Daoxun Xia
Impact in
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- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Face recognition and analysis
- Advanced Neural Network Applications
- Image Enhancement Techniques
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- Anomaly Detection Techniques and Applications
Papers in
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- Video Surveillance and Tracking Methods 14
- Human Pose and Action Recognition 11
- Advanced Neural Network Applications 5
- Face recognition and analysis 4
- Image Enhancement Techniques 2
- Co-authors
- Shaozi Li (4 shared papers)Wei Jiang (1 shared paper)Sheng Yu (2 shared papers)Xiaoyao Xie (3 shared papers)Fang Guo (3 shared papers)Yang Xu (2 shared papers)Songzhi Su (2 shared papers)Haifeng Huang (1 shared paper)
In The Last Decade
Daoxun Xia
22 papers receiving 287 citations
Peers
Comparison fields: 5 of 58
- Computer Vision and Pattern Recognition 213
- Artificial Intelligence 61
- Aerospace Engineering 40
- Computer Science Applications 8
- Media Technology 12
Countries citing papers authored by Daoxun Xia
This map shows the geographic impact of Daoxun Xia'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 Daoxun Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daoxun Xia more than expected).
Fields of papers citing papers by Daoxun Xia
This network shows the impact of papers produced by Daoxun Xia. 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 Daoxun Xia. The network helps show where Daoxun Xia may publish in the future.
Co-authors
The 22 scholars most cited alongside Daoxun Xia, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 77 | |
| 2 | 2019 | 39 | |
| 3 | 2023 | 37 | |
| 4 | 2021 | 34 | |
| 5 | 2009 | 17 | |
| 6 | 2021 | 16 | |
| 7 | 2017 | 14 | |
| 8 | 2023 | 9 | |
| 9 | 2023 | 8 | |
| 10 | 2016 | 7 | |
| 11 | 2022 | 7 | |
| 12 | Applied Research on Data Mining Based on CART Decision Tree Algorithm | 2011 | 5 |
| 13 | 2015 | 3 | |
| 14 | 2021 | 3 | |
| 15 | 2023 | 3 | |
| 16 | 2014 | 3 | |
| 17 | 2020 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2009 | 2 | |
| 20 | 2024 | 1 |
About Daoxun Xia
Daoxun Xia is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Experimental and Cognitive Psychology and Information Systems, having authored 25 papers that have together received 291 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (14 papers), Human Pose and Action Recognition (11 papers), Advanced Neural Network Applications (5 papers), Gait Recognition and Analysis (4 papers), Face recognition and analysis (4 papers), Emotion and Mood Recognition (3 papers), Hand Gesture Recognition Systems (2 papers) and Image Enhancement Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (213 citations), Artificial Intelligence (61 citations), Aerospace Engineering (40 citations), Computer Science Applications (8 citations) and Media Technology (12 citations). Daoxun Xia has collaborated with scholars based in China and Canada. Frequent co-authors include Shaozi Li, Wei Jiang, Sheng Yu, Xiaoyao Xie, Fang Guo, Yang Xu, Songzhi Su, Haifeng Huang, Bin Liu and Wu Zeng. Their work appears in journals such as Applied Intelligence, IEEE Journal of Selected Topics in Signal Processing, Multimedia Tools and Applications, The Journal of Engineering 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.