Xiaohong Liu
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
-
- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
- Retinal Imaging and Analysis
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 8
- COVID-19 diagnosis using AI 4
- Retinal Imaging and Analysis 3
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- AI in cancer detection 8
- Machine Learning in Healthcare 5
- Privacy-Preserving Technologies in Data 4
- Topic Modeling 4
- Co-authors
- Guangyu Wang (14 shared papers)Yuanhua Feng (2 shared papers)David Bruce Grant (2 shared papers)Alan Campbell McKinnon (2 shared papers)Yuanxu Gao (7 shared papers)Ting Chen (5 shared papers)Yan-Mei Li (1 shared paper)Hiroshi Nakanishi (1 shared paper)
- Journals
- Nature Biomedical Engineering (3 papers)Patterns (3 papers)Applied Artificial Intelligence (2 papers)IEEE Journal of Biomedical and Health Informatics (2 papers)Journal of Mass Spectrometry (1 paper)
- Partner nations
- ChinaUnited KingdomMacao
In The Last Decade
Xiaohong Liu
44 papers receiving 1.7k citations
Xiaohong Liu's Hit Papers
Peers
Comparison fields: 5 of 143
- Health Informatics 203
- Radiology, Nuclear Medicine and Imaging 754
- Health Information Management 96
- Artificial Intelligence 439
- Ophthalmology 81
Countries citing papers authored by Xiaohong Liu
This map shows the geographic impact of Xiaohong 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 Xiaohong Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohong Liu more than expected).
Fields of papers citing papers by Xiaohong Liu
This network shows the impact of papers produced by Xiaohong 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 Xiaohong Liu. The network helps show where Xiaohong Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaohong Liu, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements, and Prognosis of COVID-19 Pneumonia Using Computed Tomography Hit paper breakdown → | 2020 | 695 |
| 2 | Deep-learning models for the detection and incidence prediction of chronic kidney disease and type 2 diabetes from retinal fundus images Hit paper breakdown → | 2021 | 237 |
| 3 | 2021 | 148 | |
| 4 | 2023 | 91 | |
| 5 | 2006 | 77 | |
| 6 | 2024 | 75 | |
| 7 | 2010 | 55 | |
| 8 | 2024 | 32 | |
| 9 | 2022 | 28 | |
| 10 | 2022 | 26 | |
| 11 | 2010 | 24 | |
| 12 | 2005 | 20 | |
| 13 | 2023 | 20 | |
| 14 | 2022 | 17 | |
| 15 | 2005 | 16 | |
| 16 | 2023 | 14 | |
| 17 | 2024 | 14 | |
| 18 | 2024 | 12 | |
| 19 | 2024 | 12 | |
| 20 | 2023 | 10 |
About Xiaohong Liu
Xiaohong Liu is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Health Informatics, Computer Vision and Pattern Recognition and Ophthalmology, having authored 50 papers that have together received 1.7k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (8 papers), AI in cancer detection (8 papers), Machine Learning in Healthcare (5 papers), COVID-19 diagnosis using AI (4 papers), Privacy-Preserving Technologies in Data (4 papers), Topic Modeling (4 papers), Artificial Intelligence in Healthcare and Education (4 papers) and Retinal Imaging and Analysis (3 papers). The work is most often cited by research in Health Informatics (203 citations), Radiology, Nuclear Medicine and Imaging (754 citations), Health Information Management (96 citations), Artificial Intelligence (439 citations) and Ophthalmology (81 citations). Xiaohong Liu has collaborated with scholars based in China, United Kingdom and Macao. Frequent co-authors include Guangyu Wang, Yuanhua Feng, David Bruce Grant, Alan Campbell McKinnon, Yuanxu Gao, Ting Chen, Yan-Mei Li, Hiroshi Nakanishi, Guoxing Yang and Yong‐Xiang Chen. Their work appears in journals such as Nature Biomedical Engineering, Patterns, Applied Artificial Intelligence, IEEE Journal of Biomedical and Health Informatics and Journal of Mass Spectrometry.
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.