Yu-Dai Tsai
- Nuclear and High Energy Physics top 2%
- Astronomy and Astrophysics top 2%
- Atomic and Molecular Physics, and Optics
- Statistical and Nonlinear Physics top 5%
- Radiation
- Co-authors
- Ryan PlestidGabriel MagillMaxim PospelovSunny VagnozziLuca VisinelliMaxim PerelsteinRahul KumarMohsen Khodadi
- Topics
- Particle physics theoretical and experimental studies (16 papers)Dark Matter and Cosmic Phenomena (15 papers)Cosmology and Gravitation Theories (12 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Yu-Dai Tsai
25 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 32
- Nuclear and High Energy Physics 1.1k
- Astronomy and Astrophysics 777
- Atomic and Molecular Physics, and Optics 147
- Statistical and Nonlinear Physics 114
- Radiation 13
Countries citing papers authored by Yu-Dai Tsai
This map shows the geographic impact of Yu-Dai Tsai'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 Yu-Dai Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu-Dai Tsai more than expected).
Fields of papers citing papers by Yu-Dai Tsai
This network shows the impact of papers produced by Yu-Dai Tsai. 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 Yu-Dai Tsai. The network helps show where Yu-Dai Tsai may publish in the future.
Co-authorship network of co-authors of Yu-Dai Tsai
This figure shows the co-authorship network connecting the top 25 collaborators of Yu-Dai Tsai. A scholar is included among the top collaborators of Yu-Dai Tsai 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 Yu-Dai Tsai. Yu-Dai Tsai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 10 | |
| 4 | Horizon-scale tests of gravity theories and fundamental physics from the Event Horizon Telescope image of Sagittarius A ∗breakdown → | 436 |
| 5 | 14 | |
| 6 | 5 | |
| 7 | 37 | |
| 8 | 38 | |
| 9 | 1 | |
| 10 | 64 | |
| 11 | 24 | |
| 12 | 47 | |
| 13 | 43 | |
| 14 | 70 | |
| 15 | 38 | |
| 16 | 105 | |
| 17 | 27 | |
| 18 | 107 | |
| 19 | 19 | |
| 20 | A glance at the imaginary world of ultracold atoms | 1 |
About Yu-Dai Tsai
Yu-Dai Tsai is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Instrumentation, having authored 26 papers that have together received 1.3k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (16 papers), Dark Matter and Cosmic Phenomena (15 papers) and Cosmology and Gravitation Theories (12 papers). The work is most often cited by research in Nuclear and High Energy Physics (1.1k citations), Astronomy and Astrophysics (777 citations) and Statistical and Nonlinear Physics (114 citations). Yu-Dai Tsai has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Ryan Plestid, Gabriel Magill, Maxim Pospelov, Sunny Vagnozzi, Luca Visinelli, Maxim Perelstein, Rahul Kumar, Mohsen Khodadi, Ali Övgün and Sushant G. Ghosh. Their work appears in journals such as Physical Review Letters, Physics Letters B and Journal of High Energy 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.