Judy J. Wang
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Health Informatics top 0.5%
- Computer Vision and Pattern Recognition top 10%
- Oncology
- Co-authors
- Ming Y. LuRichard J. ChenFaisal MahmoodDrew F. K. WilliamsonSharifa SahaiTiffany ChenJana LipkováBowen Chen
- Topics
- Economic and Financial Impacts of Cancer (2 papers)Innovations in Medical Education (2 papers)Biomedical Text Mining and Ontologies (2 papers)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Judy J. Wang
13 papers receiving 758 citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Artificial Intelligence 386
- Radiology, Nuclear Medicine and Imaging 278
- Health Informatics 187
- Computer Vision and Pattern Recognition 96
- Oncology 83
Countries citing papers authored by Judy J. Wang
This map shows the geographic impact of Judy J. Wang'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 Judy J. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Judy J. Wang more than expected).
Fields of papers citing papers by Judy J. Wang
This network shows the impact of papers produced by Judy J. Wang. 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 Judy J. Wang. The network helps show where Judy J. Wang may publish in the future.
Co-authorship network of co-authors of Judy J. Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Judy J. Wang. A scholar is included among the top collaborators of Judy J. Wang 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 Judy J. Wang. Judy J. Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | A multimodal generative AI copilot for human pathologybreakdown → | 156 |
| 3 | Towards a general-purpose foundation model for computational pathologybreakdown → | 331 |
| 4 | Algorithmic fairness in artificial intelligence for medicine and healthcarebreakdown → | 253 |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 12 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 8 | |
| 12 | 3 | |
| 13 | 3 |
About Judy J. Wang
Judy J. Wang is a scholar working on Health Informatics, Medical Laboratory Technology and Otorhinolaryngology, having authored 13 papers that have together received 779 indexed citations. Recurring topics across this work include Economic and Financial Impacts of Cancer (2 papers), Innovations in Medical Education (2 papers) and Biomedical Text Mining and Ontologies (2 papers). The work is most often cited by research in Health Informatics (187 citations), Artificial Intelligence (386 citations) and Radiology, Nuclear Medicine and Imaging (278 citations). Judy J. Wang has collaborated with scholars based in United States and South Korea. Frequent co-authors include Ming Y. Lu, Richard J. Chen, Faisal Mahmood, Drew F. K. Williamson, Sharifa Sahai, Tiffany Chen, Jana Lipková, Bowen Chen, Tong Ding and Long P. Le. Their work appears in journals such as Nature, Nature Medicine and Journal of Clinical Oncology.
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.