Xiaoyong Liu
- Electrical and Electronic Engineering top 10%
- Biomedical Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Molecular Biology
- Topics
- Remote-Sensing Image Classification (6 papers)Topic Modeling (5 papers)Face and Expression Recognition (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionHardware and ArchitectureSurfaces, Coatings and Films
- Journals
- Journal of The Electrochemical SocietyEnvironmental PollutionJournal of Colloid and Interface Science
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Xiaoyong Liu
73 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 120
- Electrical and Electronic Engineering 376
- Biomedical Engineering 301
- Computer Vision and Pattern Recognition 156
- Aerospace Engineering 152
- Molecular Biology 130
Countries citing papers authored by Xiaoyong Liu
This map shows the geographic impact of Xiaoyong Liu'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 Xiaoyong Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyong Liu more than expected).
Fields of papers citing papers by Xiaoyong Liu
This network shows the impact of papers produced by Xiaoyong Liu. 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 Xiaoyong Liu. The network helps show where Xiaoyong Liu may publish in the future.
Co-authorship network of co-authors of Xiaoyong Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyong Liu. A scholar is included among the top collaborators of Xiaoyong Liu 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 Xiaoyong Liu. Xiaoyong Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 13 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 19 | |
| 12 | 12 | |
| 13 | 8 | |
| 14 | 63 | |
| 15 | 11 | |
| 16 | 1 | |
| 17 | Study on prediction accuracy of radiant models of gasoline pool fire | 0 |
| 18 | 2 | |
| 19 | 53 | |
| 20 | A Study on a Coordinative Immune-Computing Model | 1 |
About Xiaoyong Liu
Xiaoyong Liu is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Medical Laboratory Technology, having authored 80 papers that have together received 1.2k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (6 papers), Topic Modeling (5 papers) and Face and Expression Recognition (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (156 citations), Hardware and Architecture (49 citations) and Surfaces, Coatings and Films (50 citations). Xiaoyong Liu has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Yijun Feng, Junming Zhao, Tian Jiang, Bo Zhu, François Fagotto, Ke Chen, Bin Zhang, Guangquan Zhao, Guangxing Niu and Yuefeng Liu. Their work appears in journals such as Journal of The Electrochemical Society, Environmental Pollution and Journal of Colloid and Interface Science.
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.