Yun Wang

16.9k total citations · 1 hit paper
209 papers, 5.2k citations indexed

About

Yun Wang is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Instrumentation. According to data from OpenAlex, Yun Wang has authored 209 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Astronomy and Astrophysics, 37 papers in Nuclear and High Energy Physics and 22 papers in Instrumentation. Recurrent topics in Yun Wang's work include Cosmology and Gravitation Theories (62 papers), Galaxies: Formation, Evolution, Phenomena (49 papers) and Gamma-ray bursts and supernovae (28 papers). Yun Wang is often cited by papers focused on Cosmology and Gravitation Theories (62 papers), Galaxies: Formation, Evolution, Phenomena (49 papers) and Gamma-ray bursts and supernovae (28 papers). Yun Wang collaborates with scholars based in United States, China and United Kingdom. Yun Wang's co-authors include Pia Mukherjee, Chia-Hsun Chuang, Max Tegmark, Alexei Lyapustin, Edwin L. Turner, Sergey Korkin, Edward W. Kolb, István László, Florian Metze and R. Holman and has published in prestigious journals such as Physical Review Letters, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Yun Wang

192 papers receiving 5.0k citations

Hit Papers

Multiangle implementation of atmospheric correction (MAIA... 2011 2026 2016 2021 2011 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yun Wang United States 37 3.0k 1.6k 733 721 425 209 5.2k
D. H. Staelin United States 33 969 0.3× 151 0.1× 1.7k 2.3× 2.6k 3.6× 26 0.1× 159 4.5k
Robert D. Richtmyer United States 13 707 0.2× 1.7k 1.1× 209 0.3× 472 0.7× 26 0.1× 28 7.8k
Philip L. Roe United States 39 1.7k 0.6× 433 0.3× 362 0.5× 1.3k 1.8× 6 0.0× 143 19.0k
Marie Farge France 27 496 0.2× 160 0.1× 683 0.9× 914 1.3× 12 0.0× 99 4.6k
V. Carbone Italy 40 4.8k 1.6× 675 0.4× 381 0.5× 327 0.5× 5 0.0× 291 6.7k
Jonathan Goodman United States 25 1.3k 0.4× 347 0.2× 58 0.1× 119 0.2× 7 0.0× 49 3.9k
Jay P. Boris United States 22 616 0.2× 726 0.4× 110 0.2× 349 0.5× 34 0.1× 70 3.8k
S. Aigrain United Kingdom 41 4.7k 1.5× 91 0.1× 85 0.1× 489 0.7× 7 0.0× 134 5.3k
Андрей Николаевич Колмогоров Russia 5 723 0.2× 133 0.1× 1.1k 1.5× 779 1.1× 8 0.0× 15 4.3k
Sanjiva K. Lele United States 61 407 0.1× 495 0.3× 501 0.7× 1.2k 1.7× 137 0.3× 347 18.1k

Countries citing papers authored by Yun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Wang. A scholar is included among the top collaborators of Yun Wang 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 Yun Wang. Yun Wang 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
2.
Zhai, Zhongxu, Andrew Benson, & Yun Wang. (2025). Clustering analysis of BOSS-CMASS galaxies with semi-analytical model for galaxy formation and halo occupation distribution. Monthly Notices of the Royal Astronomical Society. 544(1). 932–947.
3.
Wang, Yun, et al.. (2025). Optimized Design of a Disc-Type Weak Fiber Bragg Grating Array Accelerometer Based on Multiturn Fiber Coils. Journal of Lightwave Technology. 43(15). 7478–7488.
4.
Yang, Mengyuan, et al.. (2025). VectorSketcher: Learning to create a vector-based free-hand sketch. Engineering Applications of Artificial Intelligence. 156. 111005–111005. 1 indexed citations
5.
Yu, Junlin, et al.. (2024). Geometric deep learning-enabled metal-binding site identification and grafting. Fundamental Research. 2 indexed citations
6.
Dong, Min-Jie, Yun Wang, Lixin Tian, & Jingdong Wei. (2023). The peakon solutions of a new integrable Camassa–Holm equation. Applied Mathematics Letters. 141. 108603–108603.
7.
Zhai, Zhongxu, et al.. (2023). Phenomenological power spectrum models for H α emission line galaxies from the Nancy Grace Roman Space Telescope. Monthly Notices of the Royal Astronomical Society. 523(2). 2498–2512. 1 indexed citations
8.
Wang, Yun, et al.. (2023). Advanced techniques in quartz wafer precision processing: Stealth dicing based on filament-induced laser machining. Optics & Laser Technology. 171. 110474–110474. 6 indexed citations
9.
Wang, You, Yun Wang, Yutang Dai, & Farhan Mumtaz. (2022). Ultrasonic nitrogen jet-assisted femtosecond laser processing of quartz chips. Optical Materials Express. 13(2). 348–348. 3 indexed citations
10.
Xia, Yuanhua, Hao Li, Xiaofeng Cao, et al.. (2022). Upgrade of Xuanwu: A dual-mode neutron powder diffractometer at CMRR. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 1042. 167452–167452. 3 indexed citations
11.
Wang, Yun & Mingyang Yan. (2021). Past Experiences, Personality Traits, and Risk Aversion: Evidence from Individual Risk Attitudes during the COVID-19 Pandemic. Frontiers of Economics in China. 15(4). 575–625. 2 indexed citations
12.
Zhai, Zhongxu, Yun Wang, Andrew Benson, Chia-Hsun Chuang, & Gustavo Yepes. (2021). Linear bias and halo occupation distribution of emission-line galaxies from Nancy Grace Roman Space Telescope. Monthly Notices of the Royal Astronomical Society. 505(2). 2784–2800. 12 indexed citations
13.
Wang, Yun, Clarence Chuah, Youhong Tang, et al.. (2020). A two-in-one Janus NIR-II AIEgen with balanced absorption and emission for image-guided precision surgery. Materials Today Bio. 10. 100087–100087. 29 indexed citations
14.
Wang, Yun, Xu Chen, Li Y, et al.. (2020). An Advanced Data-Driven Hybrid Model of SARIMA-NNNAR for Tuberculosis Incidence Time Series Forecasting in Qinghai Province, China. SHILAP Revista de lepidopterología.
15.
Zhai, Zhongxu, Chia-Hsun Chuang, Yun Wang, Andrew Benson, & Gustavo Yepes. (2020). Clustering in the simulated H α galaxy redshift survey from Nancy Grace Roman Space Telescope. Monthly Notices of the Royal Astronomical Society. 501(3). 3490–3501. 6 indexed citations
16.
Zhai, Zhongxu, Andrew Benson, Yun Wang, Gustavo Yepes, & Chia-Hsun Chuang. (2019). Prediction of H α and [O iii] emission line galaxy number counts for future galaxy redshift surveys. Monthly Notices of the Royal Astronomical Society. 490(3). 3667–3678. 21 indexed citations
17.
Wang, Yun, et al.. (2015). Spectral Learning for Expressive Interactive Ensemble Music Performance.. International Symposium/Conference on Music Information Retrieval. 816–822. 5 indexed citations
18.
Lyapustin, Alexei, Yun Wang, Christina Hsu, et al.. (2011). ANALYSIS OF MAIAC DUST AEROSOL RETRIEVALS FROM MODIS OVER NORTH AFRICA. SHILAP Revista de lepidopterología. 89. 5 indexed citations
19.
Wang, Yun. (2004). Model-independent constraints on dark energy density from flux-averaging analysis of type IA supernovae data. Figshare. 101 indexed citations
20.
Wang, Yun. (2004). Evidence for weak lensing of supernovae. arXiv (Cornell University). 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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