Yin Li

1.6k total citations
35 papers, 917 citations indexed

About

Yin Li is a scholar working on Astronomy and Astrophysics, Instrumentation and Artificial Intelligence. According to data from OpenAlex, Yin Li has authored 35 papers receiving a total of 917 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Astronomy and Astrophysics, 11 papers in Instrumentation and 5 papers in Artificial Intelligence. Recurrent topics in Yin Li's work include Galaxies: Formation, Evolution, Phenomena (32 papers), Cosmology and Gravitation Theories (16 papers) and Astronomy and Astrophysical Research (11 papers). Yin Li is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (32 papers), Cosmology and Gravitation Theories (16 papers) and Astronomy and Astrophysical Research (11 papers). Yin Li collaborates with scholars based in United States, China and Japan. Yin Li's co-authors include Wayne Hu, Masahiro Takada, Elise Jennings, Shirley Ho, Yu Feng, Siyu He, Kazuyuki Akitsu, Siamak Ravanbakhsh, Wei Chen and Barnabás Póczos and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Yin Li

32 papers receiving 873 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yin Li United States 16 808 247 221 83 69 35 917
Masato Shirasaki Japan 18 1.1k 1.3× 337 1.4× 381 1.7× 58 0.7× 70 1.0× 66 1.1k
Yan-Chuan Cai United Kingdom 22 1.2k 1.5× 325 1.3× 382 1.7× 43 0.5× 105 1.5× 49 1.3k
Jens Jasche France 23 1.3k 1.6× 246 1.0× 390 1.8× 184 2.2× 139 2.0× 55 1.4k
Marika Asgari United Kingdom 19 963 1.2× 295 1.2× 327 1.5× 35 0.4× 60 0.9× 43 1.0k
Issha Kayo Japan 20 1.2k 1.4× 429 1.7× 194 0.9× 46 0.6× 95 1.4× 36 1.2k
Manodeep Sinha United States 17 789 1.0× 330 1.3× 148 0.7× 51 0.6× 66 1.0× 37 850
Alice Pisani United States 17 851 1.1× 295 1.2× 267 1.2× 38 0.5× 90 1.3× 25 946
E. Krause United States 19 1.2k 1.5× 466 1.9× 278 1.3× 53 0.6× 68 1.0× 52 1.3k
Tilman Tröster United Kingdom 18 1.2k 1.5× 302 1.2× 515 2.3× 47 0.6× 80 1.2× 43 1.3k

Countries citing papers authored by Yin Li

Since Specialization
Citations

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

Fields of papers citing papers by Yin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yin Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yin Li. A scholar is included among the top collaborators of Yin Li 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 Yin Li. Yin Li 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.
Shan, Huanyuan, Y. Shu, Ji Yao, et al.. (2025). CURLING – II. Improvement on the H 0 inference from pixelized cluster strong lens modelling. Monthly Notices of the Royal Astronomical Society. 544(1). 708–716.
2.
Jamieson, Drew, Yin Li, Francisco Villaescusa-Navarro, Shirley Ho, & David N. Spergel. (2025). Field-level emulation of cosmic structure formation with cosmology and redshift dependence. Journal of Cosmology and Astroparticle Physics. 2025(3). 72–72. 1 indexed citations
3.
Pellejero-Ibáñez, Marcos, Raúl E. Angulo, Drew Jamieson, & Yin Li. (2024). Hybrid bias and displacement emulators for field-level modelling of galaxy clustering in real and redshift space. Monthly Notices of the Royal Astronomical Society. 529(1). 89–103. 9 indexed citations
4.
Wang, Yuting, Zhongxu Zhai, K. Koyama, et al.. (2024). Emulating Power Spectra for Prereconstructed and Postreconstructed Galaxy Samples. The Astrophysical Journal. 966(1). 35–35. 3 indexed citations
5.
Shan, Huanyuan, Ran Li, Eric Jullo, et al.. (2024). CURLING – I. The influence of point-like image approximation on the outcomes of cluster strong lens modelling. Monthly Notices of the Royal Astronomical Society. 531(1). 1179–1190. 3 indexed citations
6.
Li, Xiangchong, et al.. (2023). A differentiable perturbation-based weak lensing shear estimator. Monthly Notices of the Royal Astronomical Society. 527(4). 10388–10396. 5 indexed citations
7.
Akitsu, Kazuyuki, Yin Li, & Teppei Okumura. (2023). Gravitational wave fossils in nonlinear regime: Halo tidal bias and intrinsic alignments from gravitational wave separate universe simulations. Physical review. D. 107(6). 13 indexed citations
8.
Li, Yin, et al.. (2023). Particle Clustering in Turbulence: Prediction of Spatial and Statistical Properties with Deep Learning. The Astrophysical Journal. 960(1). 19–19. 3 indexed citations
9.
Yu, Byeonghee, Uroš Seljak, Yin Li, & Sukhdeep Singh. (2023). RSD measurements from BOSS galaxy power spectrum using the halo perturbation theory model. Journal of Cosmology and Astroparticle Physics. 2023(4). 57–57. 12 indexed citations
10.
Pullen, Anthony R., Rachel S. Somerville, Patrick C. Breysse, et al.. (2023). Characterizing the Conditional Galaxy Property Distribution Using Gaussian Mixture Models. The Astrophysical Journal. 950(2). 159–159. 8 indexed citations
11.
Villaescusa-Navarro, Francisco, Shy Genel, Stephanie Tonnesen, et al.. (2022). Cosmology with One Galaxy?. The Astrophysical Journal. 929(2). 132–132. 29 indexed citations
12.
Villaescusa-Navarro, Francisco, et al.. (2022). NECOLA: Toward a Universal Field-level Cosmological Emulator. The Astrophysical Journal. 930(2). 115–115. 19 indexed citations
13.
Li, Xiangchong, Yin Li, & R. Massey. (2021). Weak gravitational lensing shear measurement with FPFS: analytical mitigation of noise bias and selection bias. arXiv (Cornell University). 9 indexed citations
14.
Ni, Yueying, Yin Li, Rupert A. C. Croft, et al.. (2021). AI-assisted superresolution cosmological simulations – II. Halo substructures, velocities, and higher order statistics. Monthly Notices of the Royal Astronomical Society. 507(1). 1021–1033. 21 indexed citations
15.
Lin, Xiaojing, Zheng Cai, Yin Li, Alex Krolewski, & Simone Ferraro. (2020). Constraining the Halo Mass of Damped Lyα Absorption Systems (DLAs) at z = 2–3.5 Using the Quasar-CMB Lensing Cross-correlation. The Astrophysical Journal. 905(2). 176–176. 7 indexed citations
16.
He, Siyu, Yin Li, Yu Feng, et al.. (2019). Learning to predict the cosmological structure formation. Proceedings of the National Academy of Sciences. 116(28). 13825–13832. 125 indexed citations
17.
Han, Jiaxin, Yin Li, Yipeng Jing, et al.. (2018). The multidimensional dependence of halo bias in the eye of a machine: a tale of halo structure, assembly, and environment. Monthly Notices of the Royal Astronomical Society. 482(2). 1900–1919. 44 indexed citations
18.
Chiang, Chi-Ting, Yin Li, Wayne Hu, & Marilena Loverde. (2016). Quintessential scale dependence from separate universe simulations. Physical review. D. 94(12). 15 indexed citations
19.
Li, Yin, Wayne Hu, & Masahiro Takada. (2014). Super-sample signal. Physical review. D. Particles, fields, gravitation, and cosmology. 90(10). 58 indexed citations
20.
Jennings, Elise, Yin Li, & Wayne Hu. (2013). The abundance of voids and the excursion set formalism. Monthly Notices of the Royal Astronomical Society. 434(3). 2167–2181. 90 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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