Yingzi Liu
- Radiology, Nuclear Medicine and Imaging top 2%
- Radiation top 1%
- Biomedical Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Xiaofeng YangTonghe WangYang LeiWalter J. CurranPretesh PatelAshesh B. JaniHui MaoTian Liu
- Topics
- Medical Imaging Techniques and Applications (16 papers)Advanced Radiotherapy Techniques (15 papers)Radiomics and Machine Learning in Medical Imaging (11 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Yingzi Liu
68 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 142
- Radiology, Nuclear Medicine and Imaging 829
- Radiation 498
- Biomedical Engineering 364
- Computer Vision and Pattern Recognition 355
- Pulmonary and Respiratory Medicine 239
Countries citing papers authored by Yingzi Liu
This map shows the geographic impact of Yingzi 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 Yingzi Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingzi Liu more than expected).
Fields of papers citing papers by Yingzi Liu
This network shows the impact of papers produced by Yingzi 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 Yingzi Liu. The network helps show where Yingzi Liu may publish in the future.
Co-authorship network of co-authors of Yingzi Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Yingzi Liu. A scholar is included among the top collaborators of Yingzi 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 Yingzi Liu. Yingzi 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 | 5 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 34 | |
| 7 | 73 | |
| 8 | 58 | |
| 9 | 18 | |
| 10 | 32 | |
| 11 | 19 | |
| 12 | 23 | |
| 13 | 44 | |
| 14 | 3 | |
| 15 | 11 | |
| 16 | 3 | |
| 17 | 5 | |
| 18 | 26 | |
| 19 | Study on Immunocompetence of Earthworm Injection in vitro | 1 |
| 20 | Effect of swertamarin on gastric ulcer induced by alcohol in mice | 1 |
About Yingzi Liu
Yingzi Liu is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Radiological and Ultrasound Technology, having authored 71 papers that have together received 1.7k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (16 papers), Advanced Radiotherapy Techniques (15 papers) and Radiomics and Machine Learning in Medical Imaging (11 papers). The work is most often cited by research in Radiation (498 citations), Radiology, Nuclear Medicine and Imaging (829 citations) and Health Informatics (34 citations). Yingzi Liu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Xiaofeng Yang, Tonghe Wang, Yang Lei, Walter J. Curran, Pretesh Patel, Ashesh B. Jani, Hui Mao, Tian Liu, Sibo Tian and Tian Liu. Their work appears in journals such as The Science of The Total Environment, Carbohydrate Polymers and Frontiers in Immunology.
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.