Yuning Qiu
Impact in
- Computational Mathematics top 1%
- Tensor decomposition and applications
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- Face and Expression Recognition
- Image and Signal Denoising Methods
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
Papers in
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- Tensor decomposition and applications 20
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- Sparse and Compressive Sensing Techniques 13
- Co-authors
- Guoxu Zhou (20 shared papers)Shengli Xie (8 shared papers)Qibin Zhao (16 shared papers)Jianqiang Li (1 shared paper)Yanjiao Wang (1 shared paper)Yu Zhang (1 shared paper)Andong Wang (3 shared papers)Dongping Zhang (1 shared paper)
- Journals
- Neural Networks (4 papers)IEEE Transactions on Neural Networks and Learning Systems (2 papers)IEEE Signal Processing Letters (2 papers)International Journal of Machine Learning and Cybernetics (1 paper)Science China Technological Sciences (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Yuning Qiu
21 papers receiving 262 citations
Peers
Comparison fields: 5 of 44
- Computational Mathematics 119
- Computer Vision and Pattern Recognition 131
- Computational Mechanics 84
- Urban Studies 21
- Media Technology 22
Countries citing papers authored by Yuning Qiu
This map shows the geographic impact of Yuning 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 Yuning Qiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuning Qiu more than expected).
Fields of papers citing papers by Yuning Qiu
This network shows the impact of papers produced by Yuning 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 Yuning Qiu. The network helps show where Yuning Qiu may publish in the future.
Co-authors
The 20 scholars most cited alongside Yuning 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 86 | |
| 2 | 2022 | 43 | |
| 3 | 2022 | 25 | |
| 4 | 2022 | 19 | |
| 5 | 2021 | 15 | |
| 6 | 2024 | 10 | |
| 7 | 2019 | 10 | |
| 8 | 2022 | 9 | |
| 9 | 2022 | 9 | |
| 10 | 2023 | 6 | |
| 11 | 2022 | 5 | |
| 12 | 2024 | 4 | |
| 13 | 2024 | 3 | |
| 14 | 2024 | 3 | |
| 15 | 2022 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2020 | 3 | |
| 18 | 2018 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2023 | 1 |
About Yuning Qiu
Yuning Qiu is a scholar working on Computational Mathematics, Computational Mechanics, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Signal Processing, having authored 26 papers that have together received 263 indexed citations. Recurring topics across this work include Tensor decomposition and applications (20 papers), Sparse and Compressive Sensing Techniques (13 papers), Advanced Neuroimaging Techniques and Applications (11 papers), Image and Signal Denoising Methods (5 papers), Blind Source Separation Techniques (3 papers), Remote-Sensing Image Classification (1 paper), Face and Expression Recognition (1 paper) and Computational Physics and Python Applications (1 paper). The work is most often cited by research in Computational Mathematics (119 citations), Computer Vision and Pattern Recognition (131 citations), Computational Mechanics (84 citations), Urban Studies (21 citations) and Media Technology (22 citations). Yuning Qiu has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Guoxu Zhou, Shengli Xie, Qibin Zhao, Jianqiang Li, Yanjiao Wang, Yu Zhang, Andong Wang, Dongping Zhang, Yu Zhang and Weijun Sun. Their work appears in journals such as Neural Networks, IEEE Transactions on Neural Networks and Learning Systems, IEEE Signal Processing Letters, International Journal of Machine Learning and Cybernetics and Science China Technological Sciences.
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.