Ming Dao
- Mechanics of Materials top 0.05%
- Metal and Thin Film Mechanics 38
- Mechanical Engineering top 0.1%
- Aluminum Alloys Composites Properties 23
- Biomedical Engineering top 0.2%
- Materials Chemistry top 0.5%
- Microstructure and mechanical properties 39
- Physiology top 0.5%
- Erythrocyte Function and Pathophysiology 45
-
- Blood properties and coagulation 43
-
- Hemoglobinopathies and Related Disorders 20
-
- Malaria Research and Control 17
-
- Force Microscopy Techniques and Applications 15
Ming Dao
191 papers receiving 19.7k citations
Hit Papers
Peers
Comparison fields: 5 of 196
- Mechanics of Materials 4.6k
- Mechanical Engineering 5.8k
- Biomedical Engineering 5.6k
- Materials Chemistry 5.9k
- Physiology 3.1k
Countries citing papers authored by Ming Dao
This map shows the geographic impact of Ming Dao'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 Dao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Dao more than expected).
Fields of papers citing papers by Ming Dao
This network shows the impact of papers produced by Ming Dao. 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 Dao. The network helps show where Ming Dao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ming Dao, 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 | 2024 | 8 | |
| 2 | 2024 | 11 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 26 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 4 | |
| 8 | Analyses of internal structures and defects in materials using physics-informed neural networksbreakdown → | 2022 | 221 |
| 9 | 2021 | 28 | |
| 10 | 2021 | 34 | |
| 11 | 2021 | 33 | |
| 12 | 2021 | 15 | |
| 13 | Extraction of mechanical properties of materials through deep learning from instrumented indentationbreakdown → | 2020 | 242 |
| 14 | 2020 | 35 | |
| 15 | 2019 | 55 | |
| 16 | 2019 | 83 | |
| 17 | 2018 | 101 | |
| 18 | 2018 | 62 | |
| 19 | 2018 | 52 | |
| 20 | 2012 | 90 |
About Ming Dao
Ming Dao is a scholar working on Mechanics of Materials, Physiology and Genetics, having authored 192 papers that have together received 20.2k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (45 papers), Blood properties and coagulation (43 papers), Microstructure and mechanical properties (39 papers), Metal and Thin Film Mechanics (38 papers), Aluminum Alloys Composites Properties (23 papers), Hemoglobinopathies and Related Disorders (20 papers), Malaria Research and Control (17 papers) and Force Microscopy Techniques and Applications (15 papers). The work is most often cited by research in Mechanics of Materials (4.6k citations), Mechanical Engineering (5.8k citations) and Biomedical Engineering (5.6k citations). Ming Dao has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include S. Suresh, Subra Suresh, Lei Lu, Chwee Teck Lim, Nuwong Chollacoop, R.J. Asaro, Ju Li, Subra Suresh, George Em Karniadakis and T. A. Venkatesh. Their work appears in journals such as Proceedings of the National Academy of Sciences, Acta Materialia, Biophysical Journal, Scientific Reports and Scripta Materialia.
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.