Wen Xiao
- Artificial Intelligence top 5%
- Information Systems top 10%
- Computer Vision and Pattern Recognition top 10%
- Management Science and Operations Research
- Computer Networks and Communications
- Co-authors
- Giuseppe CareniniLizong ZhangBei HuiYu RongHong ChengHonghui MeiWei ChenD.B. Ingham
- Topics
- Topic Modeling (8 papers)Natural Language Processing Techniques (7 papers)Advanced Text Analysis Techniques (3 papers)
- Journals
- IEEE Transactions on Visualization and Computer GraphicsTranslational PsychiatryApplied Intelligence
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Wen Xiao
16 papers receiving 325 citations
Peers
Comparison fields: 5 of 75
- Artificial Intelligence 216
- Information Systems 106
- Computer Vision and Pattern Recognition 77
- Management Science and Operations Research 23
- Computer Networks and Communications 18
Countries citing papers authored by Wen Xiao
This map shows the geographic impact of Wen 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 Wen Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen Xiao more than expected).
Fields of papers citing papers by Wen Xiao
This network shows the impact of papers produced by Wen 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 Wen Xiao. The network helps show where Wen Xiao may publish in the future.
Co-authorship network of co-authors of Wen Xiao
This figure shows the co-authorship network connecting the top 25 collaborators of Wen Xiao. A scholar is included among the top collaborators of Wen 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 Wen Xiao. Wen 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 | 0 | |
| 3 | 6 | |
| 4 | 6 | |
| 5 | 100 | |
| 6 | 7 | |
| 7 | 14 | |
| 8 | 5 | |
| 9 | 25 | |
| 10 | 5 | |
| 11 | 17 | |
| 12 | 7 | |
| 13 | 1 | |
| 14 | 95 | |
| 15 | 28 | |
| 16 | Retrieval of Cloud Parameters Using Infrared Hyperspectral Observations | 1 |
| 17 | Applications of New Ideas of Driving Safety Measures on Construction of Highways in Mountain Areas | 1 |
| 18 | 19 |
About Wen Xiao
Wen Xiao is a scholar working on General Social Sciences, Computer Graphics and Computer-Aided Design and Artificial Intelligence, having authored 18 papers that have together received 337 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers) and Advanced Text Analysis Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (216 citations), Information Systems (106 citations) and Computer Vision and Pattern Recognition (77 citations). Wen Xiao has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Giuseppe Carenini, Lizong Zhang, Bei Hui, Yu Rong, Hong Cheng, Honghui Mei, Wei Chen, D.B. Ingham, Hyeju Jang and Wei Huang. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Translational Psychiatry and Applied Intelligence.
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.