Guina Wang
Impact in
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- Medical Image Segmentation Techniques
- Image and Signal Denoising Methods
- Image and Object Detection Techniques
- Image Retrieval and Classification Techniques
- Advanced Neural Network Applications
- Media Technology top 10%
- Advanced Image Fusion Techniques
Papers in
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- Medical Image Segmentation Techniques 13
- Image and Signal Denoising Methods 6
- Image and Object Detection Techniques 5
- Image Retrieval and Classification Techniques 4
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- Advanced Image Fusion Techniques 6
- Image Processing Techniques and Applications 2
- Co-authors
- Yiyang Chen (17 shared papers)Guirong Weng (14 shared papers)Hongtian Chen (5 shared papers)Ershun Pan (1 shared paper)Fuzheng Zhang (5 shared papers)Lu Chen (1 shared paper)Lifeng Xi (1 shared paper)Xiaole Han (1 shared paper)
In The Last Decade
Guina Wang
16 papers receiving 262 citations
Peers
Comparison fields: 5 of 50
- Computer Vision and Pattern Recognition 160
- Media Technology 55
- Industrial and Manufacturing Engineering 53
- Bioengineering 9
- Aerospace Engineering 21
Countries citing papers authored by Guina Wang
This map shows the geographic impact of Guina Wang'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 Guina Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guina Wang more than expected).
Fields of papers citing papers by Guina Wang
This network shows the impact of papers produced by Guina Wang. 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 Guina Wang. The network helps show where Guina Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Guina Wang, 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 | 2022 | 43 | |
| 2 | 2022 | 42 | |
| 3 | 2014 | 31 | |
| 4 | 2023 | 29 | |
| 5 | 2023 | 26 | |
| 6 | 2024 | 23 | |
| 7 | 2014 | 21 | |
| 8 | 2022 | 12 | |
| 9 | 2015 | 9 | |
| 10 | 2018 | 6 | |
| 11 | 2025 | 6 | |
| 12 | 2024 | 6 | |
| 13 | 2023 | 6 | |
| 14 | 2024 | 2 | |
| 15 | 2025 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2025 | 0 | |
| 18 | 2024 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Guina Wang
Guina Wang is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Control and Systems Engineering, Mechanical Engineering and Electrical and Electronic Engineering, having authored 23 papers that have together received 265 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (13 papers), Advanced Image Fusion Techniques (6 papers), Image and Signal Denoising Methods (6 papers), Image and Object Detection Techniques (5 papers), Image Retrieval and Classification Techniques (4 papers), Advanced Fiber Optic Sensors (2 papers), Image Processing Techniques and Applications (2 papers) and Iterative Learning Control Systems (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (160 citations), Media Technology (55 citations), Industrial and Manufacturing Engineering (53 citations), Bioengineering (9 citations) and Aerospace Engineering (21 citations). Guina Wang has collaborated with scholars based in China, Canada and Australia. Frequent co-authors include Yiyang Chen, Guirong Weng, Hongtian Chen, Ershun Pan, Fuzheng Zhang, Lu Chen, Lifeng Xi, Xiaole Han, Dakai Liang and Qicai Liu. Their work appears in journals such as Signal Processing, IEEE Transactions on Instrumentation and Measurement, Photonic Sensors, Symmetry and The Visual Computer.
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.