Zhize Wu
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Image Retrieval and Classification Techniques
- Media Technology top 5%
- Remote-Sensing Image Classification
Papers in
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- Advanced Neural Network Applications 15
- Advanced Image and Video Retrieval Techniques 12
- Medical Image Segmentation Techniques 7
- Image Retrieval and Classification Techniques 5
- Human Pose and Action Recognition 4
- Video Surveillance and Tracking Methods 4
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- Vehicle License Plate Recognition 3
- Co-authors
- Le Zou (23 shared papers)Thomas Weise (11 shared papers)Xiaofeng Wang (14 shared papers)Yan Wang (2 shared papers)Xinlu Li (3 shared papers)Fei Sun (3 shared papers)Yongjun Wang (1 shared paper)Guobin Li (1 shared paper)
In The Last Decade
Zhize Wu
35 papers receiving 319 citations
Peers
Comparison fields: 5 of 77
- Computer Vision and Pattern Recognition 193
- Media Technology 60
- Industrial and Manufacturing Engineering 30
- Artificial Intelligence 55
- Human-Computer Interaction 9
Countries citing papers authored by Zhize Wu
This map shows the geographic impact of Zhize Wu'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 Zhize Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhize Wu more than expected).
Fields of papers citing papers by Zhize Wu
This network shows the impact of papers produced by Zhize Wu. 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 Zhize Wu. The network helps show where Zhize Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhize Wu, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 32 | |
| 2 | 2020 | 27 | |
| 3 | 2020 | 24 | |
| 4 | 2024 | 22 | |
| 5 | 2022 | 22 | |
| 6 | 2021 | 22 | |
| 7 | 2024 | 21 | |
| 8 | 2023 | 19 | |
| 9 | 2021 | 18 | |
| 10 | 2024 | 17 | |
| 11 | 2023 | 14 | |
| 12 | 2021 | 14 | |
| 13 | 2021 | 14 | |
| 14 | 2020 | 12 | |
| 15 | 2023 | 11 | |
| 16 | 2023 | 8 | |
| 17 | 2022 | 4 | |
| 18 | 2024 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2018 | 2 |
About Zhize Wu
Zhize Wu is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Biomedical Engineering and Aerospace Engineering, having authored 42 papers that have together received 325 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (15 papers), Advanced Image and Video Retrieval Techniques (12 papers), Medical Image Segmentation Techniques (7 papers), Image Retrieval and Classification Techniques (5 papers), Human Pose and Action Recognition (4 papers), Video Surveillance and Tracking Methods (4 papers), Infrastructure Maintenance and Monitoring (3 papers) and Vehicle License Plate Recognition (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (193 citations), Media Technology (60 citations), Industrial and Manufacturing Engineering (30 citations), Artificial Intelligence (55 citations) and Human-Computer Interaction (9 citations). Zhize Wu has collaborated with scholars based in China, Vietnam and Australia. Frequent co-authors include Le Zou, Thomas Weise, Xiaofeng Wang, Yan Wang, Xinlu Li, Fei Sun, Yongjun Wang, Guobin Li, Fudong Nian and Xiuquan Du. Their work appears in journals such as Sensors, Neurocomputing, IEEE Access, Digital Signal Processing and Multimedia Systems.
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.