Ivy Liang
- Health Informatics top 2%
- Artificial Intelligence top 5%
- AI in cancer detection 2
- Machine Learning in Healthcare 1
- Biophysics top 10%
-
- Digital Imaging for Blood Diseases 1
-
- Biomedical Text Mining and Ontologies 2
- Co-authors
- Anil V. ParwaniBowen ChenFaisal MahmoodMing Y. LuRichard J. ChenTong DingGeorg K. GerberDrew F. K. Williamson
- Journals
- Nature (1 paper)Nature Medicine (1 paper)International Journal of Social Science and Economic Research (1 paper)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Ivy Liang
2 papers receiving 373 citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Health Informatics 72
- Artificial Intelligence 228
- Radiology, Nuclear Medicine and Imaging 161
- Biophysics 33
- Computer Vision and Pattern Recognition 72
Countries citing papers authored by Ivy Liang
This map shows the geographic impact of Ivy Liang'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 Ivy Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivy Liang more than expected).
Fields of papers citing papers by Ivy Liang
This network shows the impact of papers produced by Ivy Liang. 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 Ivy Liang. The network helps show where Ivy Liang may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Ivy Liang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A multimodal generative AI copilot for human pathologybreakdown → | 2024 | 156 |
| 2 | A visual-language foundation model for computational pathologybreakdown → | 2024 | 228 |
| 3 | 2021 | 1 |
About Ivy Liang
Ivy Liang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology, having authored 3 papers that have together received 385 indexed citations. Recurring topics across this work include AI in cancer detection (2 papers), Biomedical Text Mining and Ontologies (2 papers), Digital Imaging for Blood Diseases (1 paper) and Machine Learning in Healthcare (1 paper). The work is most often cited by research in Health Informatics (72 citations), Artificial Intelligence (228 citations) and Radiology, Nuclear Medicine and Imaging (161 citations). Ivy Liang has collaborated with scholars based in United States and South Korea. Frequent co-authors include Anil V. Parwani, Bowen Chen, Faisal Mahmood, Ming Y. Lu, Richard J. Chen, Tong Ding, Georg K. Gerber, Drew F. K. Williamson, Long P. Le and Igor Odintsov. Their work appears in journals such as Nature, Nature Medicine and International Journal of Social Science and Economic Research.
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.