Tao Xiang
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 0.5%
- Information Systems top 1%
- Computer Networks and Communications top 2%
- Computational Theory and Mathematics top 1%
- Co-authors
- Xiaofeng LiaoKwok‐Wo WongYong WangFei ChenDi XiaoShangwei GuoChunqiang HuGuanrong Chen
- Topics
- Cryptography and Data Security (53 papers)Chaos-based Image/Signal Encryption (45 papers)Privacy-Preserving Technologies in Data (43 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Information Theory
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Tao Xiang
192 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 117
- Computer Vision and Pattern Recognition 2.1k
- Artificial Intelligence 1.6k
- Information Systems 697
- Computer Networks and Communications 550
- Computational Theory and Mathematics 452
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 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 3 | |
| 11 | 36 | |
| 12 | 8 | |
| 13 | 24 | |
| 14 | 9 | |
| 15 | 73 | |
| 16 | 19 | |
| 17 | 27 | |
| 18 | 30 | |
| 19 | 12 | |
| 20 | 16 |
About Tao Xiang
Tao Xiang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems, having authored 221 papers that have together received 3.9k indexed citations. Recurring topics across this work include Cryptography and Data Security (53 papers), Chaos-based Image/Signal Encryption (45 papers) and Privacy-Preserving Technologies in Data (43 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.1k citations), Artificial Intelligence (1.6k citations) and Mathematical Physics (310 citations). Tao Xiang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xiaofeng Liao, Kwok‐Wo Wong, Yong Wang, Fei Chen, Di Xiao, Shangwei Guo, Chunqiang Hu, Xiaofeng Liao, Guanrong Chen and Yuanyuan Yang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Information Theory.
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.