Yingkun Hou
Impact in
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- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Image and Signal Denoising Methods
- Media Technology top 2%
Papers in
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- Image and Signal Denoising Methods 14
- Image Retrieval and Classification Techniques 13
- Advanced Image and Video Retrieval Techniques 8
- Advanced Image Processing Techniques 6
- Advanced Steganography and Watermarking Techniques 4
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- Advanced Image Fusion Techniques 15
Yingkun Hou
47 papers receiving 988 citations
Peers
Comparison fields: 5 of 108
- Computer Vision and Pattern Recognition 512
- Media Technology 173
- Radiology, Nuclear Medicine and Imaging 412
- Computational Mechanics 320
- Computational Mathematics 6
Countries citing papers authored by Yingkun Hou
This map shows the geographic impact of Yingkun Hou'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 Yingkun Hou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingkun Hou more than expected).
Fields of papers citing papers by Yingkun Hou
This network shows the impact of papers produced by Yingkun Hou. 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 Yingkun Hou. The network helps show where Yingkun Hou may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yingkun Hou, 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 | 2024 | 4 | |
| 3 | 2023 | 29 | |
| 4 | 2022 | 6 | |
| 5 | 2022 | 1 | |
| 6 | 2021 | 27 | |
| 7 | 2020 | 37 | |
| 8 | 2018 | 0 | |
| 9 | 2018 | 1 | |
| 10 | 2017 | 29 | |
| 11 | 2016 | 1 | |
| 12 | 2014 | 0 | |
| 13 | 2014 | 1 | |
| 14 | 2012 | 10 | |
| 15 | 2012 | 3 | |
| 16 | 2012 | 3 | |
| 17 | 2011 | 4 | |
| 18 | 2011 | 4 | |
| 19 | Image with Less Information Watermarking Algorithm Based on DWT. | 2007 | 2 |
| 20 | 2007 | 21 |
About Yingkun Hou
Yingkun Hou is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Radiology, Nuclear Medicine and Imaging, Marketing and Atmospheric Science, having authored 61 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (15 papers), Image and Signal Denoising Methods (14 papers), Image Retrieval and Classification Techniques (13 papers), Advanced Image and Video Retrieval Techniques (8 papers), Advanced Image Processing Techniques (6 papers), Remote Sensing and Land Use (5 papers), Sparse and Compressive Sensing Techniques (4 papers) and Advanced Steganography and Watermarking Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (512 citations), Media Technology (173 citations), Radiology, Nuclear Medicine and Imaging (412 citations), Computational Mechanics (320 citations) and Computational Mathematics (6 citations). Yingkun Hou has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Zhong Chen, Xiaobo Qu, Di Guo, Zuoyong Li, Fan Lam, Jianhui Zhong, Jingyu Yang, Guanghai Liu, Lei Zhang and Yulan Lin. Their work appears in journals such as Scientific Reports, INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences, IEEE Transactions on Image Processing, IEEE Access and IEEE Transactions on Multimedia.
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.