Ming Y. Lu
Impact in
- Health Informatics top 0.1%
- Artificial Intelligence in Healthcare and Education
-
- Radiomics and Machine Learning in Medical Imaging
Papers in
-
- AI in cancer detection 17
- Machine Learning in Healthcare 3
- Co-authors
- Faisal Mahmood (24 shared papers)Drew F. K. Williamson (19 shared papers)Richard J. Chen (18 shared papers)Tiffany Chen (16 shared papers)Jana Lipková (11 shared papers)Anthony P. Adamis (6 shared papers)Bowen Chen (5 shared papers)Muhammad Shaban (7 shared papers)
- Journals
- Nature Biomedical Engineering (4 papers)Nature Medicine (4 papers)Nucleic Acids Research (3 papers)Journal of Pathology Informatics (3 papers)Blood (2 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Ming Y. Lu
72 papers receiving 5.0k citations
Ming Y. Lu's Hit Papers
Peers
Comparison fields: 5 of 182
- Health Informatics 442
- Radiology, Nuclear Medicine and Imaging 1.1k
- Ophthalmology 383
- Artificial Intelligence 1.5k
- Biophysics 208
Countries citing papers authored by Ming Y. Lu
This map shows the geographic impact of Ming Y. Lu'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 Ming Y. Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Y. Lu more than expected).
Fields of papers citing papers by Ming Y. Lu
This network shows the impact of papers produced by Ming Y. Lu. 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 Ming Y. Lu. The network helps show where Ming Y. Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Y. Lu, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Synthetic data in machine learning for medicine and healthcare Hit paper breakdown → | 2021 | 443 |
| 2 | Towards a general-purpose foundation model for computational pathology Hit paper breakdown → | 2024 | 437 |
| 3 | Artificial intelligence for multimodal data integration in oncology Hit paper breakdown → | 2022 | 383 |
| 4 | 1998 | 342 | |
| 5 | Pan-cancer integrative histology-genomic analysis via multimodal deep learning Hit paper breakdown → | 2022 | 325 |
| 6 | Algorithmic fairness in artificial intelligence for medicine and healthcare Hit paper breakdown → | 2023 | 299 |
| 7 | A visual-language foundation model for computational pathology Hit paper breakdown → | 2024 | 292 |
| 8 | A multimodal generative AI copilot for human pathology Hit paper breakdown → | 2024 | 193 |
| 9 | VEGF increases retinal vascular ICAM-1 expression in vivo. | 1999 | 173 |
| 10 | 2021 | 172 | |
| 11 | 1991 | 153 | |
| 12 | 2020 | 151 | |
| 13 | 1997 | 148 | |
| 14 | Artificial intelligence for digital and computational pathology Hit paper breakdown → | 2023 | 125 |
| 15 | 2010 | 125 | |
| 16 | 1991 | 120 | |
| 17 | 1996 | 101 | |
| 18 | Insulin-induced vascular endothelial growth factor expression in retina. | 1999 | 85 |
| 19 | The HOX11 homeobox-containing gene of human leukemia immortalizes murine hematopoietic precursors. | 1994 | 85 |
| 20 | 2022 | 58 |
About Ming Y. Lu
Ming Y. Lu is a scholar working on Artificial Intelligence, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Surgery and Computer Vision and Pattern Recognition, having authored 78 papers that have together received 5.1k indexed citations. Recurring topics across this work include AI in cancer detection (17 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Artificial Intelligence in Healthcare and Education (5 papers), Acute Lymphoblastic Leukemia research (4 papers), Retinal Diseases and Treatments (4 papers), Hip disorders and treatments (3 papers), Chronic Myeloid Leukemia Treatments (3 papers) and Machine Learning in Healthcare (3 papers). The work is most often cited by research in Health Informatics (442 citations), Radiology, Nuclear Medicine and Imaging (1.1k citations), Ophthalmology (383 citations), Artificial Intelligence (1.5k citations) and Biophysics (208 citations). Ming Y. Lu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Faisal Mahmood, Drew F. K. Williamson, Richard J. Chen, Tiffany Chen, Jana Lipková, Anthony P. Adamis, Bowen Chen, Muhammad Shaban, Anurag Vaidya and Judy J. Wang. Their work appears in journals such as Nature Biomedical Engineering, Nature Medicine, Nucleic Acids Research, Journal of Pathology Informatics and Blood.
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.