Ivy Liang

922 total citations · 2 hit papers
3 papers, 385 citations indexed

About

Ivy Liang is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ivy Liang has authored 3 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Artificial Intelligence and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Ivy Liang's work include AI in cancer detection (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Digital Imaging for Blood Diseases (1 paper). Ivy Liang is often cited by papers focused on AI in cancer detection (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Digital Imaging for Blood Diseases (1 paper). Ivy Liang collaborates with scholars based in United States and South Korea. Ivy Liang's 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 and has published in prestigious journals such as Nature, Nature Medicine and International Journal of Social Science and Economic Research.

In The Last Decade

Ivy Liang

2 papers receiving 373 citations

Hit Papers

A visual-language foundation model for computational path... 2024 2026 2025 2024 2024 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ivy Liang United States 2 228 161 72 72 52 3 385
Ronnachai Jaroensri United States 5 200 0.9× 151 0.9× 61 0.8× 54 0.8× 44 0.8× 7 328
Luca L. Weishaupt United States 3 288 1.3× 225 1.4× 85 1.2× 83 1.2× 65 1.3× 6 499
Peter Truszkowski United States 2 211 0.9× 187 1.2× 41 0.6× 66 0.9× 45 0.9× 2 341
Ankush Patel United States 8 181 0.8× 120 0.7× 34 0.5× 72 1.0× 39 0.8× 19 324
Marko van Treeck Germany 11 209 0.9× 178 1.1× 35 0.5× 50 0.7× 45 0.9× 21 345
Nick Weiss Germany 10 176 0.8× 151 0.9× 104 1.4× 31 0.4× 39 0.8× 16 353
Emmanuel Agosto‐Arroyo United States 5 207 0.9× 148 0.9× 47 0.7× 48 0.7× 44 0.8× 11 327
Lorraine Corsale United States 6 237 1.0× 124 0.8× 47 0.7× 35 0.5× 25 0.5× 6 301
Hammad Qureshi Pakistan 8 167 0.7× 107 0.7× 83 1.2× 37 0.5× 29 0.6× 24 321
Jesper Molin Sweden 8 242 1.1× 123 0.8× 68 0.9× 27 0.4× 27 0.5× 18 318

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
1.
Lu, Ming Y., Bowen Chen, Drew F. K. Williamson, et al.. (2024). A multimodal generative AI copilot for human pathology. Nature. 634(8033). 466–473. 156 indexed citations breakdown →
2.
Lu, Ming Y., Bowen Chen, Drew F. K. Williamson, et al.. (2024). A visual-language foundation model for computational pathology. Nature Medicine. 30(3). 863–874. 228 indexed citations breakdown →
3.
Liang, Ivy, et al.. (2021). INCORPORATING ABSTRACT KNOWLEDGE STRUCTURES IN MACHINE LEARNING: IMPROVING QUESTION ANSWERING, PROBLEM SOLVING AND TEACHING IN PERSONAL ASSISTANTS AND EDUCATIONAL SOFTWARE .. International Journal of Social Science and Economic Research. 6(2). 661–673. 1 indexed citations

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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