Ming Y. Lu
- Health Informatics top 0.1%
- Artificial Intelligence in Healthcare and Education 6
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- Radiomics and Machine Learning in Medical Imaging 10
- Ophthalmology top 1%
- Retinal Diseases and Treatments 5
- Artificial Intelligence top 0.5%
- AI in cancer detection 17
- Biophysics top 1%
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- Spinal Fractures and Fixation Techniques 4
- Orthopaedic implants and arthroplasty 4
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- Acute Lymphoblastic Leukemia research 4
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- Chronic Lymphocytic Leukemia Research 3
Ming Y. Lu
70 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Health Informatics 462
- Radiology, Nuclear Medicine and Imaging 1.4k
- Ophthalmology 473
- Artificial Intelligence 1.5k
- Biophysics 218
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 3 | |
| 8 | Artificial intelligence for multimodal data integration in oncologybreakdown → | 2022 | 333 |
| 9 | 2022 | 55 | |
| 10 | Synthetic data in machine learning for medicine and healthcarebreakdown → | 2021 | 414 |
| 11 | 2021 | 2 | |
| 12 | 2020 | 23 | |
| 13 | 2020 | 13 | |
| 14 | 2020 | 5 | |
| 15 | Orthopedics Tool Measurement Apparatus Based on three-dimensional Space Measurement | 2008 | 0 |
| 16 | 2004 | 1 | |
| 17 | 2001 | 57 | |
| 18 | 1999 | 17 | |
| 19 | 1998 | 343 | |
| 20 | 1994 | 34 |
About Ming Y. Lu
Ming Y. Lu is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Ophthalmology and Immunology and Allergy, having authored 76 papers that have together received 4.7k 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 (6 papers), Retinal Diseases and Treatments (5 papers), Spinal Fractures and Fixation Techniques (4 papers), Orthopaedic implants and arthroplasty (4 papers), Acute Lymphoblastic Leukemia research (4 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Health Informatics (462 citations), Radiology, Nuclear Medicine and Imaging (1.4k citations), Ophthalmology (473 citations), Artificial Intelligence (1.5k citations) and Biophysics (218 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, Anthony P. Adamis, Jana Lipková, Bowen Chen, Muhammad Shaban, Karen Keough and Anurag Vaidya. Their work appears in journals such as Nature Medicine, Nature Biomedical Engineering, Nucleic Acids Research, Journal of Pathology Informatics and Diabetes.
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.