Caixia Liu
- Artificial Intelligence top 10%
- Education top 10%
- Computer Science Applications top 5%
- Computer Vision and Pattern Recognition top 10%
- Statistical and Nonlinear Physics top 10%
- Topics
- Medical Image Segmentation Techniques (7 papers)Grey System Theory Applications (7 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaEnvironmental PollutionComputers & Education
- Partner nations
- ChinaHong KongSwitzerland
In The Last Decade
Caixia Liu
52 papers receiving 653 citations
Peers
Comparison fields: 5 of 120
- Artificial Intelligence 129
- Education 102
- Computer Science Applications 87
- Computer Vision and Pattern Recognition 82
- Statistical and Nonlinear Physics 78
Countries citing papers authored by Caixia Liu
This map shows the geographic impact of Caixia 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 Caixia Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caixia Liu more than expected).
Fields of papers citing papers by Caixia Liu
This network shows the impact of papers produced by Caixia 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 Caixia Liu. The network helps show where Caixia Liu may publish in the future.
Co-authorship network of co-authors of Caixia Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Caixia Liu. A scholar is included among the top collaborators of Caixia 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 Caixia Liu. Caixia 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 | 8 | |
| 4 | 8 | |
| 5 | 12 | |
| 6 | 4 | |
| 7 | Two Decades of Artificial Intelligence in Education: Contributors, Collaborations, Research Topics, Challenges, and Future Directions | 89 |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 15 | |
| 11 | 21 | |
| 12 | 17 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 17 | |
| 17 | 10 | |
| 18 | Coupled feedback loops form birhythmicity and inhomogeneous limit cycles of synthetic regulatory networks | 1 |
| 19 | 17 | |
| 20 | Novel method of color image enhancement | 0 |
About Caixia Liu
Caixia Liu is a scholar working on Urban Studies, Computer Vision and Pattern Recognition and Media Technology, having authored 57 papers that have together received 679 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (7 papers), Grey System Theory Applications (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). The work is most often cited by research in Computer Science Applications (87 citations), Health Informatics (12 citations) and Statistical and Nonlinear Physics (78 citations). Caixia Liu has collaborated with scholars based in China, Hong Kong and Switzerland. Frequent co-authors include Mingyong Pang, Zhongling Pi, Jiumin Yang, Di Zou, Haoran Xie, Xieling Chen, Ruibin Zhao, Shuxin Liu, Gary Cheng and Ke Xu. Their work appears in journals such as SHILAP Revista de lepidopterología, Environmental Pollution and Computers & Education.
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.