Min Xiao
About
In The Last Decade
Min Xiao
37 papers receiving 396 citations
Peers
Comparison fields: 5 of 71
- Artificial Intelligence 306
- Computer Vision and Pattern Recognition 120
- Computer Networks and Communications 29
- Information Systems 29
- Electrical and Electronic Engineering 27
Countries citing papers authored by Min Xiao
This map shows the geographic impact of Min 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 Min Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Xiao more than expected).
Fields of papers citing papers by Min Xiao
This network shows the impact of papers produced by Min 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 Min Xiao. The network helps show where Min Xiao may publish in the future.
Co-authorship network of co-authors of Min Xiao
This figure shows the co-authorship network connecting the top 25 collaborators of Min Xiao. A scholar is included among the top collaborators of Min 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 Min Xiao. Min 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 | 3 | |
| 4 | 10 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | Predictive collaborative filtering with side information | 11 |
| 10 | 1 | |
| 11 | 9 | |
| 12 | 49 | |
| 13 | A Novel Two-Step Method for Cross Language Representation Learning | 30 |
| 14 | Online Active Learning for Cost Sensitive Domain Adaptation | 9 |
| 15 | Domain Adaptation for Sequence Labeling Tasks with a Probabilistic Language Adaptation Model | 10 |
| 16 | 22 | |
| 17 | 6 | |
| 18 | Multi-View AdaBoost for Multilingual Subjectivity Analysis | 10 |
| 19 | Semi-supervised Representation Learning for Domain Adaptation using Dynamic Dependency Networks | 1 |
| 20 | 2 |
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.