Ming Y. Lu

8.6k total citations · 8 hit papers
76 papers, 4.7k citations indexed

About

Ming Y. Lu is a scholar working on Artificial Intelligence, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ming Y. Lu has authored 76 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 19 papers in Molecular Biology and 15 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ming Y. Lu's work include AI in cancer detection (17 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Artificial Intelligence in Healthcare and Education (6 papers). Ming Y. Lu is often cited by papers focused on AI in cancer detection (17 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Artificial Intelligence in Healthcare and Education (6 papers). Ming Y. Lu collaborates with scholars based in United States, China and Canada. Ming Y. Lu's 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 and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Ming Y. Lu

70 papers receiving 4.6k citations

Hit Papers

Synthetic data in machine learning for medicine and healt... 2021 2026 2022 2024 2021 2022 2024 2022 2023 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Synthetic data in machine learning for medicine and healthcare
    2021 414 citations Richard J. Chen, Ming Y. Lu et al. Nature Biomedical Engineering profile →
  2. Artificial intelligence for multimodal data integration in oncology
    2022 333 citations Jana Lipková, Richard J. Chen et al. Cancer Cell profile →
  3. Towards a general-purpose foundation model for computational pathology
    2024 331 citations Richard J. Chen, Ming Y. Lu et al. profile →
  4. Pan-cancer integrative histology-genomic analysis via multimodal deep learning
    2022 291 citations Richard J. Chen, Ming Y. Lu et al. Cancer Cell profile →
  5. Algorithmic fairness in artificial intelligence for medicine and healthcare
    2023 253 citations Richard J. Chen, Drew F. K. Williamson et al. Nature Biomedical Engineering profile →
  6. A visual-language foundation model for computational pathology
    2024 228 citations Ming Y. Lu, Bowen Chen et al. profile →
  7. A multimodal generative AI copilot for human pathology
    2024 156 citations Ming Y. Lu, Bowen Chen et al. profile →
  8. Artificial intelligence for digital and computational pathology
    2023 103 citations Drew F. K. Williamson, Ming Y. Lu et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Y. Lu United States 33 1.5k 1.4k 1.3k 473 462 76 4.7k
Yun Liu United States 29 2.0k 1.3× 2.4k 1.8× 508 0.4× 719 1.5× 877 1.9× 112 5.4k
Yifan Peng United States 29 1.2k 0.8× 959 0.7× 928 0.7× 306 0.6× 459 1.0× 169 3.1k
Marc Coram United States 19 1.2k 0.8× 2.9k 2.2× 756 0.6× 1.6k 3.3× 648 1.4× 30 6.2k
Jason Hipp United States 24 1.2k 0.8× 849 0.6× 915 0.7× 86 0.2× 305 0.7× 58 2.9k
David Snead United Kingdom 39 2.4k 1.6× 2.3k 1.7× 588 0.5× 314 0.7× 181 0.4× 128 6.6k
Qingyu Chen China 27 895 0.6× 608 0.4× 835 0.6× 392 0.8× 244 0.5× 134 3.0k
Wei Qian China 37 1.2k 0.8× 2.1k 1.6× 879 0.7× 168 0.4× 81 0.2× 234 4.9k
Takeshi Hara Japan 37 901 0.6× 2.2k 1.6× 524 0.4× 700 1.5× 81 0.2× 327 5.5k
Kun‐Hsing Yu United States 28 1.2k 0.8× 1.3k 0.9× 503 0.4× 49 0.1× 970 2.1× 58 4.2k
Kostas Marias Greece 29 633 0.4× 1.1k 0.8× 236 0.2× 156 0.3× 130 0.3× 265 3.6k

Countries citing papers authored by Ming Y. Lu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Ming Y. Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Y. Lu. A scholar is included among the top collaborators of Ming Y. Lu 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 Ming Y. Lu. Ming Y. Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yuan, Huangbo, Yanfeng Jiang, Zhenqiu Liu, et al.. (2025). Leveraging biomarkers and primary care embedding for scalable precision cancer prevention in China: Insights from the FuSion study. The Innovation. 7(3). 101189–101189.
2.
Xu, Yunfeng, Chao Feng, Yuan Ma, et al.. (2025). Robot-assisted percutaneous cannulated screw fixation in the treatment of slipped capital femoral epiphysis. Journal of Children s Orthopaedics. 19(2). 158–165.
3.
Yang, Rui, et al.. (2024). A high-available segmentation algorithm for corn leaves and leaf spot disease based on feature fusion. Crop Protection. 187. 106957–106957. 3 indexed citations
4.
Lu, Ming Y., et al.. (2024). Deep hyperbolic convolutional model for knowledge graph embedding. Knowledge-Based Systems. 300. 112183–112183. 4 indexed citations
5.
6.
Song, Mingzhi, Junwei Zong, Shouyu Wang, et al.. (2024). Establishment of skin cutaneous melanoma prognosis model based on vascular mimicry risk score. Medicine. 103(7). e36679–e36679. 1 indexed citations
7.
Wang, Xingkai, et al.. (2023). Transcriptome analysis based on machine learning reveals a role for autoinflammatory genes of chronic nonbacterial osteomyelitis (CNO). Scientific Reports. 13(1). 6514–6514. 3 indexed citations
8.
Lipková, Jana, Richard J. Chen, Bowen Chen, et al.. (2022). Artificial intelligence for multimodal data integration in oncology. Cancer Cell. 40(10). 1095–1110. 333 indexed citations breakdown →
9.
Chen, Chengkuan, et al.. (2022). Fast and scalable search of whole-slide images via self-supervised deep learning. Nature Biomedical Engineering. 6(12). 1420–1434. 55 indexed citations
10.
Chen, Richard J., Ming Y. Lu, Tiffany Chen, Drew F. K. Williamson, & Faisal Mahmood. (2021). Synthetic data in machine learning for medicine and healthcare. Nature Biomedical Engineering. 5(6). 493–497. 414 indexed citations breakdown →
11.
Gao, Feng, Bo Hu, Wei Yuan, et al.. (2021). Clinical Outcomes of Hip Arthroscopy for Hip Labrum Calcification in Young and Middle‐Aged Patients. Orthopaedic Surgery. 13(4). 1244–1253. 2 indexed citations
12.
13.
Gao, Feng, Bo Hu, Ming Y. Lu, et al.. (2020). Outcomes of Hip Arthroscopy for Femoroacetabular Impingement in Chinese Patients Aged 50 Years or Older. Orthopaedic Surgery. 12(3). 843–851. 13 indexed citations
14.
Hu, Bo, et al.. (2020). A comparative analysis of the efficacy of anterior cruciate ligament reconstruction with autologous ligament grafting at different time points. Journal of Clinical Laboratory Analysis. 34(12). e23543–e23543. 5 indexed citations
15.
Lu, Ming Y., Guixing Qiu, & Xisheng Weng. (2008). Orthopedics Tool Measurement Apparatus Based on three-dimensional Space Measurement. 12(39). 7793–7796.
16.
Lu, Ming Y. & Anthony P. Adamis. (2004). Ocular Delivery of Angiostatic Agents. International Ophthalmology Clinics. 44(3). 41–51. 1 indexed citations
17.
Popovici, R., Ming Y. Lu, Sangeeta N. Bhatia, et al.. (2001). Hypoxia Regulates Insulin-Like Growth Factor-Binding Protein 1 in Human Fetal Hepatocytes in Primary Culture: Suggestive Molecular Mechanisms forin UteroFetal Growth Restriction Caused by Uteroplacental Insufficiency1. The Journal of Clinical Endocrinology & Metabolism. 86(6). 2653–2659. 57 indexed citations
18.
Zhang, Nan, Wei-Fang Shen, Robert G. Hawley, & Ming Y. Lu. (1999). HOX11 interacts with CTF1 and mediates hematopoietic precursor cell immortalization. Oncogene. 18(13). 2273–2279. 17 indexed citations
19.
Lu, Ming Y., Manabu Kuroki, Seiji Amano, et al.. (1998). Advanced glycation end products increase retinal vascular endothelial growth factor expression.. Journal of Clinical Investigation. 101(6). 1219–1224. 343 indexed citations
20.

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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