Yu-Hsiang Fu
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- Image and Signal Denoising Methods 2
- Image Enhancement Techniques 2
- Media Technology top 2%
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- Complex Network Analysis Techniques 6
- Opinion Dynamics and Social Influence 5
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- Recommender Systems and Techniques 3
- Web Data Mining and Analysis 3
- Spam and Phishing Detection 2
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- Text and Document Classification Technologies 2
- Co-authors
- Chia‐Wen LinLi-Wei KangChiou-Ting HsuLi‐Wei KangChung-Yuan HuangChuen–Tsai SunTzai‐Hung WenYi‐Hsien Chen
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyComputer Graphics and Computer-Aided Design
- Journals
- Scientific Reports (1 paper)IEEE Transactions on Image Processing (1 paper)Expert Systems with Applications (1 paper)
- Partner nations
- Taiwan
In The Last Decade
Yu-Hsiang Fu
12 papers receiving 715 citations
Hit Papers
Peers
Comparison fields: 5 of 64
- Computer Vision and Pattern Recognition 656
- Media Technology 248
- Computer Graphics and Computer-Aided Design 53
- Safety, Risk, Reliability and Quality 37
- Computational Mathematics 2
Countries citing papers authored by Yu-Hsiang Fu
This map shows the geographic impact of Yu-Hsiang 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 Yu-Hsiang Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu-Hsiang Fu more than expected).
Fields of papers citing papers by Yu-Hsiang Fu
This network shows the impact of papers produced by Yu-Hsiang 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 Yu-Hsiang Fu. The network helps show where Yu-Hsiang Fu may publish in the future.
Co-authorship network
The 12 scholars most cited alongside Yu-Hsiang 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 | 3 | |
| 2 | 2023 | 3 | |
| 3 | 2019 | 14 | |
| 4 | 2019 | 5 | |
| 5 | 2015 | 0 | |
| 6 | 2014 | 4 | |
| 7 | 2014 | 7 | |
| 8 | 2014 | 4 | |
| 9 | 2011 | 57 | |
| 10 | Automatic Single-Image-Based Rain Streaks Removal via Image Decompositionbreakdown → | 2011 | 614 |
| 11 | 2010 | 12 | |
| 12 | Two Levels of Prediction Model for User's Browsing Behavior 1 | 2008 | 5 |
| 13 | 2008 | 22 |
About Yu-Hsiang Fu
Yu-Hsiang Fu is a scholar working on Statistical and Nonlinear Physics, Information Systems and Modeling and Simulation, having authored 13 papers that have together received 750 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (6 papers), Opinion Dynamics and Social Influence (5 papers), Recommender Systems and Techniques (3 papers), Web Data Mining and Analysis (3 papers), Image and Signal Denoising Methods (2 papers), Spam and Phishing Detection (2 papers), Image Enhancement Techniques (2 papers) and Text and Document Classification Technologies (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (656 citations), Media Technology (248 citations) and Computer Graphics and Computer-Aided Design (53 citations). Yu-Hsiang Fu has collaborated with scholars based in Taiwan. Frequent co-authors include Chia‐Wen Lin, Li-Wei Kang, Chiou-Ting Hsu, Li‐Wei Kang, Chung-Yuan Huang, Chuen–Tsai Sun, Tzai‐Hung Wen, Yi‐Hsien Chen, Yu‐Ting Yu and Ming‐Hsien Tsai. Their work appears in journals such as Scientific Reports, IEEE Transactions on Image Processing and Expert Systems with Applications.
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.