Ivy Liang

922 citations
3 papers · 385 indexed · 2 hit papers · h-index 2
Topics
AI in cancer detection (2 papers)Biomedical Text Mining and Ontologies (2 papers)Digital Imaging for Blood Diseases (1 paper)
Journals
NatureNature MedicineInternational Journal of Social Science and Economic Research
Partner nations
United StatesSouth Korea

In The Last Decade

Ivy Liang

2 papers receiving 373 citations

Hit Papers

A visual-language foundation model for computational path...2024202620252024202450100150200

Peers

Ivy Liang
Comparison fields: 5 of 70
  • Artificial Intelligence 228
  • Radiology, Nuclear Medicine and Imaging 161
  • Computer Vision and Pattern Recognition 72
  • Health Informatics 72
  • Molecular Biology 52
Replace Luca L. Weishaupt with:
Luca L. Weishaupt United States
Ronnachai Jaroensri United States
Ankush Patel United States
Marko van Treeck Germany
Vipul Baxi United States
Peter Truszkowski United States
Hammad Qureshi Pakistan
Charles Maussion France
Jim Diamond United Kingdom
Andrew Zhang United States
Ivy Liang relative to Luca L. Weishaupt United States Luca L. Weishaupt's profile →
Citations per field
00.5×1.5×
Luca L. Weishaupt · 1×
Citations per year

Countries citing papers authored by Ivy Liang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Ivy Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Ivy Liang. A scholar is included among the top collaborators of Ivy Liang 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 Ivy Liang. Ivy Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
#WorkIndexed citations
1
A multimodal generative AI copilot for human pathologybreakdown →
156
2
A visual-language foundation model for computational pathologybreakdown →
228
3 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) and Digital Imaging for Blood Diseases (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.

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