Mi Dai
Impact in
- Instrumentation top 10%
- Astronomy and Astrophysical Research
- Astronomy and Astrophysics top 10%
- Gamma-ray bursts and supernovae
- Cosmology and Gravitation Theories
- Galaxies: Formation, Evolution, Phenomena
- Stellar, planetary, and galactic studies
- Astrophysical Phenomena and Observations
Papers in
-
- Gamma-ray bursts and supernovae 11
- Stellar, planetary, and galactic studies 6
- Galaxies: Formation, Evolution, Phenomena 4
- Cosmology and Gravitation Theories 3
- Astrophysical Phenomena and Observations 2
-
- Astrophysics and Cosmic Phenomena 3
- Co-authors
- Yun Wang (3 shared papers)James M. Tepper (1 shared paper)D. Scolnic (5 shared papers)Dillon Brout (2 shared papers)Adam G. Riess (3 shared papers)M. Vincenzi (2 shared papers)G. Taylor (2 shared papers)Arianna Dwomoh (1 shared paper)
- Journals
- The Astrophysical Journal (4 papers)Monthly Notices of the Royal Astronomical Society (3 papers)Astronomy and Astrophysics (1 paper)The Astrophysical Journal Supplement Series (1 paper)Neuroscience (1 paper)
- Partner nations
- United StatesSwedenChina
In The Last Decade
Mi Dai
14 papers receiving 258 citations
Peers
Comparison fields: 5 of 45
- Instrumentation 49
- Astronomy and Astrophysics 222
- Nuclear and High Energy Physics 98
- Cellular and Molecular Neuroscience 30
- Oceanography 13
Countries citing papers authored by Mi Dai
This map shows the geographic impact of Mi Dai'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 Mi Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mi Dai more than expected).
Fields of papers citing papers by Mi Dai
This network shows the impact of papers produced by Mi Dai. 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 Mi Dai. The network helps show where Mi Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Mi Dai, 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 | 2022 | 96 | |
| 2 | 2021 | 60 | |
| 3 | 2016 | 37 | |
| 4 | 1998 | 32 | |
| 5 | 2021 | 10 | |
| 6 | 2018 | 10 | |
| 7 | 2023 | 9 | |
| 8 | 2022 | 6 | |
| 9 | 2023 | 5 | |
| 10 | 2020 | 5 | |
| 11 | 2016 | 2 | |
| 12 | 2023 | 1 | |
| 13 | 2010 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2024 | 0 |
About Mi Dai
Mi Dai is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics, Instrumentation, Artificial Intelligence and Computer Networks and Communications, having authored 15 papers that have together received 275 indexed citations. Recurring topics across this work include Gamma-ray bursts and supernovae (11 papers), Stellar, planetary, and galactic studies (6 papers), Galaxies: Formation, Evolution, Phenomena (4 papers), Cosmology and Gravitation Theories (3 papers), Astrophysics and Cosmic Phenomena (3 papers), Astronomy and Astrophysical Research (2 papers), Astrophysical Phenomena and Observations (2 papers) and Neurological disorders and treatments (1 paper). The work is most often cited by research in Instrumentation (49 citations), Astronomy and Astrophysics (222 citations), Nuclear and High Energy Physics (98 citations), Cellular and Molecular Neuroscience (30 citations) and Oceanography (13 citations). Mi Dai has collaborated with scholars based in United States, Sweden and China. Frequent co-authors include Yun Wang, James M. Tepper, D. Scolnic, Dillon Brout, Adam G. Riess, M. Vincenzi, G. Taylor, Arianna Dwomoh, Helen Qu and Benjamin Rose. Their work appears in journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society, Astronomy and Astrophysics, The Astrophysical Journal Supplement Series and Neuroscience.
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.