Yunbi Liu
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Pulmonary and Respiratory Medicine
- Co-authors
- Wei YangQianjin FengMingxia LiuDinggang ShenWufan ChenZhentai LuGenggeng QinPew‐Thian Yap
- Topics
- Radiomics and Machine Learning in Medical Imaging (6 papers)COVID-19 diagnosis using AI (6 papers)Advanced X-ray and CT Imaging (6 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yunbi Liu
15 papers receiving 362 citations
Peers
Comparison fields: 5 of 65
- Radiology, Nuclear Medicine and Imaging 218
- Artificial Intelligence 113
- Computer Vision and Pattern Recognition 87
- Biomedical Engineering 71
- Pulmonary and Respiratory Medicine 59
Countries citing papers authored by Yunbi Liu
This map shows the geographic impact of Yunbi 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 Yunbi Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunbi Liu more than expected).
Fields of papers citing papers by Yunbi Liu
This network shows the impact of papers produced by Yunbi 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 Yunbi Liu. The network helps show where Yunbi Liu may publish in the future.
Co-authorship network of co-authors of Yunbi Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Yunbi Liu. A scholar is included among the top collaborators of Yunbi 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 Yunbi Liu. Yunbi 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 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 10 | |
| 7 | 16 | |
| 8 | 22 | |
| 9 | 39 | |
| 10 | 85 | |
| 11 | 9 | |
| 12 | 10 | |
| 13 | 24 | |
| 14 | 22 | |
| 15 | 1 | |
| 16 | 43 | |
| 17 | 81 |
About Yunbi Liu
Yunbi Liu is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging and Health Information Management, having authored 17 papers that have together received 368 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), COVID-19 diagnosis using AI (6 papers) and Advanced X-ray and CT Imaging (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (218 citations), Health Informatics (10 citations) and Neurology (48 citations). Yunbi Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Wei Yang, Qianjin Feng, Mingxia Liu, Dinggang Shen, Wufan Chen, Zhentai Lu, Genggeng Qin, Pew‐Thian Yap, Erkun Yang and Liming Zhong. Their work appears in journals such as IEEE Access, Medical Image Analysis and Computer Methods and Programs in Biomedicine.
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.