Liqiang Xiao
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems
- Mechanical Engineering
- Political Science and International Relations
- Topics
- Topic Modeling (14 papers)Natural Language Processing Techniques (9 papers)Multimodal Machine Learning Applications (5 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceComputers and Electronics in AgricultureKnowledge-Based Systems
- Partner nations
- ChinaUnited StatesMexico
In The Last Decade
Liqiang Xiao
26 papers receiving 317 citations
Peers
Comparison fields: 5 of 64
- Artificial Intelligence 240
- Computer Vision and Pattern Recognition 79
- Information Systems 28
- Mechanical Engineering 22
- Political Science and International Relations 12
Countries citing papers authored by Liqiang Xiao
This map shows the geographic impact of Liqiang 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 Liqiang Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liqiang Xiao more than expected).
Fields of papers citing papers by Liqiang Xiao
This network shows the impact of papers produced by Liqiang 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 Liqiang Xiao. The network helps show where Liqiang Xiao may publish in the future.
Co-authorship network of co-authors of Liqiang Xiao
This figure shows the co-authorship network connecting the top 25 collaborators of Liqiang Xiao. A scholar is included among the top collaborators of Liqiang 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 Liqiang Xiao. Liqiang 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 | 3 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 32 | |
| 8 | 9 | |
| 9 | 9 | |
| 10 | 6 | |
| 11 | 8 | |
| 12 | 6 | |
| 13 | 15 | |
| 14 | 10 | |
| 15 | 5 | |
| 16 | Learning What to Share: Leaky Multi-Task Network for Text Classification | 8 |
| 17 | 3 | |
| 18 | 25 | |
| 19 | 34 | |
| 20 | 60 |
About Liqiang Xiao
Liqiang Xiao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Environmental Engineering, having authored 27 papers that have together received 326 indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Natural Language Processing Techniques (9 papers) and Multimodal Machine Learning Applications (5 papers). The work is most often cited by research in Artificial Intelligence (240 citations), Computer Vision and Pattern Recognition (79 citations) and Health Informatics (2 citations). Liqiang Xiao has collaborated with scholars based in China, United States and Mexico. Frequent co-authors include Yaohui Jin, Honglun Zhang, Wenqing Chen, Yongkun Wang, Yongkun Wang, Hao He, Xiaochun Cao, Hassan Foroosh, Hua Zhang and Lu Wang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Computers and Electronics in Agriculture and Knowledge-Based Systems.
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.