You‐Hua Chu

9.6k total citations
259 papers, 4.5k citations indexed

About

You‐Hua Chu is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Instrumentation. According to data from OpenAlex, You‐Hua Chu has authored 259 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 246 papers in Astronomy and Astrophysics, 56 papers in Nuclear and High Energy Physics and 52 papers in Instrumentation. Recurrent topics in You‐Hua Chu's work include Stellar, planetary, and galactic studies (173 papers), Astrophysics and Star Formation Studies (150 papers) and Astrophysical Phenomena and Observations (83 papers). You‐Hua Chu is often cited by papers focused on Stellar, planetary, and galactic studies (173 papers), Astrophysics and Star Formation Studies (150 papers) and Astrophysical Phenomena and Observations (83 papers). You‐Hua Chu collaborates with scholars based in United States, Chile and Germany. You‐Hua Chu's co-authors include R. A. Gruendl, M. A. Guerrero, Jr. Kennicutt Robert C., Mordecai‐Mark Mac Low, Sean Points, R. Williams, C.‐H. Rosie Chen, R. R. Treffers, George H. Jacoby and E. K. Grebel and has published in prestigious journals such as The Astrophysical Journal, Food Chemistry and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

You‐Hua Chu

237 papers receiving 4.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
You‐Hua Chu United States 35 4.4k 932 589 221 149 259 4.5k
Jon A. Morse United States 30 2.4k 0.5× 646 0.7× 353 0.6× 154 0.7× 75 0.5× 79 2.5k
Robert A. Benjamin United States 27 4.0k 0.9× 566 0.6× 619 1.1× 545 2.5× 70 0.5× 87 4.0k
Kazuyuki Omukai Japan 36 5.0k 1.1× 781 0.8× 686 1.2× 205 0.9× 32 0.2× 95 5.1k
Leisa K. Townsley United States 27 2.9k 0.7× 769 0.8× 333 0.6× 119 0.5× 88 0.6× 61 3.0k
T. R. Gull United States 34 3.2k 0.7× 584 0.6× 381 0.6× 136 0.6× 94 0.6× 166 3.4k
D. J. Axon United Kingdom 40 5.2k 1.2× 1.9k 2.1× 721 1.2× 108 0.5× 68 0.5× 194 5.4k
Steve Heathcote Chile 24 2.1k 0.5× 433 0.5× 290 0.5× 250 1.1× 111 0.7× 68 2.3k
M. R. Meade United States 30 4.9k 1.1× 447 0.5× 858 1.5× 700 3.2× 99 0.7× 89 5.0k
Rodger I. Thompson United States 29 3.2k 0.7× 690 0.7× 705 1.2× 259 1.2× 40 0.3× 112 3.3k
B. Babler United States 30 4.6k 1.0× 391 0.4× 812 1.4× 707 3.2× 93 0.6× 86 4.7k

Countries citing papers authored by You‐Hua Chu

Since Specialization
Citations

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

Fields of papers citing papers by You‐Hua Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by You‐Hua Chu. 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 You‐Hua Chu. The network helps show where You‐Hua Chu may publish in the future.

Co-authorship network of co-authors of You‐Hua Chu

This figure shows the co-authorship network connecting the top 25 collaborators of You‐Hua Chu. A scholar is included among the top collaborators of You‐Hua Chu 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 You‐Hua Chu. You‐Hua Chu 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.
Chu, You‐Hua & Daojun Zhang. (2025). How to measure the net effect of wetland park construction on habitat quality: A modeling approach based on spatiotemporal Difference-in-Differences. Ecological Indicators. 178. 114030–114030. 1 indexed citations
2.
Chu, You‐Hua, et al.. (2024). Stellar Population near NGC 2021: Procession of Star Formation in the South Rim of Supergiant Shell LMC 4. The Astronomical Journal. 168(1). 33–33. 1 indexed citations
3.
Guerrero, M. A., et al.. (2024). Accretion onto WD 2226-210, the central star of the Helix Nebula. Monthly Notices of the Royal Astronomical Society. 536(3). 2477–2484.
4.
Smith, L. J., M. S. Oey, Svea Hernández, et al.. (2023). HST FUV Spectroscopy of Super Star Cluster A in the Green Pea Analog Mrk 71: Revealing the Presence of Very Massive Stars. The Astrophysical Journal. 958(2). 194–194. 13 indexed citations
5.
Toalá, J. A., et al.. (2023). Synthetic X-ray emission from white dwarf accreting planetary material. Monthly Notices of the Royal Astronomical Society. 527(3). 6158–6172. 1 indexed citations
6.
Chen, Ke-Jung, et al.. (2023). Critical Metallicity of Cool Supergiant Formation. I. Effects on Stellar-mass Loss and Feedback. The Astrophysical Journal. 944(1). 34–34. 5 indexed citations
7.
Li, Chuan-Jui, et al.. (2023). New Insights on 30 Dor B Revealed by High-quality Multiwavelength Observations. The Astronomical Journal. 166(5). 204–204. 2 indexed citations
8.
Guerrero, M. A., J. A. Toalá, You‐Hua Chu, et al.. (2023). NGC 2022, a case study of a multiple-shell planetary nebula. Monthly Notices of the Royal Astronomical Society. 524(2). 1601–1614.
9.
Hainich, R., W.‐R. Hamann, L. M. Oskinova, et al.. (2022). Stellar wind properties of the nearly complete sample of O stars in the low metallicity young star cluster NGC 346 in the SMC galaxy. Astronomy and Astrophysics. 666. A189–A189. 23 indexed citations
10.
Toalá, J. A., L. Sabin, M. A. Guerrero, G. Ramos-Larios, & You‐Hua Chu. (2022). An XMM-Newton EPIC X-Ray View of the Symbiotic Star R Aquarii. The Astrophysical Journal Letters. 927(1). L20–L20. 11 indexed citations
11.
Li, Chuan-Jui, I. R. Seitenzahl, Ryoko Ishioka, et al.. (2021). Searching for Surviving Companion in the Young SMC Supernova Remnant 1E 0102.2–7219. The Astrophysical Journal. 915(1). 20–20. 2 indexed citations
12.
Li, Chuan-Jui, You‐Hua Chu, J. C. Raymond, et al.. (2021). Forbidden Line Emission from Type Ia Supernova Remnants Containing Balmer-dominated Shells. The Astrophysical Journal. 923(2). 141–141. 8 indexed citations
13.
Li, Chuan-Jui, et al.. (2021). The Shellless Supernova Remnant B0532–67.5 in the Large Magellanic Cloud. The Astronomical Journal. 163(1). 30–30. 2 indexed citations
14.
Chu, You‐Hua, et al.. (2021). A Multiwavelength Survey of Wolf–Rayet Nebulae in the Large Magellanic Cloud. The Astrophysical Journal Supplement Series. 252(2). 21–21. 8 indexed citations
15.
Ishioka, Ryoko, et al.. (2020). A Binary Star in the Superbubble N160 in the Large Magellanic Cloud. The Astrophysical Journal. 900(2). 195–195.
16.
Toalá, J. A., M. A. Guerrero, H. Todt, et al.. (2020). The Bubble Nebula NGC 7635 – testing the wind-blown bubble theory. Monthly Notices of the Royal Astronomical Society. 495(3). 3041–3051. 7 indexed citations
17.
Toalá, J. A., et al.. (2020). Chandra observations of the planetary nebula IC 4593. Monthly Notices of the Royal Astronomical Society. 494(3). 3784–3789. 5 indexed citations
18.
Yen, Hsi-Wei, Shigehisa Takakuwa, You‐Hua Chu, et al.. (2017). 1000 au exterior arcs connected to the protoplanetary disk around HL Tauri. Springer Link (Chiba Institute of Technology). 18 indexed citations
19.
Li, Chuan-Jui, You‐Hua Chu, R. A. Gruendl, et al.. (2017). Physical Structures of the Type Ia Supernova Remnant N103B. The Astrophysical Journal. 836(1). 85–85. 14 indexed citations
20.
Fang, Xuan, M. A. Guerrero, J. A. Toalá, You‐Hua Chu, & R. A. Gruendl. (2016). HST STIS OBSERVATIONS OF THE MIXING LAYER IN THE CAT’S EYE NEBULA*. The Astrophysical Journal Letters. 822(1). L19–L19. 6 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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