Yun Liu
Impact in
- Health Informatics top 0.05%
- Artificial Intelligence in Healthcare and Education
-
- Radiomics and Machine Learning in Medical Imaging
- Retinal Imaging and Analysis
- COVID-19 diagnosis using AI
Papers in
-
- AI in cancer detection 9
- Topic Modeling 5
- Natural Language Processing Techniques 4
-
- Retinal Imaging and Analysis 14
- Radiomics and Machine Learning in Medical Imaging 6
- COVID-19 diagnosis using AI 5
- Co-authors
- Lily Peng (14 shared papers)Po-Hsuan Cameron Chen (12 shared papers)Greg S. Corrado (24 shared papers)Dale R. Webster (18 shared papers)Avinash V. Varadarajan (5 shared papers)Ryan Poplin (1 shared paper)Katy Blumer (1 shared paper)Michael V. McConnell (1 shared paper)
- Journals
- Nature Biomedical Engineering (5 papers)PLoS ONE (3 papers)npj Digital Medicine (3 papers)The Lancet Digital Health (3 papers)Ophthalmology and Therapy (2 papers)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Yun Liu
100 papers receiving 5.5k citations
Yun Liu's Hit Papers
Peers
Comparison fields: 5 of 192
- Health Informatics 781
- Radiology, Nuclear Medicine and Imaging 2.0k
- Health Information Management 297
- Ophthalmology 487
- Artificial Intelligence 1.8k
Countries citing papers authored by Yun Liu
This map shows the geographic impact of Yun 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 Yun Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun Liu more than expected).
Fields of papers citing papers by Yun Liu
This network shows the impact of papers produced by Yun 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 Yun Liu. The network helps show where Yun Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yun 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 112 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning Hit paper breakdown → | 2018 | 1054 |
| 2 | Deep learning-enabled medical computer vision Hit paper breakdown → | 2021 | 772 |
| 3 | 2019 | 346 | |
| 4 | Impact of Deep Learning Assistance on the Histopathologic Review of Lymph Nodes for Metastatic Breast Cancer Hit paper breakdown → | 2018 | 320 |
| 5 | Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer Hit paper breakdown → | 2019 | 312 |
| 6 | 2018 | 253 | |
| 7 | 2018 | 203 | |
| 8 | 2019 | 195 | |
| 9 | 2019 | 189 | |
| 10 | 2019 | 178 | |
| 11 | 2020 | 168 | |
| 12 | 2019 | 142 | |
| 13 | 2019 | 130 | |
| 14 | 2021 | 96 | |
| 15 | 2021 | 89 | |
| 16 | 2012 | 79 | |
| 17 | 2021 | 69 | |
| 18 | 2023 | 66 | |
| 19 | 2019 | 65 | |
| 20 | 2009 | 59 |
About Yun Liu
Yun Liu is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Computer Vision and Pattern Recognition and Oncology, having authored 112 papers that have together received 5.7k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (14 papers), Artificial Intelligence in Healthcare and Education (9 papers), AI in cancer detection (9 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Topic Modeling (5 papers), Retinal Diseases and Treatments (5 papers), COVID-19 diagnosis using AI (5 papers) and Natural Language Processing Techniques (4 papers). The work is most often cited by research in Health Informatics (781 citations), Radiology, Nuclear Medicine and Imaging (2.0k citations), Health Information Management (297 citations), Ophthalmology (487 citations) and Artificial Intelligence (1.8k citations). Yun Liu has collaborated with scholars based in United States, China and India. Frequent co-authors include Lily Peng, Po-Hsuan Cameron Chen, Greg S. Corrado, Dale R. Webster, Avinash V. Varadarajan, Ryan Poplin, Katy Blumer, Michael V. McConnell, Martin C. Stumpe and Jason Hipp. Their work appears in journals such as Nature Biomedical Engineering, PLoS ONE, npj Digital Medicine, The Lancet Digital Health and Ophthalmology and Therapy.
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.