Yi Mao

2.2k total citations
45 papers, 1.4k citations indexed

About

Yi Mao is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Artificial Intelligence. According to data from OpenAlex, Yi Mao has authored 45 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Astronomy and Astrophysics, 17 papers in Nuclear and High Energy Physics and 5 papers in Artificial Intelligence. Recurrent topics in Yi Mao's work include Radio Astronomy Observations and Technology (26 papers), Galaxies: Formation, Evolution, Phenomena (21 papers) and Cosmology and Gravitation Theories (15 papers). Yi Mao is often cited by papers focused on Radio Astronomy Observations and Technology (26 papers), Galaxies: Formation, Evolution, Phenomena (21 papers) and Cosmology and Gravitation Theories (15 papers). Yi Mao collaborates with scholars based in China, United States and United Kingdom. Yi Mao's co-authors include Max Tegmark, Paul R. Shapiro, Ilian T. Iliev, Kyungjin Ahn, Garrelt Mellema, Thomas Faulkner, Emory F. Bunn, Jun Koda, Ue‐Li Pen and Matthew McQuinn and has published in prestigious journals such as Physical Review Letters, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Yi Mao

39 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yi Mao China 16 1.3k 832 199 108 71 45 1.4k
J. Richard Shaw Canada 11 1.0k 0.8× 587 0.7× 229 1.2× 69 0.6× 45 0.6× 17 1.1k
O. Zahn United States 19 1.8k 1.4× 1.0k 1.2× 153 0.8× 185 1.7× 41 0.6× 25 1.9k
M. A. Brentjens Netherlands 18 1.3k 1.0× 874 1.1× 373 1.9× 56 0.5× 23 0.3× 33 1.4k
G. Bernardi Italy 25 2.0k 1.6× 1.3k 1.6× 520 2.6× 102 0.9× 51 0.7× 83 2.1k
Philip Bull United Kingdom 20 1.0k 0.8× 454 0.5× 78 0.4× 123 1.1× 33 0.5× 64 1.1k
Saleem Zaroubi Netherlands 21 1.2k 0.9× 598 0.7× 299 1.5× 138 1.3× 16 0.2× 38 1.2k
Saleem Zaroubi Netherlands 25 1.7k 1.3× 923 1.1× 381 1.9× 197 1.8× 24 0.3× 67 1.8k
Raúl A. Monsalve United States 15 1.2k 1.0× 947 1.1× 341 1.7× 46 0.4× 31 0.4× 24 1.4k
A. R. Offringa Netherlands 20 1.3k 1.0× 937 1.1× 386 1.9× 78 0.7× 22 0.3× 44 1.4k
Vibor Jelić Netherlands 20 1.3k 1.0× 877 1.1× 454 2.3× 63 0.6× 22 0.3× 45 1.4k

Countries citing papers authored by Yi Mao

Since Specialization
Citations

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

Fields of papers citing papers by Yi Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Mao. A scholar is included among the top collaborators of Yi Mao 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 Yi Mao. Yi Mao 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.
Chen, Xuelei, et al.. (2024). Reionization Parameter Inference from 3D Minkowski Functionals of the 21 cm Signals. The Astrophysical Journal. 974(1). 141–141. 1 indexed citations
2.
Montero-Camacho, Paulo, et al.. (2024). Reionization relics in the cross-correlation between the Lyα forest and 21 cm intensity mapping in the post-reionization era. Monthly Notices of the Royal Astronomical Society. 536(2). 1645–1659.
3.
Zhou, Meng & Yi Mao. (2024). Reconstruction of Cosmological Initial Density Field with Observations from the Epoch of Reionization. The Astrophysical Journal. 965(1). 31–31.
4.
Li, Zhixing, et al.. (2024). Modelling the non-linear power spectrum in low-redshift H i intensity mapping. Monthly Notices of the Royal Astronomical Society. 534(3). 1801–1815. 1 indexed citations
5.
Montero-Camacho, Paulo, Yao Zhang, & Yi Mao. (2024). The long-lasting effect of X-ray pre-heating in the post-reionization intergalactic medium. Monthly Notices of the Royal Astronomical Society. 529(4). 3666–3683. 3 indexed citations
6.
7.
Chen, Xuelei, et al.. (2023). A Semiblind PCA-based Foreground Subtraction Method for 21 cm Intensity Mapping. The Astrophysical Journal. 945(1). 38–38. 7 indexed citations
8.
Montero-Camacho, Paulo, et al.. (2023). Separating the memory of reionisation from cosmology in the Lyα forest power spectrum at the post-reionisation era. Monthly Notices of the Royal Astronomical Society. 520(4). 4853–4866. 3 indexed citations
9.
Ting, Yuan-Sen, et al.. (2023). Can diffusion model conditionally generate astrophysical images?. Monthly Notices of the Royal Astronomical Society. 526(2). 1699–1712. 8 indexed citations
10.
Shimabukuro, Hayato, et al.. (2022). Estimation of H ii Bubble Size Distribution from 21 cm Power Spectrum with Artificial Neural Networks. Research in Astronomy and Astrophysics. 22(3). 35027–35027. 4 indexed citations
11.
Mao, Yi, et al.. (2022). Simulation-based Inference of Reionization Parameters from 3D Tomographic 21 cm Light-cone Images. The Astrophysical Journal. 926(2). 151–151. 44 indexed citations
12.
Iliev, Ilian T., Kyungjin Ahn, Sambit K. Giri, et al.. (2021). The impact of inhomogeneous subgrid clumping on cosmic reionization – II. Modelling stochasticity. Monthly Notices of the Royal Astronomical Society. 504(2). 2443–2460. 20 indexed citations
13.
Zhou, Meng, et al.. (2021). Antisymmetric Cross-correlation between H i and CO Line Intensity Maps as a New Probe of Cosmic Reionization. The Astrophysical Journal. 909(1). 51–51. 6 indexed citations
14.
Zhao, Rui, Songyang Wu, Yi Mao, & Xiao Wang. (2021). A Question Answering System Based on Multi-Granularity Semantic Interaction Neural Network. 944–949.
15.
Cai, Yi-Fu, et al.. (2019). Testing the scale-dependent hemispherical asymmetry with the 21-cm power spectrum from the epoch of reionization. Monthly Notices of the Royal Astronomical Society. 487(4). 5564–5571. 7 indexed citations
16.
Shapiro, Paul R., Yi Mao, Ilian T. Iliev, et al.. (2013). Will Nonlinear Peculiar Velocity and Inhomogeneous Reionization Spoil 21 cm Cosmology from the Epoch of Reionization?. Physical Review Letters. 110(15). 151301–151301. 22 indexed citations
17.
Iliev, Ilian T., Garrelt Mellema, Paul R. Shapiro, et al.. (2012). Can 21-cm observations discriminate between high-mass and low-mass galaxies as reionization sources?. Monthly Notices of the Royal Astronomical Society. 423(3). 2222–2253. 72 indexed citations
18.
Mao, Yi. (2008). Constraining Gravitational and Cosmological Parameters with Astrophysical Data. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations
19.
Mao, Yi, Max Tegmark, Matthew McQuinn, Matías Zaldarriaga, & O. Zahn. (2008). How accurately can 21 cm tomography constrain cosmology?. Physical review. D. Particles, fields, gravitation, and cosmology. 78(2). 172 indexed citations
20.
Mao, Yi, Max Tegmark, Alan H. Guth, & Serkan Cabi. (2007). Constraining torsion with Gravity Probe B. Physical review. D. Particles, fields, gravitation, and cosmology. 76(10). 65 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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