Jinze Yu
Impact in
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- Computer Graphics and Visualization Techniques
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- Generative Adversarial Networks and Image Synthesis
- Advanced Vision and Imaging
Papers in
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- Image Enhancement Techniques 4
- Image and Signal Denoising Methods 3
- Advanced Vision and Imaging 3
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- Plant Stress Responses and Tolerance 3
- Postharvest Quality and Shelf Life Management 2
- Co-authors
- Pheng‐Ann Heng (6 shared papers)Jing Qin (6 shared papers)Mingqiang Wei (4 shared papers)Jun Wang (2 shared papers)Wai‐Man Pang (2 shared papers)Ligang Liu (1 shared paper)Xiaocui Liu (3 shared papers)Yage Xing (3 shared papers)
In The Last Decade
Jinze Yu
22 papers receiving 483 citations
Peers
Comparison fields: 5 of 88
- Computer Graphics and Computer-Aided Design 131
- Computer Vision and Pattern Recognition 189
- Computational Mechanics 125
- Geology 18
- Global and Planetary Change 55
Countries citing papers authored by Jinze Yu
This map shows the geographic impact of Jinze 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 Jinze Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinze Yu more than expected).
Fields of papers citing papers by Jinze Yu
This network shows the impact of papers produced by Jinze 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 Jinze Yu. The network helps show where Jinze Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinze 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
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 94 | |
| 2 | 2014 | 79 | |
| 3 | 2021 | 67 | |
| 4 | 2021 | 42 | |
| 5 | 2013 | 32 | |
| 6 | 2022 | 29 | |
| 7 | 2021 | 28 | |
| 8 | 2014 | 25 | |
| 9 | 2021 | 22 | |
| 10 | 2023 | 15 | |
| 11 | 2015 | 15 | |
| 12 | 2014 | 12 | |
| 13 | 2014 | 10 | |
| 14 | 2016 | 7 | |
| 15 | 2024 | 4 | |
| 16 | 2023 | 3 | |
| 17 | A Novel Coarse-to-fine Level Set Framework for Ultrasound Image Segmentation | 2015 | 2 |
| 18 | 2024 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2019 | 2 |
About Jinze Yu
Jinze Yu is a scholar working on Computer Vision and Pattern Recognition, Plant Science, Computer Graphics and Computer-Aided Design, Computational Mechanics and Food Science, having authored 23 papers that have together received 495 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (5 papers), 3D Shape Modeling and Analysis (4 papers), Image Enhancement Techniques (4 papers), Image and Signal Denoising Methods (3 papers), Plant Stress Responses and Tolerance (3 papers), Nanoparticles: synthesis and applications (3 papers), Advanced Vision and Imaging (3 papers) and Postharvest Quality and Shelf Life Management (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (131 citations), Computer Vision and Pattern Recognition (189 citations), Computational Mechanics (125 citations), Geology (18 citations) and Global and Planetary Change (55 citations). Jinze Yu has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Pheng‐Ann Heng, Jing Qin, Mingqiang Wei, Jun Wang, Wai‐Man Pang, Ligang Liu, Xiaocui Liu, Yage Xing, Xuanlin Li and Cunkun Chen. Their work appears in journals such as Computer Graphics Forum, Horticulturae, IEEE Transactions on Visualization and Computer Graphics, Frontiers in Plant Science and Journal of Food Science.
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.