Kwan Chuen Chan

4.1k total citations
32 papers, 854 citations indexed

About

Kwan Chuen Chan is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Instrumentation. According to data from OpenAlex, Kwan Chuen Chan has authored 32 papers receiving a total of 854 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Astronomy and Astrophysics, 11 papers in Nuclear and High Energy Physics and 8 papers in Instrumentation. Recurrent topics in Kwan Chuen Chan's work include Galaxies: Formation, Evolution, Phenomena (24 papers), Cosmology and Gravitation Theories (22 papers) and Astronomy and Astrophysical Research (8 papers). Kwan Chuen Chan is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (24 papers), Cosmology and Gravitation Theories (22 papers) and Astronomy and Astrophysical Research (8 papers). Kwan Chuen Chan collaborates with scholars based in China, United States and Spain. Kwan Chuen Chan's co-authors include Román Scoccimarro, Ravi K. Sheth, Vincent Desjacques, Lam Hui, Marc Manera, L Blot, Nico Hamaus, M. C. Chu, Baojiu Li and Matteo Biagetti and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Astronomy and Astrophysics.

In The Last Decade

Kwan Chuen Chan

31 papers receiving 835 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kwan Chuen Chan China 15 809 273 234 109 47 32 854
M. Vargas-Magaña United States 16 711 0.9× 216 0.8× 218 0.9× 71 0.7× 25 0.5× 26 781
Marcel Schmittfull United States 18 808 1.0× 248 0.9× 173 0.7× 81 0.7× 24 0.5× 25 858
S. Nadathur United Kingdom 22 904 1.1× 296 1.1× 235 1.0× 93 0.9× 30 0.6× 37 960
Graziano Rossi South Korea 15 653 0.8× 173 0.6× 212 0.9× 66 0.6× 23 0.5× 36 690
Yann Rasera France 17 924 1.1× 307 1.1× 286 1.2× 69 0.6× 29 0.6× 38 960
P. M. Sutter United States 19 957 1.2× 306 1.1× 315 1.3× 76 0.7× 36 0.8× 30 1.0k
Zvonimir Vlah United States 20 1.1k 1.4× 344 1.3× 349 1.5× 124 1.1× 48 1.0× 34 1.2k
Emanuele Castorina Italy 19 913 1.1× 508 1.9× 186 0.8× 71 0.7× 16 0.3× 39 1.0k
Pierre Zhang China 15 968 1.2× 446 1.6× 202 0.9× 69 0.6× 18 0.4× 18 1.1k
M. De Petris Italy 19 937 1.2× 256 0.9× 306 1.3× 69 0.6× 18 0.4× 97 1.0k

Countries citing papers authored by Kwan Chuen Chan

Since Specialization
Citations

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

Fields of papers citing papers by Kwan Chuen Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kwan Chuen Chan. 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 Kwan Chuen Chan. The network helps show where Kwan Chuen Chan may publish in the future.

Co-authorship network of co-authors of Kwan Chuen Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Kwan Chuen Chan. A scholar is included among the top collaborators of Kwan Chuen Chan 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 Kwan Chuen Chan. Kwan Chuen Chan 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.
Gong, Yan, et al.. (2025). 2D watershed void clustering for probing the cosmic large-scale structure. Monthly Notices of the Royal Astronomical Society. 538(1). 114–120. 1 indexed citations
2.
Gong, Yan, et al.. (2025). Cosmological constraints using the void size function data from BOSS DR16. Monthly Notices of the Royal Astronomical Society. 540(3). 2853–2862. 1 indexed citations
3.
Xiong, Qi, et al.. (2024). Void number counts as a cosmological probe for the large-scale structure. Monthly Notices of the Royal Astronomical Society. 534(1). 128–134. 2 indexed citations
4.
Chan, Kwan Chuen, et al.. (2024). Optimizing redshift distribution inference through joint self-calibration and clustering-redshift synergy. Astronomy and Astrophysics. 692. A186–A186. 1 indexed citations
5.
Chan, Kwan Chuen, et al.. (2024). Measurement of the photometric baryon acoustic oscillations with self-calibrated redshift distribution. Monthly Notices of the Royal Astronomical Society. 530(1). 881–893. 2 indexed citations
6.
Xiong, Qi, Y. Gong, Kwan Chuen Chan, et al.. (2024). Cosmological Prediction of the Void and Galaxy Clustering Measurements in the CSST Spectroscopic Survey. The Astrophysical Journal. 976(2). 244–244. 2 indexed citations
7.
Chan, Kwan Chuen, et al.. (2024). Reconstructing the baryonic acoustic oscillations in the presence of photo-z uncertainties. Monthly Notices of the Royal Astronomical Society. 529(2). 1667–1679. 3 indexed citations
8.
Xiong, Qi, Yan Gong, Kwan Chuen Chan, et al.. (2024). Cosmological forecast of the void size function measurement from the CSST spectroscopic survey. Monthly Notices of the Royal Astronomical Society. 532(1). 1049–1058. 4 indexed citations
9.
Gong, Yan, et al.. (2022). Forecast of neutrino cosmology from the CSST photometric galaxy clustering and cosmic shear surveys. Monthly Notices of the Royal Astronomical Society. 515(4). 5743–5757. 14 indexed citations
10.
Chan, Kwan Chuen, I. Ferrero, S. Àvila, et al.. (2022). Clustering with general photo-z uncertainties: application to Baryon Acoustic Oscillations. Monthly Notices of the Royal Astronomical Society. 511(3). 3965–3982. 8 indexed citations
11.
Chan, Kwan Chuen & Nico Hamaus. (2021). Volume statistics as a probe of large-scale structure. Physical review. D. 103(4). 8 indexed citations
12.
Chan, Kwan Chuen, Nico Hamaus, & Matteo Biagetti. (2019). Constraint of void bias on primordial non-Gaussianity. Physical review. D. 99(12). 21 indexed citations
13.
Chan, Kwan Chuen & L Blot. (2017). Assessment of the information content of the power spectrum and bispectrum. Physical review. D. 96(2). 59 indexed citations
14.
Chan, Kwan Chuen, Ravi K. Sheth, & Román Scoccimarro. (2017). Consistency relations for the Lagrangian halo bias and their implications. Monthly Notices of the Royal Astronomical Society. 468(2). 2232–2248. 6 indexed citations
15.
Chan, Kwan Chuen. (2015). Halo profile evolution and velocity bias. Physical review. D. Particles, fields, gravitation, and cosmology. 92(12). 4 indexed citations
16.
Sheth, Ravi K., Kwan Chuen Chan, & Román Scoccimarro. (2013). Nonlocal Lagrangian bias. Physical review. D. Particles, fields, gravitation, and cosmology. 87(8). 73 indexed citations
17.
Scoccimarro, Román, Lam Hui, Marc Manera, & Kwan Chuen Chan. (2012). Large-scale bias and efficient generation of initial conditions for nonlocal primordial non-Gaussianity. Physical review. D. Particles, fields, gravitation, and cosmology. 85(8). 122 indexed citations
18.
Chan, Kwan Chuen & M. C. Chu. (2008). Cosmological constraints on radion evolution in the universal extra dimension model. Physical review. D. Particles, fields, gravitation, and cosmology. 77(6). 2 indexed citations
19.
Chan, Kwan Chuen & M. C. Chu. (2007). CMB constraint on radion evolution in the brane world scenario. Physical review. D. Particles, fields, gravitation, and cosmology. 76(4). 1 indexed citations
20.
Chan, Kwan Chuen & M. C. Chu. (2007). Constraining the variation ofGby cosmic microwave background anisotropies. Physical review. D. Particles, fields, gravitation, and cosmology. 75(8). 15 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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