Ying Zu

6.2k total citations
28 papers, 885 citations indexed

About

Ying Zu is a scholar working on Astronomy and Astrophysics, Instrumentation and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ying Zu has authored 28 papers receiving a total of 885 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Astronomy and Astrophysics, 14 papers in Instrumentation and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ying Zu's work include Galaxies: Formation, Evolution, Phenomena (25 papers), Astronomy and Astrophysical Research (14 papers) and Stellar, planetary, and galactic studies (9 papers). Ying Zu is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (25 papers), Astronomy and Astrophysical Research (14 papers) and Stellar, planetary, and galactic studies (9 papers). Ying Zu collaborates with scholars based in China, United States and United Kingdom. Ying Zu's co-authors include Rachel Mandelbaum, David H. Weinberg, Eduardo Rozo, Surhud More, Bruno Henriques, Wenting Wang, Simon D. M. White, E. S. Rykoff, Melanie Simet and C. S. Kochanek and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and The Astrophysical Journal Letters.

In The Last Decade

Ying Zu

25 papers receiving 839 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Zu China 17 865 467 125 109 68 28 885
Guangtun Zhu United States 21 1.4k 1.6× 681 1.5× 196 1.6× 88 0.8× 64 0.9× 32 1.4k
Laura C. Parker Canada 19 977 1.1× 576 1.2× 104 0.8× 71 0.7× 62 0.9× 37 1.0k
P. Hudelot France 17 904 1.0× 527 1.1× 110 0.9× 94 0.9× 35 0.5× 24 917
Aldo Rodríguez-Puebla Mexico 20 1.2k 1.4× 731 1.6× 161 1.3× 82 0.8× 74 1.1× 40 1.2k
Mehmet Alpaslan United States 19 1.3k 1.4× 728 1.6× 136 1.1× 124 1.1× 67 1.0× 31 1.3k
Marilena Spavone Italy 23 1.3k 1.5× 838 1.8× 67 0.5× 108 1.0× 67 1.0× 69 1.4k
Álvaro Orsi Spain 19 948 1.1× 495 1.1× 188 1.5× 69 0.6× 46 0.7× 35 1.0k
Jean Coupon Switzerland 17 789 0.9× 413 0.9× 101 0.8× 68 0.6× 32 0.5× 26 830
K. Małek Poland 17 917 1.1× 364 0.8× 213 1.7× 44 0.4× 46 0.7× 87 997
Michele Cantiello Italy 25 1.6k 1.8× 911 2.0× 100 0.8× 111 1.0× 94 1.4× 77 1.6k

Countries citing papers authored by Ying Zu

Since Specialization
Citations

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

Fields of papers citing papers by Ying Zu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Zu

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Zu. A scholar is included among the top collaborators of Ying Zu 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 Ying Zu. Ying Zu 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.
Zheng, Xianzhong, Xiaohu Yang, Xin Wang, et al.. (2024). CSST large-scale structure analysis pipeline: II. The CSST Emulator for Slitless Spectroscopy. Monthly Notices of the Royal Astronomical Society. 528(2). 2770–2783. 2 indexed citations
2.
Zu, Ying, et al.. (2024). Elucidating the impact of massive neutrinos on halo assembly bias. Monthly Notices of the Royal Astronomical Society. 530(3). 3422–3428.
3.
Zu, Ying, et al.. (2023). Dependence of galactic bars on the tidal density field in the SDSS. Monthly Notices of the Royal Astronomical Society. 525(1). 1520–1534. 3 indexed citations
4.
Zu, Ying, et al.. (2023). Satellite content and halo mass of galaxy clusters: comparison between red-sequence and halo-based optical cluster finders. Monthly Notices of the Royal Astronomical Society. 524(3). 4455–4471.
5.
Zu, Ying, et al.. (2023). Is the Large-scale Structure Traced by the BOSS LOWZ Galaxies Consistent with Planck?. The Astrophysical Journal Letters. 950(2). L15–L15. 2 indexed citations
6.
Zu, Ying, et al.. (2023). Constraints on galactic outflows from the metallicity–stellar mass–SFR relation of EAGLE simulation andSDSSgalaxies. Monthly Notices of the Royal Astronomical Society. 521(1). 411–432. 7 indexed citations
7.
8.
Zu, Ying, Huanyuan Shan, Jun Zhang, et al.. (2021). Does concentration drive the scatter in the stellar-to-halo mass relation of galaxy clusters?. Monthly Notices of the Royal Astronomical Society. 505(4). 5117–5128. 23 indexed citations
9.
10.
Wu, Hao‐Yi, et al.. (2019). Covariance matrices for galaxy cluster weak lensing: from virial regime to uncorrelated large-scale structure. Monthly Notices of the Royal Astronomical Society. 490(2). 2606–2626. 16 indexed citations
11.
Yu, Zhefu, C. S. Kochanek, B. M. Peterson, et al.. (2019). On reverberation mapping lag uncertainties. Monthly Notices of the Royal Astronomical Society. 491(4). 6045–6064. 17 indexed citations
12.
Zu, Ying & Rachel Mandelbaum. (2018). Mapping stellar content to dark matter haloes – III. Environmental dependence and conformity of galaxy colours. Monthly Notices of the Royal Astronomical Society. 476(2). 1637–1653. 30 indexed citations
13.
Zu, Ying, Rachel Mandelbaum, Melanie Simet, Eduardo Rozo, & E. S. Rykoff. (2017). On the level of cluster assembly bias in SDSS. Monthly Notices of the Royal Astronomical Society. 470(1). 551–560. 77 indexed citations
14.
Zu, Ying, C. S. Kochanek, S. Kozłowski, & B. M. Peterson. (2016). APPLICATION OF STOCHASTIC MODELING TO ANALYSIS OF PHOTOMETRIC REVERBERATION MAPPING DATA. The Astrophysical Journal. 819(2). 122–122. 46 indexed citations
15.
Zu, Ying & Rachel Mandelbaum. (2016). Mapping stellar content to dark matter haloes – II. Halo mass is the main driver of galaxy quenching. Monthly Notices of the Royal Astronomical Society. 457(4). 4360–4383. 93 indexed citations
16.
Mandelbaum, Rachel, Wenting Wang, Ying Zu, et al.. (2016). Strong bimodality in the host halo mass of central galaxies from galaxy–galaxy lensing. Monthly Notices of the Royal Astronomical Society. 457(3). 3200–3218. 117 indexed citations
17.
Zu, Ying, David H. Weinberg, Elise Jennings, Baojiu Li, & Mark Wyman. (2014). Galaxy infall kinematics as a test of modified gravity. Monthly Notices of the Royal Astronomical Society. 445(2). 1885–1897. 46 indexed citations
18.
Zu, Ying, et al.. (2014). Cosmological constraints from the large-scale weak lensing of SDSS MaxBCG clusters. Monthly Notices of the Royal Astronomical Society. 439(2). 1628–1647. 20 indexed citations
19.
Zu, Ying & David H. Weinberg. (2013). The redshift-space cluster–galaxy cross-correlation function – I. Modelling galaxy infall on to Millennium simulation clusters and SDSS groups. Monthly Notices of the Royal Astronomical Society. 431(4). 3319–3337. 50 indexed citations
20.
Zu, Ying & Jin Wei. (2013). Simulation and Optimization Design of Inversion Six-Bar Linkage on Loader. Applied Mechanics and Materials. 416-417. 1822–1825. 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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