Chia-Hsun Chuang

25.8k total citations
66 papers, 2.4k citations indexed

About

Chia-Hsun Chuang is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, Chia-Hsun Chuang has authored 66 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Astronomy and Astrophysics, 27 papers in Instrumentation and 11 papers in Nuclear and High Energy Physics. Recurrent topics in Chia-Hsun Chuang's work include Galaxies: Formation, Evolution, Phenomena (57 papers), Cosmology and Gravitation Theories (41 papers) and Astronomy and Astrophysical Research (27 papers). Chia-Hsun Chuang is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (57 papers), Cosmology and Gravitation Theories (41 papers) and Astronomy and Astrophysical Research (27 papers). Chia-Hsun Chuang collaborates with scholars based in United States, Spain and Germany. Chia-Hsun Chuang's co-authors include Yun Wang, Francisco-Shu Kitaura, Cheng Zhao, Joel R. Brownstein, Sergio Rodríguez-Torres, Will J. Percival, Gustavo Yepes, Héctor Gil-Marín, Francisco Prada and Ashley J. Ross and has published in prestigious journals such as Physical Review Letters, Applied Physics Letters and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Chia-Hsun Chuang

65 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chia-Hsun Chuang United States	26	2.2k	784	683	173	109	66	2.4k
Shun Saito Japan	26	2.1k 1.0×	921 1.2×	553 0.8×	119 0.7×	55 0.5×	65	2.3k
Sergio Contreras Spain	26	1.7k 0.8×	335 0.4×	861 1.3×	134 0.8×	108 1.0×	67	1.8k
J. Colin Hill United States	27	2.1k 1.0×	1.1k 1.4×	232 0.3×	97 0.6×	20 0.2×	86	2.4k
L. Guzzo Italy	29	2.5k 1.1×	763 1.0×	1.0k 1.5×	176 1.0×	144 1.3×	79	2.6k
M. Kilbinger France	22	1.7k 0.8×	370 0.5×	684 1.0×	70 0.4×	101 0.9×	61	1.9k
Desika Narayanan United States	39	4.8k 2.2×	561 0.7×	1.8k 2.7×	112 0.6×	75 0.7×	116	5.0k
Hume A. Feldman United States	22	1.6k 0.7×	531 0.7×	335 0.5×	182 1.1×	40 0.4×	51	1.7k
Sangeeta Malhotra United States	39	4.8k 2.2×	735 0.9×	1.7k 2.5×	78 0.5×	35 0.3×	136	4.9k
M. I. Wilkinson United Kingdom	34	3.1k 1.4×	740 0.9×	1.3k 1.9×	134 0.8×	26 0.2×	74	3.3k
Nicholas Battaglia United States	22	1.5k 0.7×	570 0.7×	321 0.5×	67 0.4×	23 0.2×	48	1.6k

Countries citing papers authored by Chia-Hsun Chuang

Since Specialization

Citations

This map shows the geographic impact of Chia-Hsun Chuang'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 Chia-Hsun Chuang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia-Hsun Chuang more than expected).

Fields of papers citing papers by Chia-Hsun Chuang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia-Hsun Chuang. 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 Chia-Hsun Chuang. The network helps show where Chia-Hsun Chuang may publish in the future.

Co-authorship network of co-authors of Chia-Hsun Chuang

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

All Works

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20 of 20 papers shown

Variu, Andrei, Cheng Zhao, D. Forero-Sánchez, et al.. (2023). Cosmic void exclusion models and their impact on the distance scale measurements from large-scale structure. Monthly Notices of the Royal Astronomical Society. 521(3). 4731–4749. 3 indexed citations

Zhao, Cheng, D. Forero-Sánchez, Andrei Variu, et al.. (2023). Void BAO measurements on quasars from eBOSS. Monthly Notices of the Royal Astronomical Society. 526(2). 2889–2902. 2 indexed citations

Yu, Jiaxi, Cheng Zhao, Chia-Hsun Chuang, et al.. (2022). Model BOSS and eBOSS luminous red galaxies at 0.2 < z < 1.0 using SubHalo Abundance Matching with three parameters. Monthly Notices of the Royal Astronomical Society. 516(1). 57–74. 7 indexed citations

Ding, Z., et al.. (2022). The DESI N-body Simulation Project II: Suppressing Sample Variance with Fast Simulations. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

Forero-Sánchez, D., Chia-Hsun Chuang, Sergio Rodríguez-Torres, et al.. (2022). A machine learning approach to correct for mass resolution effects in simulated halo clustering statistics. Monthly Notices of the Royal Astronomical Society. 513(3). 4318–4331. 3 indexed citations

Chuang, Chia-Hsun, Risa H. Wechsler, Shadab Alam, et al.. (2022). Covariance matrices for variance-suppressed simulations. Monthly Notices of the Royal Astronomical Society. 518(3). 3737–3745. 2 indexed citations

Sánchez, Ariel G., A Pezzotta, Jiamin Hou, et al.. (2021). Cosmological implications of the full shape of anisotropic clustering measurements in BOSS and eBOSS. arXiv (Cornell University). 35 indexed citations

Àvila, S., Steven Cunnington, Adam R. H. Stevens, et al.. (2021). H i IM correlation function from UNIT simulations: BAO and observationally induced anisotropy. Monthly Notices of the Royal Astronomical Society. 510(1). 292–308. 7 indexed citations

Zhai, Zhongxu, Yun Wang, Andrew Benson, Chia-Hsun Chuang, & Gustavo Yepes. (2021). Linear bias and halo occupation distribution of emission-line galaxies from Nancy Grace Roman Space Telescope. Monthly Notices of the Royal Astronomical Society. 505(2). 2784–2800. 12 indexed citations

10.

Pellejero-Ibáñez, Marcos, A. Balaguera-Antolínez, Francisco-Shu Kitaura, et al.. (2020). The bias of dark matter tracers: assessing the accuracy of mapping techniques. Monthly Notices of the Royal Astronomical Society. 493(1). 586–593. 14 indexed citations

11.

Kong, Hui, Ashley J. Ross, John Moustakas, et al.. (2020). Removing imaging systematics from galaxy clustering measurements with Obiwan: application to the SDSS-IV extended Baryon Oscillation Spectroscopic Survey emission-line galaxy sample. Monthly Notices of the Royal Astronomical Society. 499(3). 3943–3960. 12 indexed citations

12.

Smith, A. G., Arnaud de Mattia, E. Burtin, Chia-Hsun Chuang, & Cheng Zhao. (2020). Reducing the variance of redshift space distortion measurements from mock galaxy catalogues with different lines of sight. Monthly Notices of the Royal Astronomical Society. 500(1). 259–271. 6 indexed citations

13.

Zhai, Zhongxu, Chia-Hsun Chuang, Yun Wang, Andrew Benson, & Gustavo Yepes. (2020). Clustering in the simulated H α galaxy redshift survey from Nancy Grace Roman Space Telescope. Monthly Notices of the Royal Astronomical Society. 501(3). 3490–3501. 6 indexed citations

14.

Zhao, Cheng, Chia-Hsun Chuang, Francisco-Shu Kitaura, et al.. (2019). Improving baryon acoustic oscillation measurement with the combination of cosmic voids and galaxies. Monthly Notices of the Royal Astronomical Society. 491(3). 4554–4572. 14 indexed citations

15.

Chuang, Chia-Hsun, Gustavo Yepes, Francisco-Shu Kitaura, et al.. (2019). UNIT project: Universe N-body simulations for the Investigation of Theoretical models from galaxy surveys. Monthly Notices of the Royal Astronomical Society. 487(1). 48–59. 56 indexed citations

16.

Zhao, Gong‐Bo, Jian Li, Yuting Wang, et al.. (2019). The clustering of galaxies in the completed SDSS-III Baryon Oscillation Spectroscopic Survey: a tomographic measurement of structure growth and expansion rate from anisotropic galaxy clustering in Fourier space. Monthly Notices of the Royal Astronomical Society. 484(1). 442–450. 5 indexed citations

17.

Zhai, Zhongxu, Andrew Benson, Yun Wang, Gustavo Yepes, & Chia-Hsun Chuang. (2019). Prediction of H α and [O iii] emission line galaxy number counts for future galaxy redshift surveys. Monthly Notices of the Royal Astronomical Society. 490(3). 3667–3678. 21 indexed citations

18.

Ruggeri, Rossana, Will J. Percival, Héctor Gil-Marín, et al.. (2018). The clustering of the SDSS-IV extended Baryon Oscillation Spectroscopic Survey DR14 quasar sample: measuring the evolution of the growth rate using redshift-space distortions between redshift 0.8 and 2.2. Monthly Notices of the Royal Astronomical Society. 483(3). 3878–3887. 14 indexed citations

19.

Comparat, Johan, Chia-Hsun Chuang, Sergio Rodríguez-Torres, et al.. (2016). The Low Redshift survey at Calar Alto (LoRCA). Monthly Notices of the Royal Astronomical Society. 458(3). 2940–2952. 2 indexed citations

20.

Guo, Hong, Zheng Zheng, Idit Zehavi, et al.. (2015). Redshift-space clustering of SDSS galaxies – luminosity dependence, halo occupation distribution, and velocity bias. Monthly Notices of the Royal Astronomical Society. 453(4). 4369–4384. 85 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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