Hong-Xia Dou
Impact in
- Media Technology top 2%
- Advanced Image Fusion Techniques
- Remote-Sensing Image Classification
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- Image and Signal Denoising Methods
- Advanced Image Processing Techniques
- Image Enhancement Techniques
Papers in
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- Image and Signal Denoising Methods 16
- Advanced Image Processing Techniques 2
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- Advanced Image Fusion Techniques 12
- Remote-Sensing Image Classification 8
- Co-authors
- Liang-Jian Deng (20 shared papers)Ting‐Zhu Huang (11 shared papers)Jinfan Hu (2 shared papers)Gemine Vivone (2 shared papers)Danfeng Hong (1 shared paper)Xi-Le Zhao (4 shared papers)Jie Huang (3 shared papers)Hou‐Biao Li (2 shared papers)
In The Last Decade
Hong-Xia Dou
23 papers receiving 284 citations
Peers
Comparison fields: 5 of 43
- Media Technology 240
- Computer Vision and Pattern Recognition 187
- Computational Mathematics 4
- Atmospheric Science 29
- Computational Mechanics 24
Countries citing papers authored by Hong-Xia Dou
This map shows the geographic impact of Hong-Xia Dou'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 Hong-Xia Dou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong-Xia Dou more than expected).
Fields of papers citing papers by Hong-Xia Dou
This network shows the impact of papers produced by Hong-Xia Dou. 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 Hong-Xia Dou. The network helps show where Hong-Xia Dou may publish in the future.
Co-authors
The 24 scholars most cited alongside Hong-Xia Dou, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 133 | |
| 2 | 2022 | 33 | |
| 3 | 2018 | 33 | |
| 4 | 2019 | 16 | |
| 5 | 2022 | 16 | |
| 6 | 2022 | 12 | |
| 7 | 2023 | 5 | |
| 8 | 2017 | 5 | |
| 9 | 2016 | 5 | |
| 10 | 2019 | 5 | |
| 11 | 2023 | 4 | |
| 12 | 2024 | 4 | |
| 13 | 2024 | 4 | |
| 14 | 2017 | 3 | |
| 15 | 2017 | 2 | |
| 16 | 2020 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2021 | 1 |
About Hong-Xia Dou
Hong-Xia Dou is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Computational Mechanics, Mathematical Physics and Computational Mathematics, having authored 24 papers that have together received 289 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (16 papers), Advanced Image Fusion Techniques (12 papers), Remote-Sensing Image Classification (8 papers), Sparse and Compressive Sensing Techniques (8 papers), Optical Coherence Tomography Applications (2 papers), Tensor decomposition and applications (2 papers), Advanced Image Processing Techniques (2 papers) and Numerical methods in inverse problems (2 papers). The work is most often cited by research in Media Technology (240 citations), Computer Vision and Pattern Recognition (187 citations), Computational Mathematics (4 citations), Atmospheric Science (29 citations) and Computational Mechanics (24 citations). Hong-Xia Dou has collaborated with scholars based in China, Italy and Japan. Frequent co-authors include Liang-Jian Deng, Ting‐Zhu Huang, Jinfan Hu, Gemine Vivone, Danfeng Hong, Xi-Le Zhao, Jie Huang, Hou‐Biao Li, Junyan Wang and Yong Chen. Their work appears in journals such as IEEE Geoscience and Remote Sensing Letters, Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, SpringerPlus and IEEE Transactions on Computational Imaging.
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.