Yuting Liao
Impact in
-
- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Health Informatics top 5%
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 31
- Medical Imaging Techniques and Applications 16
- MRI in cancer diagnosis 10
- Radiation Dose and Imaging 8
-
- Lung Cancer Diagnosis and Treatment 7
- Co-authors
- Cunxue Pan (1 shared paper)Xueguo Liu (1 shared paper)Mingqian Huang (1 shared paper)Shaolin Li (2 shared papers)Kunwei Li (1 shared paper)Yinghua Zhong (1 shared paper)Wenjuan Li (1 shared paper)Yijie Fang (1 shared paper)
- Journals
- Frontiers in Oncology (8 papers)European Radiology (4 papers)Cancer Imaging (3 papers)Frontiers in Immunology (3 papers)Physics in Medicine and Biology (3 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Yuting Liao
78 papers receiving 1.4k citations
Yuting Liao's Hit Papers
Peers
Comparison fields: 5 of 124
- Radiology, Nuclear Medicine and Imaging 780
- Health Informatics 41
- Critical Care and Intensive Care Medicine 124
- Infectious Diseases 415
- Neurology 162
Countries citing papers authored by Yuting Liao
This map shows the geographic impact of Yuting Liao'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 Yuting Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuting Liao more than expected).
Fields of papers citing papers by Yuting Liao
This network shows the impact of papers produced by Yuting Liao. 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 Yuting Liao. The network helps show where Yuting Liao may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuting Liao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | CT image visual quantitative evaluation and clinical classification of coronavirus disease (COVID-19) Hit paper breakdown → | 2020 | 476 |
| 2 | 2018 | 108 | |
| 3 | 2020 | 89 | |
| 4 | 2020 | 84 | |
| 5 | 2020 | 58 | |
| 6 | 2022 | 40 | |
| 7 | 2020 | 38 | |
| 8 | 2018 | 36 | |
| 9 | 2018 | 34 | |
| 10 | 2022 | 26 | |
| 11 | 2023 | 19 | |
| 12 | 2021 | 18 | |
| 13 | 2018 | 18 | |
| 14 | 2018 | 16 | |
| 15 | 2021 | 16 | |
| 16 | 2022 | 15 | |
| 17 | 2022 | 15 | |
| 18 | 2022 | 15 | |
| 19 | 2021 | 14 | |
| 20 | 2018 | 14 |
About Yuting Liao
Yuting Liao is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Biomedical Engineering, Infectious Diseases and Oncology, having authored 82 papers that have together received 1.4k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (31 papers), Medical Imaging Techniques and Applications (16 papers), Advanced X-ray and CT Imaging (15 papers), MRI in cancer diagnosis (10 papers), COVID-19 Clinical Research Studies (9 papers), Radiation Dose and Imaging (8 papers), Lung Cancer Diagnosis and Treatment (7 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (780 citations), Health Informatics (41 citations), Critical Care and Intensive Care Medicine (124 citations), Infectious Diseases (415 citations) and Neurology (162 citations). Yuting Liao has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Cunxue Pan, Xueguo Liu, Mingqian Huang, Shaolin Li, Kunwei Li, Yinghua Zhong, Wenjuan Li, Yijie Fang, Peixin Qin and Zhiqi Yang. Their work appears in journals such as Frontiers in Oncology, European Radiology, Cancer Imaging, Frontiers in Immunology and Physics in Medicine and Biology.
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.