Z. Yu
Impact in
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- Computer Graphics and Visualization Techniques
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- Advanced Vision and Imaging
- Image Enhancement Techniques
- Medical Image Segmentation Techniques
- Advanced Image Processing Techniques
Papers in
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- Advanced Vision and Imaging 5
- Image Enhancement Techniques 4
- Advanced Image Processing Techniques 2
- Optical measurement and interference techniques 1
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- Computer Graphics and Visualization Techniques 5
- Co-authors
- Shuang Zhao (5 shared papers)Kiichi Urahama (4 shared papers)Zhao Dong (2 shared papers)Derek Nowrouzezahrai (1 shared paper)Cheng Zhang (1 shared paper)Q. J. Ge (2 shared papers)Lifan Wu (1 shared paper)Mona Arbab (1 shared paper)
- Journals
- ACM Transactions on Graphics (3 papers)Computer Graphics Forum (1 paper)Journal of Alloys and Compounds (1 paper)Journal of Mechanisms and Robotics (1 paper)Applied Sciences (1 paper)
- Partner nations
- United StatesChinaSlovenia
In The Last Decade
Z. Yu
14 papers receiving 89 citations
Peers
Comparison fields: 5 of 28
- Computer Graphics and Computer-Aided Design 57
- Computer Vision and Pattern Recognition 59
- Computational Mechanics 39
- Instrumentation 3
- Media Technology 4
Countries citing papers authored by Z. Yu
This map shows the geographic impact of Z. Yu'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 Z. Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Z. Yu more than expected).
Fields of papers citing papers by Z. Yu
This network shows the impact of papers produced by Z. Yu. 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 Z. Yu. The network helps show where Z. Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Z. Yu, 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 | 2021 | 37 | |
| 2 | 2022 | 11 | |
| 3 | 2024 | 7 | |
| 4 | 2023 | 6 | |
| 5 | 2021 | 5 | |
| 6 | 2014 | 5 | |
| 7 | 2023 | 4 | |
| 8 | 2025 | 3 | |
| 9 | 2014 | 3 | |
| 10 | 2020 | 2 | |
| 11 | 2023 | 2 | |
| 12 | 2025 | 2 | |
| 13 | 2025 | 1 | |
| 14 | Bilateral Minimum Filter for Dehazing Images | 2013 | 1 |
| 15 | 2024 | 0 | |
| 16 | 2014 | 0 |
About Z. Yu
Z. Yu is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Artificial Intelligence and Computational Theory and Mathematics, having authored 16 papers that have together received 89 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (5 papers), Computer Graphics and Visualization Techniques (5 papers), Image Enhancement Techniques (4 papers), 3D Shape Modeling and Analysis (3 papers), Advanced Image Processing Techniques (2 papers), Hydrogen Storage and Materials (2 papers), Advanced Radiotherapy Techniques (1 paper) and Optical measurement and interference techniques (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (57 citations), Computer Vision and Pattern Recognition (59 citations), Computational Mechanics (39 citations), Instrumentation (3 citations) and Media Technology (4 citations). Z. Yu has collaborated with scholars based in United States, China and Slovenia. Frequent co-authors include Shuang Zhao, Kiichi Urahama, Zhao Dong, Derek Nowrouzezahrai, Cheng Zhang, Q. J. Ge, Lifan Wu, Mona Arbab, Márk Langer and H. Cui. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum, Journal of Alloys and Compounds, Journal of Mechanisms and Robotics and Applied Sciences.
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.