Yuzhen Niu
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- Visual Attention and Saliency Detection 38
- Advanced Image and Video Retrieval Techniques 30
- Advanced Vision and Imaging 26
- Image and Video Quality Assessment 23
- Image Enhancement Techniques 20
- Advanced Image Processing Techniques 18
- Video Surveillance and Tracking Methods 8
- Media Technology top 1%
- Advanced Image Fusion Techniques 20
- Sensory Systems top 5%
- Human-Computer Interaction top 5%
- Co-authors
- Wenzhong GuoFeng LiuXueqing LiGuolong ChenXiao KeLong MaiGenggeng LiuWenxi Liu
- Journals
- IEEE Transactions on Image Processing (2 papers)IEEE Access (9 papers)Frontiers in Microbiology (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Yuzhen Niu
106 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 125
- Computer Vision and Pattern Recognition 1.5k
- Media Technology 327
- Sensory Systems 140
- Computer Graphics and Computer-Aided Design 53
- Human-Computer Interaction 83
Countries citing papers authored by Yuzhen Niu
This map shows the geographic impact of Yuzhen Niu'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 Yuzhen Niu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuzhen Niu more than expected).
Fields of papers citing papers by Yuzhen Niu
This network shows the impact of papers produced by Yuzhen Niu. 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 Yuzhen Niu. The network helps show where Yuzhen Niu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yuzhen Niu, 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 | 2 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 0 | |
| 7 | 2025 | 0 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 4 | |
| 11 | 2024 | 6 | |
| 12 | 2023 | 4 | |
| 13 | 2023 | 1 | |
| 14 | 2023 | 16 | |
| 15 | 2020 | 5 | |
| 16 | 2020 | 11 | |
| 17 | 2018 | 34 | |
| 18 | 2014 | 30 | |
| 19 | 2011 | 1 | |
| 20 | Using web photos for measuring video frame interestingness | 2009 | 16 |
About Yuzhen Niu
Yuzhen Niu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Sensory Systems, having authored 117 papers that have together received 2.2k indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (38 papers), Advanced Image and Video Retrieval Techniques (30 papers), Advanced Vision and Imaging (26 papers), Image and Video Quality Assessment (23 papers), Advanced Image Fusion Techniques (20 papers), Image Enhancement Techniques (20 papers), Advanced Image Processing Techniques (18 papers) and Video Surveillance and Tracking Methods (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.5k citations), Media Technology (327 citations) and Sensory Systems (140 citations). Yuzhen Niu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Wenzhong Guo, Feng Liu, Xueqing Li, Guolong Chen, Xiao Ke, Long Mai, Genggeng Liu, Wenxi Liu, Xing Huang and Yueming Gao. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Access and Frontiers in Microbiology.
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.