Xiujun Shu
Impact in
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- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Face recognition and analysis
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
Papers in
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- Human Pose and Action Recognition 7
- Video Surveillance and Tracking Methods 6
- Multimodal Machine Learning Applications 3
- Video Analysis and Summarization 3
- Image Enhancement Techniques 2
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- Underwater Vehicles and Communication Systems 4
- Co-authors
- Xiao Wang (4 shared papers)Yaowei Wang (3 shared papers)Bo Jiang (2 shared papers)Feng Wu (2 shared papers)Yonghong Tian (2 shared papers)Ge Li (4 shared papers)Zhipeng Zhang (1 shared paper)Qi Tian (3 shared papers)
In The Last Decade
Xiujun Shu
15 papers receiving 499 citations
Peers
Comparison fields: 5 of 53
- Computer Vision and Pattern Recognition 373
- Safety, Risk, Reliability and Quality 27
- Artificial Intelligence 93
- Human-Computer Interaction 12
- Ocean Engineering 30
Countries citing papers authored by Xiujun Shu
This map shows the geographic impact of Xiujun Shu'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 Xiujun Shu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiujun Shu more than expected).
Fields of papers citing papers by Xiujun Shu
This network shows the impact of papers produced by Xiujun Shu. 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 Xiujun Shu. The network helps show where Xiujun Shu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiujun Shu, 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 | 154 | |
| 2 | 2021 | 61 | |
| 3 | 2021 | 59 | |
| 4 | 2022 | 52 | |
| 5 | 2023 | 30 | |
| 6 | 2020 | 28 | |
| 7 | 2021 | 27 | |
| 8 | 2015 | 26 | |
| 9 | 2022 | 21 | |
| 10 | 2015 | 15 | |
| 11 | 2023 | 13 | |
| 12 | 2021 | 10 | |
| 13 | 2023 | 6 | |
| 14 | 2023 | 5 | |
| 15 | 2015 | 1 | |
| 16 | 2014 | 0 |
About Xiujun Shu
Xiujun Shu is a scholar working on Computer Vision and Pattern Recognition, Ocean Engineering, Aerospace Engineering, Artificial Intelligence and Oceanography, having authored 16 papers that have together received 508 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (7 papers), Video Surveillance and Tracking Methods (6 papers), Underwater Vehicles and Communication Systems (4 papers), Multimodal Machine Learning Applications (3 papers), Video Analysis and Summarization (3 papers), Radar Systems and Signal Processing (3 papers), Image Enhancement Techniques (2 papers) and Indoor and Outdoor Localization Technologies (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (373 citations), Safety, Risk, Reliability and Quality (27 citations), Artificial Intelligence (93 citations), Human-Computer Interaction (12 citations) and Ocean Engineering (30 citations). Xiujun Shu has collaborated with scholars based in China, Hong Kong and Norway. Frequent co-authors include Xiao Wang, Yaowei Wang, Bo Jiang, Feng Wu, Yonghong Tian, Ge Li, Zhipeng Zhang, Qi Tian, Shiliang Zhang and Weijian Ruan. Their work appears in journals such as Applied Acoustics, IEEE Transactions on Circuits and Systems for Video Technology, Image and Vision Computing, IEEE Signal Processing Letters and Neurocomputing.
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.