Ziquan Wei
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- Advanced Image and Video Retrieval Techniques 2
- Media Technology top 10%
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- Robotics and Sensor-Based Localization 3
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- Medical Imaging Techniques and Applications 4
- Radiomics and Machine Learning in Medical Imaging 3
- Radiation Dose and Imaging 2
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- Advanced X-ray and CT Imaging 4
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- Advanced Radiotherapy Techniques 3
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- Magnetic Bearings and Levitation Dynamics 1
- Co-authors
- Kun YangYang YangYi LuoMengya LiSim Heng OngYifeng HanZhuoqian YangSu Zhang
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Clinical Oncology (1 paper)IEEE Transactions on Image Processing (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Ziquan Wei
10 papers receiving 167 citations
Peers
Comparison fields: 5 of 55
- Computer Vision and Pattern Recognition 100
- Media Technology 27
- Aerospace Engineering 72
- Geology 9
- Space and Planetary Science 2
Countries citing papers authored by Ziquan Wei
This map shows the geographic impact of Ziquan Wei'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 Ziquan Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ziquan Wei more than expected).
Fields of papers citing papers by Ziquan Wei
This network shows the impact of papers produced by Ziquan Wei. 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 Ziquan Wei. The network helps show where Ziquan Wei may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ziquan Wei, 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 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 0 | |
| 6 | 2022 | 5 | |
| 7 | An Efficient Cervical Whole Slide Image Analysis Framework Based on Multi-scale Semantic and Spatial Features using Deep Learning. | 2021 | 1 |
| 8 | 2021 | 23 | |
| 9 | 2019 | 5 | |
| 10 | 2019 | 1 | |
| 11 | 2018 | 36 | |
| 12 | 2018 | 31 | |
| 13 | 2018 | 0 | |
| 14 | 2017 | 64 | |
| 15 | 2015 | 2 |
About Ziquan Wei
Ziquan Wei is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Aerospace Engineering, having authored 15 papers that have together received 177 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (4 papers), Advanced X-ray and CT Imaging (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Advanced Radiotherapy Techniques (3 papers), Robotics and Sensor-Based Localization (3 papers), Radiation Dose and Imaging (2 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Magnetic Bearings and Levitation Dynamics (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (100 citations), Media Technology (27 citations) and Aerospace Engineering (72 citations). Ziquan Wei has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Kun Yang, Yang Yang, Yi Luo, Mengya Li, Sim Heng Ong, Yifeng Han, Zhuoqian Yang, Su Zhang, Cuntai Guan and Yi Ding. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and IEEE Transactions on Image Processing.
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.