Mi Dai

1.8k total citations
15 papers, 263 citations indexed

About

Mi Dai is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Instrumentation. According to data from OpenAlex, Mi Dai has authored 15 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Astronomy and Astrophysics, 3 papers in Nuclear and High Energy Physics and 2 papers in Instrumentation. Recurrent topics in Mi Dai's work include Gamma-ray bursts and supernovae (11 papers), Stellar, planetary, and galactic studies (6 papers) and Galaxies: Formation, Evolution, Phenomena (4 papers). Mi Dai is often cited by papers focused on Gamma-ray bursts and supernovae (11 papers), Stellar, planetary, and galactic studies (6 papers) and Galaxies: Formation, Evolution, Phenomena (4 papers). Mi Dai collaborates with scholars based in United States, Sweden and China. Mi Dai's co-authors include Yun Wang, James M. Tepper, D. Scolnic, Adam G. Riess, Dillon Brout, M. Vincenzi, G. Taylor, Helen Qu, Charlotte M. Wood and Arianna Dwomoh and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Neuroscience.

In The Last Decade

Mi Dai

14 papers receiving 248 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mi Dai United States 7 214 96 49 31 14 15 263
Ting-Yi Lu Taiwan 13 343 1.6× 60 0.6× 85 1.7× 12 0.4× 21 1.5× 30 416
T. A. Perera United States 8 182 0.9× 51 0.5× 70 1.4× 8 0.3× 11 0.8× 16 236
M. S. Clemens Italy 15 559 2.6× 85 0.9× 213 4.3× 20 0.6× 12 0.9× 27 594
T. Constantino United Kingdom 16 487 2.3× 24 0.3× 196 4.0× 7 0.2× 15 1.1× 24 530
Matthias Herzog Germany 5 240 1.1× 107 1.1× 4 0.1× 18 0.6× 8 0.6× 7 283
Ross Dempsey United States 9 59 0.3× 106 1.1× 11 0.2× 17 0.5× 14 1.0× 15 221
Steve Bégin Canada 8 166 0.8× 33 0.3× 9 0.2× 10 0.3× 2 0.1× 10 383
Kuan-Chou Hou Taiwan 9 329 1.5× 33 0.3× 76 1.6× 8 0.3× 3 0.2× 21 374
B. Novosyadlyj Ukraine 9 234 1.1× 149 1.6× 15 0.3× 2 0.1× 3 0.2× 48 253
Farnik Nikakhtar United States 8 125 0.6× 36 0.4× 59 1.2× 10 0.7× 19 163

Countries citing papers authored by Mi Dai

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mi Dai

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

All Works

15 of 15 papers shown
1.
Malz, Alex I., Mi Dai, K. A. Ponder, et al.. (2024). Are light curve classification metrics good proxies for SN Ia cosmological constraining power?. Astronomy and Astrophysics. 694. A130–A130. 1 indexed citations
2.
3.
Taylor, G., D. O. Jones, B Popovic, et al.. (2023). SALT2 versus SALT3: updated model surfaces and their impacts on type Ia supernova cosmology. Monthly Notices of the Royal Astronomical Society. 520(4). 5209–5224. 9 indexed citations
4.
Dai, Mi, D. O. Jones, W. D. Kenworthy, et al.. (2023). Propagating Uncertainties in the SALT3 Model-training Process to Cosmological Constraints. The Astrophysical Journal Supplement Series. 267(1). 1–1. 1 indexed citations
5.
Jones, D. O., W. D. Kenworthy, Mi Dai, et al.. (2023). A Spectroscopic Model of the Type Ia Supernova–Host-galaxy Mass Correlation from SALT3. The Astrophysical Journal. 951(1). 22–22. 5 indexed citations
6.
Kwok, Lindsey A., Saurabh W. Jha, M. Modjaz, et al.. (2022). Ultraviolet Spectroscopy and TARDIS Models of the Broad-lined Type-Ic Supernova 2014ad. arXiv (Cornell University). 6 indexed citations
7.
Brout, Dillon, G. Taylor, D. Scolnic, et al.. (2022). The Pantheon+ Analysis: SuperCal-fragilistic Cross Calibration, Retrained SALT2 Light-curve Model, and Calibration Systematic Uncertainty. The Astrophysical Journal. 938(2). 111–111. 90 indexed citations
8.
Kenworthy, W. D., D. O. Jones, Mi Dai, et al.. (2021). SALT3: An Improved Type Ia Supernova Model for Measuring Cosmic Distances. The Astrophysical Journal. 923(2). 265–265. 56 indexed citations
9.
Dettman, K., Saurabh W. Jha, Mi Dai, et al.. (2021). The Foundation Supernova Survey: Photospheric Velocity Correlations in Type Ia Supernovae. The Astrophysical Journal. 923(2). 267–267. 10 indexed citations
10.
Ishida, Émille E. O., S. González–Gaitán, Rafael S. de Souza, et al.. (2020). Active learning with RESSPECT: Resource allocation for extragalactic astronomical transients. Institutional Repository of the University of Granada (University of Granada). 3115–3124. 4 indexed citations
11.
Dai, Mi, Steve Kuhlmann, Yun Wang, & E. Kovacs. (2018). Photometric classification and redshift estimation of LSST Supernovae. Monthly Notices of the Royal Astronomical Society. 477(3). 4142–4151. 10 indexed citations
12.
Dai, Mi & Yun Wang. (2016). Sampling the probability distribution of Type Ia Supernova lightcurve parameters in cosmological analysis. Monthly Notices of the Royal Astronomical Society. 459(2). 1819–1826. 2 indexed citations
13.
Wang, Yun & Mi Dai. (2016). Exploring uncertainties in dark energy constraints using current observational data with Planck 2015 distance priors. Physical review. D. 94(8). 36 indexed citations
14.
Dai, Mi, et al.. (2010). Research and Implementation of Fast Image Fractal Coding Algorithm. Applied Mechanics and Materials. 34-35. 1360–1364. 1 indexed citations
15.
Dai, Mi & James M. Tepper. (1998). Do silent dopaminergic neurons exist in rat substantia nigra in vivo?. Neuroscience. 85(4). 1089–1099. 32 indexed citations

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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