Xueyu Liu
- Artificial Intelligence
- Biomedical Engineering
- Radiology, Nuclear Medicine and Imaging
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering
- Co-authors
- Yongfei WuHao FangXiaoshuang ZhouXin WangGuanglin LiMingxing ZhuShixiong ChenOluwarotimi Williams Samuel
- Topics
- AI in cancer detection (16 papers)Medical Image Segmentation Techniques (8 papers)Digital Imaging for Blood Diseases (6 papers)
- Cited by
- Health InformaticsComputer Vision and Pattern RecognitionRadiology, Nuclear Medicine and Imaging
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Xueyu Liu
40 papers receiving 248 citations
Peers
Comparison fields: 5 of 88
- Artificial Intelligence 66
- Biomedical Engineering 65
- Radiology, Nuclear Medicine and Imaging 49
- Computer Vision and Pattern Recognition 43
- Electrical and Electronic Engineering 23
Countries citing papers authored by Xueyu Liu
This map shows the geographic impact of Xueyu 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 Xueyu Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xueyu Liu more than expected).
Fields of papers citing papers by Xueyu Liu
This network shows the impact of papers produced by Xueyu 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 Xueyu Liu. The network helps show where Xueyu Liu may publish in the future.
Co-authorship network of co-authors of Xueyu Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Xueyu Liu. A scholar is included among the top collaborators of Xueyu 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 Xueyu Liu. Xueyu 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 | 3 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 12 | |
| 13 | 1 | |
| 14 | 8 | |
| 15 | 3 | |
| 16 | 3 | |
| 17 | 7 | |
| 18 | 4 | |
| 19 | 13 | |
| 20 | Using of Automatic Code Generation Technique to Develop Control Algorithm of Diesel Electronically Controlled System | 1 |
About Xueyu Liu
Xueyu Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 48 papers that have together received 254 indexed citations. Recurring topics across this work include AI in cancer detection (16 papers), Medical Image Segmentation Techniques (8 papers) and Digital Imaging for Blood Diseases (6 papers). The work is most often cited by research in Health Informatics (4 citations), Computer Vision and Pattern Recognition (43 citations) and Radiology, Nuclear Medicine and Imaging (49 citations). Xueyu Liu has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Yongfei Wu, Hao Fang, Xiaoshuang Zhou, Xin Wang, Guanglin Li, Mingxing Zhu, Shixiong Chen, Oluwarotimi Williams Samuel, Wen Zheng and E. K. Lin. Their work appears in journals such as The Science of The Total Environment, Scientific Reports 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.