Tao Xiang
- Computer Vision and Pattern Recognition top 1%
- Biomedical Engineering top 10%
- Artificial Intelligence top 5%
- Signal Processing top 10%
- Ocean Engineering
- Co-authors
- Shaogang GongWei‐Shi ZhengParthipan SivaJian LiTimothy M. HospedalesClaudia LoyLoong‐Fah CheongChen Change Loy
- Topics
- Human Pose and Action Recognition (7 papers)Video Surveillance and Tracking Methods (7 papers)Anomaly Detection Techniques and Applications (7 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligencePattern RecognitionAIAA Journal
- Partner nations
- ChinaUnited KingdomGermany
In The Last Decade
Tao Xiang
22 papers receiving 888 citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Computer Vision and Pattern Recognition 795
- Biomedical Engineering 273
- Artificial Intelligence 243
- Signal Processing 47
- Ocean Engineering 31
Countries citing papers authored by Tao Xiang
This map shows the geographic impact of Tao Xiang'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 Tao Xiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tao Xiang more than expected).
Fields of papers citing papers by Tao Xiang
This network shows the impact of papers produced by Tao Xiang. 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 Tao Xiang. The network helps show where Tao Xiang may publish in the future.
Co-authorship network of co-authors of Tao Xiang
This figure shows the co-authorship network connecting the top 25 collaborators of Tao Xiang. A scholar is included among the top collaborators of Tao Xiang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tao Xiang. Tao Xiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 9 | |
| 10 | 15 | |
| 11 | Reidentification by Relative Distance Comparisonbreakdown → | 527 |
| 12 | 22 | |
| 13 | 36 | |
| 14 | 50 | |
| 15 | 66 | |
| 16 | 34 | |
| 17 | 1 | |
| 18 | 5 | |
| 19 | 1 | |
| 20 | 11 |
About Tao Xiang
Tao Xiang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 24 papers that have together received 909 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (7 papers), Video Surveillance and Tracking Methods (7 papers) and Anomaly Detection Techniques and Applications (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (795 citations), Artificial Intelligence (243 citations) and Biomedical Engineering (273 citations). Tao Xiang has collaborated with scholars based in China, United Kingdom and Germany. Frequent co-authors include Shaogang Gong, Wei‐Shi Zheng, Parthipan Siva, Jian Li, Timothy M. Hospedales, Claudia Loy, Loong‐Fah Cheong, Chen Change Loy, Ting Zheng and Bing He. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and AIAA Journal.
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.