Yanxia Liu
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging
- Biomedical Engineering
- Statistical and Nonlinear Physics
- Co-authors
- Qing DuYifan ZhangShuaicheng NiuMingkui TanXin YangSijuan HuangQin ZhangHongyu Shi
- Topics
- Medical Image Segmentation Techniques (4 papers)Radiomics and Machine Learning in Medical Imaging (3 papers)Topic Modeling (3 papers)
In The Last Decade
Yanxia Liu
18 papers receiving 305 citations
Peers
Comparison fields: 5 of 70
- Artificial Intelligence 174
- Computer Vision and Pattern Recognition 148
- Radiology, Nuclear Medicine and Imaging 72
- Biomedical Engineering 28
- Statistical and Nonlinear Physics 18
Countries citing papers authored by Yanxia Liu
This map shows the geographic impact of Yanxia 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 Yanxia Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanxia Liu more than expected).
Fields of papers citing papers by Yanxia Liu
This network shows the impact of papers produced by Yanxia 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 Yanxia Liu. The network helps show where Yanxia Liu may publish in the future.
Co-authorship network of co-authors of Yanxia Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Yanxia Liu. A scholar is included among the top collaborators of Yanxia 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 Yanxia Liu. Yanxia 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 | 0 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 13 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 11 | |
| 10 | 16 | |
| 11 | 91 | |
| 12 | 33 | |
| 13 | 13 | |
| 14 | 3 | |
| 15 | 6 | |
| 16 | Scalability enhanced active-passive-integrated access control model | 1 |
| 17 | 1 | |
| 18 | Eliminate Social Exclusion: Policy Study of Protecting the Disabled Vulnerable Group | 0 |
| 19 | 7 | |
| 20 | The Design and Research of the UML-based Requirement Elicitation Tool | 0 |
About Yanxia Liu
Yanxia Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 22 papers that have together received 315 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Topic Modeling (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (148 citations), Artificial Intelligence (174 citations) and Radiology, Nuclear Medicine and Imaging (72 citations). Yanxia Liu has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Qing Du, Yifan Zhang, Shuaicheng Niu, Mingkui Tan, Xin Yang, Sijuan Huang, Qin Zhang, Hongyu Shi, Zhiqiang Liu and Jianjun Hu. Their work appears in journals such as Scientific Reports, IEEE Access and Pattern Recognition.
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.