Ying Fu
Impact in
- Media Technology top 0.2%
- Advanced Image Fusion Techniques
- Remote-Sensing Image Classification
-
- Image and Signal Denoising Methods
- Advanced Image Processing Techniques
- Image Enhancement Techniques
- Advanced Vision and Imaging
Papers in
-
- Advanced Image Fusion Techniques 40
- Remote-Sensing Image Classification 23
- Co-authors
- Hua HuangKaixuan WeiLizhi WangYinqiang ZhengJiaolong YangYoichi SatoImari SatoYulun Zhang
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (10 papers)Neurocomputing (9 papers)International Journal of Computer Vision (6 papers)IEEE Transactions on Image Processing (4 papers)IEEE Transactions on Geoscience and Remote Sensing (4 papers)
- Partner nations
- ChinaJapanNetherlands
In The Last Decade
Ying Fu
155 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Media Technology 1.4k
- Computer Vision and Pattern Recognition 2.2k
- Acoustics and Ultrasonics 81
- Computational Mathematics 23
- Computational Mechanics 451
Countries citing papers authored by Ying Fu
This map shows the geographic impact of Ying Fu'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 Ying Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Fu more than expected).
Fields of papers citing papers by Ying Fu
This network shows the impact of papers produced by Ying Fu. 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 Ying Fu. The network helps show where Ying Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying Fu, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 16 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 6 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 4 | |
| 12 | 2022 | 5 | |
| 13 | 2021 | 114 | |
| 14 | 2021 | 19 | |
| 15 | 2021 | 15 | |
| 16 | 2021 | 10 | |
| 17 | 2019 | 24 | |
| 18 | 2018 | 31 | |
| 19 | 2018 | 41 | |
| 20 | 2018 | 121 |
About Ying Fu
Ying Fu is a scholar working on Acoustics and Ultrasonics, Media Technology, Computer Vision and Pattern Recognition, Computational Mathematics and Computational Mechanics, having authored 165 papers that have together received 3.6k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (49 papers), Advanced Image Fusion Techniques (40 papers), Advanced Image Processing Techniques (24 papers), Remote-Sensing Image Classification (23 papers), Sparse and Compressive Sensing Techniques (16 papers), Image Enhancement Techniques (16 papers), Advanced Image and Video Retrieval Techniques (16 papers) and Advanced Neural Network Applications (12 papers). The work is most often cited by research in Media Technology (1.4k citations), Computer Vision and Pattern Recognition (2.2k citations), Acoustics and Ultrasonics (81 citations), Computational Mathematics (23 citations) and Computational Mechanics (451 citations). Ying Fu has collaborated with scholars based in China, Japan and Netherlands. Frequent co-authors include Hua Huang, Kaixuan Wei, Lizhi Wang, Yinqiang Zheng, Jiaolong Yang, Yoichi Sato, Imari Sato, Yulun Zhang, Chen Sun and Shaodi You. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Neurocomputing, International Journal of Computer Vision, IEEE Transactions on Image Processing and IEEE Transactions on Geoscience and Remote Sensing.
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.