Ji Yao

420 total citations
33 papers, 239 citations indexed

About

Ji Yao is a scholar working on Astronomy and Astrophysics, Instrumentation and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Ji Yao has authored 33 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Astronomy and Astrophysics, 11 papers in Instrumentation and 8 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Ji Yao's work include Galaxies: Formation, Evolution, Phenomena (19 papers), Astronomy and Astrophysical Research (11 papers) and Adaptive optics and wavefront sensing (7 papers). Ji Yao is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (19 papers), Astronomy and Astrophysical Research (11 papers) and Adaptive optics and wavefront sensing (7 papers). Ji Yao collaborates with scholars based in China, United States and Germany. Ji Yao's co-authors include Henry Lamm, Pengjie Zhang, Huanyuan Shan, Jean‐Paul Kneib, Eric Jullo, Xiaohu Yang, Mustapha Ishak, M. A. Troxel, Weiwei Xu and Jian Qin and has published in prestigious journals such as The Astrophysical Journal, IEEE Transactions on Information Theory and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Ji Yao

29 papers receiving 222 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ji Yao China 9 140 74 59 44 44 33 239
É. Aubourg France 11 355 2.5× 82 1.1× 25 0.4× 10 0.2× 92 2.1× 21 389
K. Paech Germany 11 198 1.4× 50 0.7× 16 0.3× 24 0.5× 247 5.6× 22 401
Sihao Cheng United States 8 297 2.1× 82 1.1× 16 0.3× 26 0.6× 47 1.1× 16 357
Xiangkun Liu China 10 281 2.0× 95 1.3× 32 0.5× 18 0.4× 99 2.3× 26 321
Austin Peel United States 12 276 2.0× 48 0.6× 28 0.5× 30 0.7× 98 2.2× 20 316
Alexander Gray 4 249 1.8× 88 1.2× 17 0.3× 34 0.8× 38 0.9× 8 326
R. Smareglia Italy 9 193 1.4× 129 1.7× 41 0.7× 17 0.4× 14 0.3× 59 309
José Manuel Zorrilla Matilla United States 9 318 2.3× 61 0.8× 23 0.4× 62 1.4× 116 2.6× 10 368
Janis Fluri Switzerland 9 288 2.1× 51 0.7× 22 0.4× 62 1.4× 89 2.0× 13 346
Jean-Baptiste Bayle Germany 11 285 2.0× 29 0.4× 117 2.0× 36 0.8× 43 1.0× 18 354

Countries citing papers authored by Ji Yao

Since Specialization
Citations

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

Fields of papers citing papers by Ji Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Ji Yao. A scholar is included among the top collaborators of Ji Yao 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 Ji Yao. Ji Yao 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.
Yu, Yu, et al.. (2025). Weak lensing reconstruction by counting galaxies: Improvement with DES Y3 galaxies. Physical review. D. 112(4). 1 indexed citations
3.
4.
Zhou, Shuren, et al.. (2025). AKRA 2.0: Accurate Kappa Reconstruction Algorithm for masked shear catalog. Journal of Cosmology and Astroparticle Physics. 2025(7). 38–38.
5.
Dvornik, Andrej, Nora Elisa Chisari, Marika Asgari, et al.. (2025). KiDS-1000: Weak lensing and intrinsic alignment around luminous red galaxies. Astronomy and Astrophysics. 694. A322–A322. 4 indexed citations
6.
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
7.
Xu, Weiwei, Huanyuan Shan, Ran Li, et al.. (2024). The Measurement of the Splash-back Radius of Dark Matter Halos. The Astrophysical Journal. 971(2). 157–157. 3 indexed citations
8.
Wang, Chunxiang, Ran Li, Huanyuan Shan, et al.. (2024). Assessing mass-loss and stellar-to-halo mass ratio of satellite galaxies: a galaxy–galaxy lensing approach utilizing DECaLS DR8 data. Monthly Notices of the Royal Astronomical Society. 528(2). 2728–2741. 5 indexed citations
9.
Zhang, Pengjie, et al.. (2023). An Unbiased Method of Measuring the Ratio of Two Data Sets. The Astrophysical Journal Supplement Series. 267(2). 21–21. 5 indexed citations
10.
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
11.
Yao, Ji, Huanyuan Shan, Pengjie Zhang, et al.. (2023). KiDS-1000: Cross-correlation with Planck cosmic microwave background lensing and intrinsic alignment removal with self-calibration. Astronomy and Astrophysics. 673. A111–A111. 6 indexed citations
12.
Zhang, Pengjie, et al.. (2023). Using angular two-point correlations to self-calibrate the photometric redshift distributions of DECaLS DR9. Monthly Notices of the Royal Astronomical Society. 520(1). 161–179. 12 indexed citations
13.
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
14.
Wang, Chunxiang, Ran Li, Kai Zhu, et al.. (2023). MaNGA DynPop – IV. Stacked total density profile of galaxy groups and clusters from combining dynamical models of integral-field stellar kinematics and galaxy–galaxy lensing. Monthly Notices of the Royal Astronomical Society. 527(1). 1580–1593. 8 indexed citations
15.
Yao, Ji, et al.. (2023). Comparison and Evaluation of Clustering Algorithms. 34. 213–219. 1 indexed citations
16.
Yao, Ji, et al.. (2023). Gluon digitization via character expansion for quantum computers. Physical review. D. 107(11). 11 indexed citations
17.
Yao, Ji, et al.. (2022). Cross-correlation of Planck cosmic microwave background lensing with DESI galaxy groups. Monthly Notices of the Royal Astronomical Society. 511(3). 3548–3560. 11 indexed citations
18.
Yao, Ji, Huanyuan Shan, Pengjie Zhang, Jean‐Paul Kneib, & Eric Jullo. (2020). Unveiling the Intrinsic Alignment of Galaxies with Self-calibration and DECaLS DR3 Data. The Astrophysical Journal. 904(2). 135–135. 30 indexed citations
19.
Yao, Ji, Mustapha Ishak, & M. A. Troxel. (2018). Self-calibration method for II and GI types of intrinsic alignments of galaxies. Monthly Notices of the Royal Astronomical Society. 483(1). 276–288. 9 indexed citations
20.
Yao, Ji. (2000). Correlativity of random variables and structural reliability. 4 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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