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
-
- Radiomics and Machine Learning in Medical Imaging 11
-
- AI in cancer detection 20
- Co-authors
- Faisal Mahmood (26 shared papers)Drew F. K. Williamson (20 shared papers)Richard J. Chen (18 shared papers)Tiffany Chen (16 shared papers)Jana Lipková (9 shared papers)Bowen Chen (6 shared papers)Anthony P. Adamis (6 shared papers)Muhammad Shaban (6 shared papers)
- Journals
- Nature Biomedical Engineering (5 papers)Nature Medicine (5 papers)Cancer Cell (3 papers)Journal of Pathology Informatics (3 papers)Nucleic Acids Research (3 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Ming Y. Lu
75 papers receiving 5.9k citations
Ming Y. Lu's Hit Papers
Peers
Comparison fields: 5 of 181
- Health Informatics 500
- Radiology, Nuclear Medicine and Imaging 1.3k
- Ophthalmology 449
- Artificial Intelligence 1.9k
- Biophysics 253
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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Towards a general-purpose foundation model for computational pathology Hit paper breakdown → | 2024 | 588 |
| 2 | Synthetic data in machine learning for medicine and healthcare Hit paper breakdown → | 2021 | 491 |
| 3 | Artificial intelligence for multimodal data integration in oncology Hit paper breakdown → | 2022 | 434 |
| 4 | Algorithmic fairness in artificial intelligence for medicine and healthcare Hit paper breakdown → | 2023 | 384 |
| 5 | A visual-language foundation model for computational pathology Hit paper breakdown → | 2024 | 383 |
| 6 | 1998 | 380 | |
| 7 | Pan-cancer integrative histology-genomic analysis via multimodal deep learning Hit paper breakdown → | 2022 | 374 |
| 8 | A multimodal generative AI copilot for human pathology Hit paper breakdown → | 2024 | 239 |
| 9 | Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images Hit paper breakdown → | 2021 | 224 |
| 10 | VEGF increases retinal vascular ICAM-1 expression in vivo. | 1999 | 192 |
| 11 | Artificial intelligence for digital and computational pathology Hit paper breakdown → | 2023 | 170 |
| 12 | 2020 | 166 | |
| 13 | 1997 | 161 | |
| 14 | 1991 | 159 | |
| 15 | 2010 | 135 | |
| 16 | 1991 | 128 | |
| 17 | 1996 | 95 | |
| 18 | Insulin-induced vascular endothelial growth factor expression in retina. | 1999 | 90 |
| 19 | The HOX11 homeobox-containing gene of human leukemia immortalizes murine hematopoietic precursors. | 1994 | 87 |
| 20 | 2022 | 72 |
About Ming Y. Lu
Ming Y. Lu is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Health Informatics, Ophthalmology and Computer Vision and Pattern Recognition, having authored 80 papers that have together received 6.0k indexed citations. Recurring topics across this work include AI in cancer detection (20 papers), Radiomics and Machine Learning in Medical Imaging (11 papers), Artificial Intelligence in Healthcare and Education (6 papers), Retinal Diseases and Treatments (5 papers), Cell Image Analysis Techniques (4 papers), Acute Lymphoblastic Leukemia research (4 papers), Glaucoma and retinal disorders (4 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Health Informatics (500 citations), Radiology, Nuclear Medicine and Imaging (1.3k citations), Ophthalmology (449 citations), Artificial Intelligence (1.9k citations) and Biophysics (253 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, Bowen Chen, Anthony P. Adamis, Muhammad Shaban, Anurag Jayant Vaidya and Judy Jiaqi Wang. Their work appears in journals such as Nature Biomedical Engineering, Nature Medicine, Cancer Cell, Journal of Pathology Informatics and Nucleic Acids 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.