Yu Qiu
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- Visual Attention and Saliency Detection 8
- Advanced Image and Video Retrieval Techniques 6
- Advanced Neural Network Applications 5
- Image and Signal Denoising Methods 3
- Media Technology top 5%
- Advanced Image Fusion Techniques 4
- Health Informatics top 10%
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- Radiomics and Machine Learning in Medical Imaging 3
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- Neural Networks and Applications 4
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- Soil and Water Nutrient Dynamics 3
- Journals
- Circulation (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)IEEE Transactions on Power Electronics (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Yu Qiu
46 papers receiving 933 citations
Peers
Comparison fields: 5 of 134
- Computer Vision and Pattern Recognition 316
- Media Technology 84
- Health Informatics 12
- Water Science and Technology 70
- Radiology, Nuclear Medicine and Imaging 113
Countries citing papers authored by Yu Qiu
This map shows the geographic impact of Yu 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 Yu Qiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Qiu more than expected).
Fields of papers citing papers by Yu Qiu
This network shows the impact of papers produced by Yu 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 Yu Qiu. The network helps show where Yu Qiu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yu 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 2 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 0 | |
| 7 | 2024 | 7 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 4 | |
| 11 | 2024 | 5 | |
| 12 | 2024 | 5 | |
| 13 | 2022 | 40 | |
| 14 | 2020 | 11 | |
| 15 | 2020 | 6 | |
| 16 | 2018 | 1 | |
| 17 | 2018 | 8 | |
| 18 | A New Approach to Improve the Generalization Ability of Neural Network | 2006 | 1 |
| 19 | Dynamic Modeling of Lithologic Identification Based on Self-adapted Neural Network | 2003 | 1 |
| 20 | 2001 | 45 |
About Yu Qiu
Yu Qiu is a scholar working on Computer Vision and Pattern Recognition, Health Informatics and Media Technology, having authored 48 papers that have together received 952 indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (8 papers), Advanced Image and Video Retrieval Techniques (6 papers), Advanced Neural Network Applications (5 papers), Advanced Image Fusion Techniques (4 papers), Neural Networks and Applications (4 papers), Soil and Water Nutrient Dynamics (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Image and Signal Denoising Methods (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (316 citations), Media Technology (84 citations) and Health Informatics (12 citations). Yu Qiu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Yun Liu, Jing Xu, Qiulun Lu, Shijie Li, Zhonglin Xie, Xiaoxiang Mao, Ye Ding, Pei Wang, Kai Huang and Yin Wu. Their work appears in journals such as Circulation, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Power Electronics.
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.