Zuhui Fan

1.7k total citations
67 papers, 1.1k citations indexed

About

Zuhui Fan is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Instrumentation. According to data from OpenAlex, Zuhui Fan has authored 67 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Astronomy and Astrophysics, 13 papers in Nuclear and High Energy Physics and 11 papers in Instrumentation. Recurrent topics in Zuhui Fan's work include Galaxies: Formation, Evolution, Phenomena (54 papers), Cosmology and Gravitation Theories (29 papers) and Stellar, planetary, and galactic studies (16 papers). Zuhui Fan is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (54 papers), Cosmology and Gravitation Theories (29 papers) and Stellar, planetary, and galactic studies (16 papers). Zuhui Fan collaborates with scholars based in China, United States and Italy. Zuhui Fan's co-authors include Yuqing Lou, Xiangkun Liu, Y.‐Q. Lou, Huanyuan Shan, Liping Fu, Jiayi Liu, Xiaohu Yang, H. J. Mo, Yougang Wang and Frank C. van den Bosch and has published in prestigious journals such as Nature, Physical Review Letters and The Astrophysical Journal.

In The Last Decade

Zuhui Fan

65 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zuhui Fan China 19 986 247 227 70 49 67 1.1k
Jeff Cooke United States 21 1.3k 1.3× 293 1.2× 295 1.3× 43 0.6× 38 0.8× 71 1.4k
F. Valdés United States 17 1.3k 1.3× 141 0.6× 564 2.5× 109 1.6× 65 1.3× 64 1.4k
M. Calkins United States 15 1.5k 1.5× 316 1.3× 448 2.0× 41 0.6× 18 0.4× 42 1.6k
Veronica Biffi Italy 22 1.2k 1.3× 270 1.1× 506 2.2× 25 0.4× 17 0.3× 49 1.3k
J. E. G. Peek United States 25 1.5k 1.5× 252 1.0× 241 1.1× 48 0.7× 23 0.5× 66 1.5k
G. Covone Italy 23 1.3k 1.3× 325 1.3× 535 2.4× 158 2.3× 73 1.5× 73 1.4k
Boris Leistedt United Kingdom 16 528 0.5× 126 0.5× 158 0.7× 20 0.3× 59 1.2× 38 656
Justin Harker United States 10 1.0k 1.0× 166 0.7× 442 1.9× 85 1.2× 31 0.6× 11 1.1k
M. De Petris Italy 19 937 1.0× 256 1.0× 306 1.3× 37 0.5× 8 0.2× 97 1.0k
Anna M. M. Scaife United Kingdom 19 998 1.0× 551 2.2× 88 0.4× 22 0.3× 47 1.0× 81 1.1k

Countries citing papers authored by Zuhui Fan

Since Specialization
Citations

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

Fields of papers citing papers by Zuhui Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zuhui Fan. 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 Zuhui Fan. The network helps show where Zuhui Fan may publish in the future.

Co-authorship network of co-authors of Zuhui Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Zuhui Fan. A scholar is included among the top collaborators of Zuhui Fan 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 Zuhui Fan. Zuhui Fan 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.
Xiong, Qi, Yan Gong, Xingchen Zhou, et al.. (2025). Exploring Cosmological Constraints of the Weak Gravitational Lensing and Galaxy Clustering Joint Analysis in the CSST Photometric Survey. The Astrophysical Journal. 985(1). 131–131.
2.
Chen, Zhu, Liping Fu, Shaohua Zhang, et al.. (2024). Photometric redshift estimation for CSST survey with LSTM neural networks. Monthly Notices of the Royal Astronomical Society. 535(2). 1844–1855. 1 indexed citations
3.
Chen, Zhu, Liping Fu, Wei Du, et al.. (2023). Estimating photometric redshift from mock flux for CSST survey by using weighted Random Forest. Monthly Notices of the Royal Astronomical Society. 527(4). 12140–12153. 4 indexed citations
4.
Du, Wei, et al.. (2023). Mass Reconstruction of Galaxy-scale Strong Gravitational Lenses Using a Broken Power-law Model. The Astrophysical Journal. 953(2). 189–189. 3 indexed citations
5.
Yao, Ji, Huanyuan Shan, Ran Li, et al.. (2023). CSST WL preparation I: forecast the impact from non-Gaussian covariances and requirements on systematics control. Monthly Notices of the Royal Astronomical Society. 527(3). 5206–5218. 9 indexed citations
6.
Liu, Xiangkun, et al.. (2023). Weak-lensing peak statistics – steepness versus height. Monthly Notices of the Royal Astronomical Society. 520(4). 6382–6400. 2 indexed citations
7.
Wang, Zhengyi, Ji Yao, Xiangkun Liu, et al.. (2023). Forecast of cross-correlation of Chinese Survey Space Telescope cosmic shear tomography with Ali CMB Polarization Telescope cosmic microwave background lensing. Monthly Notices of the Royal Astronomical Society. 523(2). 3001–3017. 4 indexed citations
8.
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
9.
Liao, Shihong, et al.. (2022). Dark matter haloes in interacting dark energy models: formation history, density profile, spin, and shape. Monthly Notices of the Royal Astronomical Society. 511(2). 3076–3088. 25 indexed citations
10.
Liu, Xiangkun, et al.. (2022). Effects of Galaxy Intrinsic Alignment on Weak Lensing Peak Statistics. The Astrophysical Journal. 940(2). 96–96. 9 indexed citations
11.
Fu, Liping, Wentao Luo, N. R. Napolitano, et al.. (2022). Galaxy–galaxy lensing in the VOICE deep survey. Astronomy and Astrophysics. 668. A12–A12. 4 indexed citations
12.
Tsupko, Oleg Yu., Zuhui Fan, & Г. С. Бисноватый-Коган. (2020). Black hole shadow as a standard ruler in cosmology. Classical and Quantum Gravity. 37(6). 65016–65016. 41 indexed citations
13.
Du, Wei, Gong‐Bo Zhao, Zuhui Fan, et al.. (2019). An accurate analytic model for the lensing mass of galaxies. arXiv (Cornell University). 2 indexed citations
14.
Yang, Jinyi, Xue-Bing Wu, Dezi Liu, et al.. (2018). Deep CFHT Y-band Imaging of VVDS-F22 Field. II. Quasar Selection and Quasar Luminosity Function. The Astronomical Journal. 155(3). 110–110. 3 indexed citations
15.
Fu, Liping, M. Radovich, Xiangkun Liu, et al.. (2018). Weak-lensing study in VOICE survey – I. Shear measurement. Monthly Notices of the Royal Astronomical Society. 479(3). 3858–3872. 7 indexed citations
16.
Liu, Xiangkun, Baojiu Li, Gong‐Bo Zhao, et al.. (2016). Constrainingf(R)Gravity Theory Using Weak Lensing Peak Statistics from the Canada-France-Hawii-Telescope Lensing Survey. Physical Review Letters. 117(5). 51101–51101. 58 indexed citations
17.
Komossa, S., Dawei Xu, L. Fuhrmann, et al.. (2015). What powers the radio-loud narrow-line Seyfert 1 galaxy RX J2314.9+2243?. Astronomy and Astrophysics. 574. A121–A121. 17 indexed citations
18.
Li, Hong, Meng Su, Zuhui Fan, Zi-Gao Dai, & Xinmin Zhang. (2006). Constraints on Dynamical Dark Energy Models Including Gamma Ray Bursts. arXiv (Cornell University). 2 indexed citations
19.
Lou, Yuqing & Zuhui Fan. (2002). Stationary models for fast and slow logarithmic spiral patterns in disc galaxies. Monthly Notices of the Royal Astronomical Society. 329(4). L62–L66. 10 indexed citations
20.
Fan, Zuhui. (1995). Large-Scale Structure in the Universe. PhDT. 1 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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