Chao‐Wei Tsai

12.2k total citations
74 papers, 1.4k citations indexed

About

Chao‐Wei Tsai is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, Chao‐Wei Tsai has authored 74 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Astronomy and Astrophysics, 23 papers in Instrumentation and 14 papers in Nuclear and High Energy Physics. Recurrent topics in Chao‐Wei Tsai's work include Galaxies: Formation, Evolution, Phenomena (51 papers), Gamma-ray bursts and supernovae (25 papers) and Astronomy and Astrophysical Research (23 papers). Chao‐Wei Tsai is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (51 papers), Gamma-ray bursts and supernovae (25 papers) and Astronomy and Astrophysical Research (23 papers). Chao‐Wei Tsai collaborates with scholars based in China, United States and United Kingdom. Chao‐Wei Tsai's co-authors include Peter Eisenhardt, A. W. Blain, Roberto J. Assef, T. H. Jarrett, Daniel Stern, Jingwen Wu, E. Donoso, Carrie Bridge, S. A. Stanford and E. L. Wright and has published in prestigious journals such as Science, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Chao‐Wei Tsai

60 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chao‐Wei Tsai China 19 1.4k 499 284 45 35 74 1.4k
Andy D. Goulding United States 24 1.6k 1.2× 519 1.0× 317 1.1× 74 1.6× 59 1.7× 68 1.7k
I. Valtchanov Spain 22 1.1k 0.8× 380 0.8× 192 0.7× 37 0.8× 32 0.9× 68 1.1k
Alexander L. Muratov United States 9 1.6k 1.2× 683 1.4× 242 0.9× 36 0.8× 19 0.5× 13 1.7k
L. Felipe Barrientos Chile 18 975 0.7× 457 0.9× 197 0.7× 54 1.2× 26 0.7× 64 1.0k
David A. Thilker United States 25 1.9k 1.4× 696 1.4× 189 0.7× 52 1.2× 59 1.7× 69 2.0k
F. Marleau United States 21 1.4k 1.0× 652 1.3× 184 0.6× 47 1.0× 40 1.1× 51 1.4k
Roberto J. Assef United States 25 2.0k 1.5× 697 1.4× 393 1.4× 53 1.2× 36 1.0× 66 2.0k
Gergö Popping Germany 25 1.7k 1.3× 738 1.5× 221 0.8× 73 1.6× 33 0.9× 69 1.8k
Stuart McAlpine United Kingdom 20 1.6k 1.2× 851 1.7× 216 0.8× 43 1.0× 92 2.6× 25 1.7k
M. J. Michałowski United Kingdom 27 2.3k 1.7× 866 1.7× 393 1.4× 66 1.5× 31 0.9× 97 2.3k

Countries citing papers authored by Chao‐Wei Tsai

Since Specialization
Citations

This map shows the geographic impact of Chao‐Wei 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 Chao‐Wei Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao‐Wei Tsai more than expected).

Fields of papers citing papers by Chao‐Wei Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chao‐Wei 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 Chao‐Wei Tsai. The network helps show where Chao‐Wei Tsai may publish in the future.

Co-authorship network of co-authors of Chao‐Wei Tsai

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

All Works

20 of 20 papers shown
1.
Wu, Jingwen, Zhi-Yu Zhang, Neal J. Evans, et al.. (2025). Gravitationally bound gas determines star formation in the Galaxy. Astronomy and Astrophysics. 701. A152–A152.
2.
Tsai, Chao‐Wei, Di Li, Pei Wang, et al.. (2025). The Host Galaxy of the Hyperactive Repeating FRB 20240114A: Behind a Galaxy Cluster. The Astrophysical Journal Letters. 980(2). L24–L24. 5 indexed citations
3.
Li, Guodong, Jingwen Wu, Chao‐Wei Tsai, et al.. (2025). Searching for Low-redshift Hot Dust-obscured Galaxies. The Astrophysical Journal. 981(2). 104–104. 2 indexed citations
4.
Deng, Yuanyong, Lijie Liu, Zhiyuan Ren, et al.. (2025). The HASHTAG project II. Giant molecular cloud properties across the M31 disc. Monthly Notices of the Royal Astronomical Society. 538(4). 2445–2462. 1 indexed citations
5.
Zhang, Zhi-Yu, Junzhi Wang, Panagiotis Papadopoulos, et al.. (2025). Inadequate turbulent support in low-metallicity molecular clouds. Nature Astronomy. 9(3). 406–416.
6.
Zheng, Yun, Yongkun Zhang, Jing Wang, et al.. (2025). PANCAKE: A Python-based Numerical Color–Magnitude Diagram Analysis Package. The Astrophysical Journal Supplement Series. 279(1). 12–12. 1 indexed citations
7.
Yang, A. Y., Yi Feng, Chao‐Wei Tsai, et al.. (2024). The Variability of Persistent Radio Sources of Fast Radio Bursts. The Astrophysical Journal. 976(2). 165–165. 4 indexed citations
8.
Li, Di, P. F. Goldsmith, Jingwen Wu, et al.. (2024). Molecular Oxygen Abundance in Galactic Massive Star Formation Regions Based on SWAS Observations. Research in Astronomy and Astrophysics. 24(9). 95007–95007.
9.
Li, Guodong, Roberto J. Assef, Chao‐Wei Tsai, et al.. (2024). Black Hole Mass and Eddington Ratio Distribution of Hot Dust-obscured Galaxies. The Astrophysical Journal. 971(1). 40–40. 9 indexed citations
10.
Xu, Jiaying, Yi Feng, Di Li, et al.. (2023). Blinkverse: A Database of Fast Radio Bursts. Universe. 9(7). 330–330. 39 indexed citations
11.
Assef, Roberto J., Chiara Mazzucchelli, Manuel Aravena, et al.. (2023). An overdensity of Lyman break galaxies around the hot dust-obscured galaxy WISE J224607.56−052634.9. Astronomy and Astrophysics. 677. A54–A54. 9 indexed citations
12.
Lake, Sean E., et al.. (2023). Identifying Host Galaxies of Extragalactic Radio Emission Structures using Machine Learning. Research in Astronomy and Astrophysics. 23(7). 75012–75012. 1 indexed citations
13.
Li, Di, Chao‐Wei Tsai, Guodong Li, et al.. (2023). H i content of selected mid-infrared bright, starburst blue compact dwarf galaxies. Monthly Notices of the Royal Astronomical Society. 527(1). 603–619. 3 indexed citations
14.
Li, Guodong, Chao‐Wei Tsai, Daniel Stern, et al.. (2023). Discovery of a Low-redshift Hot Dust-obscured Galaxy. The Astrophysical Journal. 958(2). 162–162. 7 indexed citations
15.
Zhang, Xian, Wenfei Yu, Casey Law, et al.. (2023). Temporal and Spectral Properties of the Persistent Radio Source Associated with FRB 20190520B with the VLA. The Astrophysical Journal. 959(2). 89–89. 7 indexed citations
16.
Tang, Jing, Chao‐Wei Tsai, & Di Li. (2022). The Potential of Detecting Radio-flaring Ultracool Dwarfs at L band in the FAST Drift-scan Survey. Research in Astronomy and Astrophysics. 22(6). 65013–65013. 1 indexed citations
17.
Wu, Jingwen, et al.. (2022). Can Turbulent, High-density Gas Form Stars in Molecular Clouds: A Case Study in Ophiuchus. Research in Astronomy and Astrophysics. 22(7). 75016–75016. 2 indexed citations
18.
Ocker, Stella Koch, J. M. Cordes, Shami Chatterjee, et al.. (2022). The Large Dispersion and Scattering of FRB 20190520B Are Dominated by the Host Galaxy. The Astrophysical Journal. 931(2). 87–87. 36 indexed citations
19.
Lake, Sean E., E. L. Wright, Roberto J. Assef, et al.. (2019). The Contribution of Galaxies to the 3.4 μm Cosmic Infrared Background as Measured Using WISE. The Astrophysical Journal. 887(2). 207–207. 2 indexed citations
20.
Jarrett, T. H., M. E. Cluver, M. J. I. Brown, et al.. (2019). The WISE Extended Source Catalog (WXSC). I. The 100 Largest Galaxies. The Astrophysical Journal Supplement Series. 245(2). 25–25. 62 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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