Yanshan Xiao
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Control and Systems Engineering top 10%
- Media Technology top 5%
- Computer Networks and Communications top 10%
- Topics
- Text and Document Classification Technologies (32 papers)Face and Expression Recognition (29 papers)Domain Adaptation and Few-Shot Learning (25 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Geoscience and Remote SensingExpert Systems with Applications
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Yanshan Xiao
93 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 103
- Artificial Intelligence 616
- Computer Vision and Pattern Recognition 511
- Control and Systems Engineering 107
- Media Technology 95
- Computer Networks and Communications 89
Countries citing papers authored by Yanshan Xiao
This map shows the geographic impact of Yanshan Xiao'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 Yanshan Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanshan Xiao more than expected).
Fields of papers citing papers by Yanshan Xiao
This network shows the impact of papers produced by Yanshan Xiao. 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 Yanshan Xiao. The network helps show where Yanshan Xiao may publish in the future.
Co-authorship network of co-authors of Yanshan Xiao
This figure shows the co-authorship network connecting the top 25 collaborators of Yanshan Xiao. A scholar is included among the top collaborators of Yanshan Xiao 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 Yanshan Xiao. Yanshan Xiao 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 | 3 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 4 | |
| 11 | 6 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 10 | |
| 15 | 10 | |
| 16 | 7 | |
| 17 | 5 | |
| 18 | 4 | |
| 19 | 6 | |
| 20 | 16 |
About Yanshan Xiao
Yanshan Xiao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Urban Studies, having authored 100 papers that have together received 1.0k indexed citations. Recurring topics across this work include Text and Document Classification Technologies (32 papers), Face and Expression Recognition (29 papers) and Domain Adaptation and Few-Shot Learning (25 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (511 citations), Artificial Intelligence (616 citations) and Computational Mathematics (7 citations). Yanshan Xiao has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Bo Liu, Longbing Cao, Zhifeng Hao, Bo Liu, Yiping Cao, Bo Liu, Yingchun Wu, Zhifeng Hao, Philip S. Yu and Feiqi Deng. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and Expert Systems with Applications.
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.