May D. Wang
Impact in
- Health Informatics top 0.5%
- Biophysics top 0.2%
Papers in
-
- Gene expression and cancer classification 50
- Bioinformatics and Genomic Networks 34
- Molecular Biology Techniques and Applications 26
- Genomics and Phylogenetic Studies 16
-
- AI in cancer detection 37
- Machine Learning in Healthcare 27
- Co-authors
- Shuming Nie (19 shared papers)Andrew N. Young (27 shared papers)K.D. Srivastava (4 shared papers)A.J. Vandermaar (3 shared papers)John H. Phan (60 shared papers)Tong Li (27 shared papers)Todd H. Stokes (25 shared papers)Dong M. Shin (2 shared papers)
- Journals
- IEEE Journal of Biomedical and Health Informatics (9 papers)IEEE Reviews in Biomedical Engineering (7 papers)BMC Bioinformatics (6 papers)Scientific Reports (4 papers)Journal of the Association for Information Systems (4 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
May D. Wang
344 papers receiving 12.3k citations
May D. Wang's Hit Papers
Peers
Comparison fields: 5 of 217
- Health Informatics 237
- Biophysics 865
- Health Information Management 409
- Electronic, Optical and Magnetic Materials 1.7k
- Molecular Biology 4.2k
Countries citing papers authored by May D. Wang
This map shows the geographic impact of May D. 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 May D. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites May D. Wang more than expected).
Fields of papers citing papers by May D. Wang
This network shows the impact of papers produced by May D. 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 May D. Wang. The network helps show where May D. Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside May D. Wang, 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 368 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | In vivo tumor targeting and spectroscopic detection with surface-enhanced Raman nanoparticle tags Hit paper breakdown → | 2007 | 1973 |
| 2 | GoMiner: a resource for biological interpretation of genomic and proteomic data Hit paper breakdown → | 2003 | 1010 |
| 3 | Review of condition assessment of power transformers in service Hit paper breakdown → | 2002 | 776 |
| 4 | Semiconductor Quantum Dots for Bioimaging and Biodiagnostic Applications Hit paper breakdown → | 2013 | 580 |
| 5 | Multimodal deep learning models for early detection of Alzheimer’s disease stage Hit paper breakdown → | 2021 | 473 |
| 6 | 2007 | 439 | |
| 7 | 2014 | 292 | |
| 8 | 2016 | 230 | |
| 9 | 2013 | 208 | |
| 10 | 2007 | 187 | |
| 11 | 2009 | 181 | |
| 12 | 2010 | 177 | |
| 13 | 2010 | 168 | |
| 14 | 2010 | 145 | |
| 15 | 2014 | 138 | |
| 16 | 2008 | 132 | |
| 17 | 2014 | 126 | |
| 18 | 2005 | 119 | |
| 19 | 2016 | 110 | |
| 20 | 2007 | 109 |
About May D. Wang
May D. Wang is a scholar working on Molecular Biology, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 368 papers that have together received 12.6k indexed citations. Recurring topics across this work include Gene expression and cancer classification (50 papers), AI in cancer detection (37 papers), Bioinformatics and Genomic Networks (34 papers), Machine Learning in Healthcare (27 papers), Molecular Biology Techniques and Applications (26 papers), Radiomics and Machine Learning in Medical Imaging (18 papers), COVID-19 diagnosis using AI (17 papers) and Genomics and Phylogenetic Studies (16 papers). The work is most often cited by research in Health Informatics (237 citations), Biophysics (865 citations), Health Information Management (409 citations), Electronic, Optical and Magnetic Materials (1.7k citations) and Molecular Biology (4.2k citations). May D. Wang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Shuming Nie, Andrew N. Young, K.D. Srivastava, A.J. Vandermaar, John H. Phan, Tong Li, Todd H. Stokes, Dong M. Shin, Qiqin Yin-Goen and Janani Venugopalan. Their work appears in journals such as IEEE Journal of Biomedical and Health Informatics, IEEE Reviews in Biomedical Engineering, BMC Bioinformatics, Scientific Reports and Journal of the Association for Information Systems.
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.