Adrian Liu

4.9k total citations
49 papers, 1.9k citations indexed

About

Adrian Liu is a scholar working on Astronomy and Astrophysics, Aerospace Engineering and Nuclear and High Energy Physics. According to data from OpenAlex, Adrian Liu has authored 49 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Astronomy and Astrophysics, 22 papers in Aerospace Engineering and 21 papers in Nuclear and High Energy Physics. Recurrent topics in Adrian Liu's work include Radio Astronomy Observations and Technology (40 papers), Astrophysics and Cosmic Phenomena (20 papers) and Antenna Design and Optimization (14 papers). Adrian Liu is often cited by papers focused on Radio Astronomy Observations and Technology (40 papers), Astrophysics and Cosmic Phenomena (20 papers) and Antenna Design and Optimization (14 papers). Adrian Liu collaborates with scholars based in United States, Canada and United Kingdom. Adrian Liu's co-authors include Aaron R. Parsons, Max Tegmark, Cathryn M. Trott, Joshua S. Dillon, J. Richard Shaw, Jacqueline N. Hewitt, Matías Zaldarriaga, Aaron Ewall‐Wice, Jonathan R. Pritchard and M. F. Morales 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

Adrian Liu

49 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adrian Liu United States 24 1.8k 1.1k 715 247 107 49 1.9k
Aaron R. Parsons United States 21 1.8k 1.0× 1.1k 1.0× 771 1.1× 280 1.1× 94 0.9× 52 1.9k
Judd D. Bowman United States 21 2.3k 1.3× 1.6k 1.5× 840 1.2× 233 0.9× 118 1.1× 82 2.5k
Somnath Bharadwaj India 28 2.2k 1.2× 1.3k 1.2× 606 0.8× 193 0.8× 148 1.4× 114 2.3k
Vibor Jelić Netherlands 20 1.3k 0.7× 877 0.8× 454 0.6× 131 0.5× 94 0.9× 45 1.4k
G. Bernardi Italy 25 2.0k 1.1× 1.3k 1.2× 520 0.7× 158 0.6× 90 0.8× 83 2.1k
A. R. Offringa Netherlands 20 1.3k 0.8× 937 0.8× 386 0.5× 121 0.5× 60 0.6× 44 1.4k
M. A. Brentjens Netherlands 18 1.3k 0.7× 874 0.8× 373 0.5× 124 0.5× 75 0.7× 33 1.4k
Saleem Zaroubi Netherlands 25 1.7k 0.9× 923 0.8× 381 0.5× 141 0.6× 77 0.7× 67 1.8k
M. F. Morales United States 17 1.4k 0.8× 926 0.8× 606 0.8× 184 0.7× 86 0.8× 40 1.5k
S. Yatawatta Netherlands 17 939 0.5× 574 0.5× 447 0.6× 218 0.9× 96 0.9× 55 1.1k

Countries citing papers authored by Adrian Liu

Since Specialization
Citations

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

Fields of papers citing papers by Adrian Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adrian Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Adrian Liu. A scholar is included among the top collaborators of Adrian Liu 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 Adrian Liu. Adrian Liu 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.
Pascua, Robert, Zachary E. Martinot, Adrian Liu, et al.. (2025). A Generalized Method for Characterizing 21 cm Power Spectrum Signal Loss from Temporal Filtering of Drift-scanning Visibilities. The Astrophysical Journal. 985(1). 127–127. 1 indexed citations
2.
Liu, Adrian, et al.. (2024). A statistical framework for recovering intensity mapping autocorrelations from cross-correlations. Monthly Notices of the Royal Astronomical Society. 533(1). 658–675. 3 indexed citations
3.
Cui, Yue, et al.. (2024). Correction to: Recovering the wedge modes lost to 21-cm foregrounds. Monthly Notices of the Royal Astronomical Society. 529(3). 2539–2542. 1 indexed citations
4.
Kennedy, Jacob J., et al.. (2024). Machine-learning recovery of foreground wedge-removed 21-cm light cones for high-z galaxy mapping. Monthly Notices of the Royal Astronomical Society. 529(4). 3684–3698. 9 indexed citations
5.
Sims, Peter, et al.. (2023). A general Bayesian framework to account for foreground map errors in global 21-cm experiments. Monthly Notices of the Royal Astronomical Society. 527(3). 5649–5667. 11 indexed citations
6.
7.
Mirocha, Jordan, Julián B. Muñoz, Steven R. Furlanetto, Adrian Liu, & Andrei Mesinger. (2022). A galaxy-free phenomenological model for the 21-cm power spectrum during reionization. Monthly Notices of the Royal Astronomical Society. 514(2). 2010–2030. 8 indexed citations
8.
Mirocha, Jordan, et al.. (2021). Systematic uncertainties in models of the cosmic dawn. Monthly Notices of the Royal Astronomical Society. 504(2). 1555–1564. 15 indexed citations
9.
Liu, Adrian, et al.. (2020). Probing relationships between reinforcement learning and simple behavioral strategies to understand probabilistic reward learning. Journal of Neuroscience Methods. 341. 108777–108777. 4 indexed citations
10.
Ewall‐Wice, Aaron, Nicholas S. Kern, Joshua S. Dillon, et al.. (2020). DAYENU: a simple filter of smooth foregrounds for intensity mapping power spectra. Monthly Notices of the Royal Astronomical Society. 500(4). 5195–5213. 27 indexed citations
11.
Kern, Nicholas S. & Adrian Liu. (2020). Gaussian process foreground subtraction and power spectrum estimation for 21 cm cosmology. Monthly Notices of the Royal Astronomical Society. 501(1). 1463–1480. 32 indexed citations
12.
Gillet, Nicolas, et al.. (2019). Deep learning from 21-cm tomography of the Cosmic Dawn and Reionization. Monthly Notices of the Royal Astronomical Society. 78 indexed citations
13.
Dillon, Joshua S., Saul A. Kohn, Aaron R. Parsons, et al.. (2018). Polarized Redundant-Baseline Calibration for 21 cm Cosmology Without Adding Spectral Structure. Monthly Notices of the Royal Astronomical Society. 20 indexed citations
14.
Moore, David F., James Aguirre, Saul A. Kohn, et al.. (2017). Limits on Polarized Leakage for the PAPER Epoch of Reionization Measurements at 126 and 164 MHz. The Astrophysical Journal. 836(2). 154–154. 10 indexed citations
15.
Liu, Adrian & Aaron R. Parsons. (2016). Constraining cosmology and ionization history with combined 21 cm power spectrum and global signal measurements. Monthly Notices of the Royal Astronomical Society. 457(2). 1864–1877. 38 indexed citations
16.
Ewall‐Wice, Aaron, Jacqueline N. Hewitt, Andrei Mesinger, et al.. (2016). Constraining high-redshift X-ray sources with next generation 21-cm power spectrum measurements. Monthly Notices of the Royal Astronomical Society. 458(3). 2710–2724. 35 indexed citations
17.
Zheng, Haoxuan, Max Tegmark, Joshua S. Dillon, et al.. (2016). An improved model of diffuse galactic radio emission from 10 MHz to 5 THz. Monthly Notices of the Royal Astronomical Society. 464(3). 3486–3497. 125 indexed citations
18.
Liu, Adrian. (2015). Predicting the sky from 30 MHz to 800 GHz: the extended Global Sky Model. 2 indexed citations
19.
DeBoer, David R., James Aguirre, Judd D. Bowman, et al.. (2015). The Hydrogen Epoch of Reionization Array (HERA). 360–360. 4 indexed citations
20.
Liu, Adrian, Max Tegmark, & Matías Zaldarriaga. (2009). Will point sources spoil 21-cm tomography?. Monthly Notices of the Royal Astronomical Society. 394(3). 1575–1587. 60 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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