co-authors include Hirokatsu Kataoka, Ryota Suzuki, Yutaka Satoh, Kenji Iwata, Chen Tang, Zhenkun Lei, Min Xu, Shengjian Huang, Cheryl Duzenli and Yongping Li. Their work appears in journals such as Sensors, Optics Communications, Journal of Modern Optics, Radiotherapy and Oncology and Applied Optics.
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.