M. S. Wang
Impact in
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- Astronomy and Astrophysical Research
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- Cosmology and Gravitation Theories
- Galaxies: Formation, Evolution, Phenomena
- Radio Astronomy Observations and Technology
Papers in
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- Cosmology and Gravitation Theories 6
- Galaxies: Formation, Evolution, Phenomena 4
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- Computational Physics and Python Applications 1
- Neural Networks and Applications 1
- Co-authors
- K. E. Spear (2 shared papers)Florian Beutler (3 shared papers)David Bacon (1 shared paper)S. Àvila (3 shared papers)Robert Crittenden (2 shared papers)Alexandre Perera-Lluna (1 shared paper)D. Bianchi (2 shared papers)Ricardo Gutiérrez‐Osuna (1 shared paper)
- Journals
- Monthly Notices of the Royal Astronomical Society (3 papers)Calphad (1 paper)Astronomy and Astrophysics (1 paper)IEEE Transactions on Electron Devices (1 paper)Journal of Cosmology and Astroparticle Physics (1 paper)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
M. S. Wang
10 papers receiving 126 citations
Peers
Comparison fields: 5 of 44
- Instrumentation 15
- Astronomy and Astrophysics 57
- General Materials Science 8
- Condensed Matter Physics 11
- Nuclear and High Energy Physics 11
Countries citing papers authored by M. S. Wang
This map shows the geographic impact of M. S. 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 M. S. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. S. Wang more than expected).
Fields of papers citing papers by M. S. Wang
This network shows the impact of papers produced by M. S. 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 M. S. Wang. The network helps show where M. S. Wang may publish in the future.
Co-authors
The 20 scholars most cited alongside M. S. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 27 | |
| 2 | 2020 | 23 | |
| 3 | 1981 | 20 | |
| 4 | 2006 | 16 | |
| 5 | 1981 | 15 | |
| 6 | 2019 | 14 | |
| 7 | 2020 | 12 | |
| 8 | 2024 | 5 | |
| 9 | 2023 | 4 | |
| 10 | 2025 | 2 |
About M. S. Wang
M. S. Wang is a scholar working on Astronomy and Astrophysics, Artificial Intelligence, Biomedical Engineering, Condensed Matter Physics and Mechanical Engineering, having authored 10 papers that have together received 138 indexed citations. Recurring topics across this work include Cosmology and Gravitation Theories (6 papers), Galaxies: Formation, Evolution, Phenomena (4 papers), Advanced Materials Characterization Techniques (2 papers), Rare-earth and actinide compounds (2 papers), Intermetallics and Advanced Alloy Properties (2 papers), Advanced Chemical Sensor Technologies (1 paper), Computational Physics and Python Applications (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Instrumentation (15 citations), Astronomy and Astrophysics (57 citations), General Materials Science (8 citations), Condensed Matter Physics (11 citations) and Nuclear and High Energy Physics (11 citations). M. S. Wang has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include K. E. Spear, Florian Beutler, David Bacon, S. Àvila, Robert Crittenden, Alexandre Perera-Lluna, D. Bianchi, Ricardo Gutiérrez‐Osuna, Will J. Percival and Mi Chang. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, Calphad, Astronomy and Astrophysics, IEEE Transactions on Electron Devices and Journal of Cosmology and Astroparticle Physics.
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.