Chun Wang

3.3k total citations
78 papers, 1.4k citations indexed

About

Chun Wang is a scholar working on Astronomy and Astrophysics, Instrumentation and Electrical and Electronic Engineering. According to data from OpenAlex, Chun Wang has authored 78 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Astronomy and Astrophysics, 23 papers in Instrumentation and 21 papers in Electrical and Electronic Engineering. Recurrent topics in Chun Wang's work include Stellar, planetary, and galactic studies (31 papers), Astrophysics and Star Formation Studies (25 papers) and Astronomy and Astrophysical Research (22 papers). Chun Wang is often cited by papers focused on Stellar, planetary, and galactic studies (31 papers), Astrophysics and Star Formation Studies (25 papers) and Astronomy and Astrophysical Research (22 papers). Chun Wang collaborates with scholars based in China, United States and Germany. Chun Wang's co-authors include Yang Huang, Haibo Yuan, Huawei Zhang, Bingqiu Chen, Zhijia Tian, Maosheng Xiang, Haifeng Wang, Zheyu Fang, Juanjuan Ren and Xiaowei Liu and has published in prestigious journals such as Nature Communications, Applied Physics Letters and The Astrophysical Journal.

In The Last Decade

Chun Wang

73 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chun Wang China 26 766 406 162 148 95 78 1.4k
Yu Lu United States 23 1.3k 1.7× 754 1.9× 116 0.7× 79 0.5× 44 0.5× 42 1.6k
S. R. Golwala United States 19 1.2k 1.6× 143 0.4× 226 1.4× 181 1.2× 21 0.2× 85 1.4k
M. D. Reed United States 25 1.1k 1.5× 649 1.6× 177 1.1× 111 0.8× 115 1.2× 108 1.7k
Chul Chung South Korea 14 447 0.6× 213 0.5× 190 1.2× 78 0.5× 43 0.5× 67 908
I. Harrison United Kingdom 20 333 0.4× 111 0.3× 498 3.1× 467 3.2× 232 2.4× 127 1.4k
Makoto Watanabe Japan 19 680 0.9× 166 0.4× 222 1.4× 333 2.3× 74 0.8× 129 1.1k
J. Zhang United States 14 128 0.2× 141 0.3× 354 2.2× 397 2.7× 68 0.7× 20 810
Tomoki Saito Japan 17 1.2k 1.6× 496 1.2× 291 1.8× 105 0.7× 54 0.6× 61 1.5k
H. Dekker Germany 12 715 0.9× 285 0.7× 118 0.7× 286 1.9× 41 0.4× 55 1.0k
D. P. Woody United States 25 1.4k 1.9× 66 0.2× 395 2.4× 309 2.1× 23 0.2× 94 1.7k

Countries citing papers authored by Chun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Chun Wang. A scholar is included among the top collaborators of Chun 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 Chun Wang. Chun 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
1.
Yuan, Haibo, et al.. (2025). The Vertical Metallicity Gradient of the Galactic Disk for Mono-age Stellar Populations in LAMOST. The Astrophysical Journal. 983(1). 51–51. 1 indexed citations
2.
Zhang, Wei‐xian, Tianyu Zhao, Chun Wang, et al.. (2025). Assessing the global dengue burden: Incidence, mortality, and disability trends over three decades. PLoS neglected tropical diseases. 19(3). e0012932–e0012932. 9 indexed citations
3.
Ma, Xiaoran, Shengzhi Zhao, Yizhou Liu, et al.. (2024). Gain-switched 2 µm fiber laser pumped by a Q-switching and mode-locking self-pulsing Er-doped fiber laser. Optical Fiber Technology. 83. 103681–103681. 2 indexed citations
4.
Tan, Teng, Xinyue He, Chun Wang, et al.. (2024). Dispersive Fourier transform based dual-comb ranging. Nature Communications. 15(1). 4990–4990. 26 indexed citations
5.
Wang, Chun, et al.. (2023). Spatial metallicity variations of mono-temperature stellar populations revealed by early-type stars in LAMOST. Astronomy and Astrophysics. 674. A129–A129. 3 indexed citations
6.
Wang, Chun, et al.. (2023). Precise masses and ages of ~1 million RGB and RC stars observed by LAMOST. Astronomy and Astrophysics. 675. A26–A26. 9 indexed citations
7.
Wang, Yuxuan, et al.. (2023). Fabrication of novel Ag-doped ZnO/CdO heterostructure for high-sensitive detection of formaldehyde at low temperature. Materials Letters. 350. 134852–134852. 1 indexed citations
8.
Wang, Yuxuan, Chun Wang, Yanyan Xu, & Ya‐Qiu Sun. (2023). Novel ZnO/CdO heterostructure for high efficiency formaldehyde sensing with high response and low detection limit at low temperature. Materials Research Bulletin. 168. 112451–112451. 4 indexed citations
9.
Huang, Yang, Timothy C. Beers, Christian Wolf, et al.. (2022). Beyond Spectroscopy. I. Metallicities, Distances, and Age Estimates for Over 20 Million Stars from SMSS DR2 and Gaia EDR3. The Astrophysical Journal. 925(2). 164–164. 32 indexed citations
10.
Fu, Xiaoting, A. Bragaglia, Chao Liu, et al.. (2022). LAMOST meets Gaia: The Galactic open clusters. Astronomy and Astrophysics. 668. A4–A4. 23 indexed citations
11.
12.
Zhang, Meng, Maosheng Xiang, Huawei Zhang, et al.. (2021). Most “Young” α-rich Stars Have High Masses but are Actually Old. The Astrophysical Journal. 922(2). 145–145. 26 indexed citations
13.
Huang, Yang, Ralph Schönrich, Huawei Zhang, et al.. (2020). Mapping the Galactic Disk with the LAMOST and Gaia Red Clump Sample. I. Precise Distances, Masses, Ages, and 3D Velocities of ∼140,000 Red Clump Stars. UCL Discovery (University College London). 37 indexed citations
14.
Huang, Yang, Bingqiu Chen, Haibo Yuan, et al.. (2019). Milky Way Tomography with the SkyMapper Southern Survey. I. Atmospheric Parameters and Distances of One Million Red Giants. The Astrophysical Journal Supplement Series. 243(1). 7–7. 16 indexed citations
15.
Ren, Juanjuan, Xiaowei Liu, Bingqiu Chen, et al.. (2018). Mapping the emission line strengths and kinematics of supernova remnant S147 with extensive LAMOST spectroscopic observations. Research in Astronomy and Astrophysics. 18(9). 111–111. 11 indexed citations
16.
Huang, Yang, Xiaowei Liu, Huawei Zhang, et al.. (2015). On the metallicity gradients of the Galactic disk as revealed by LSS-GAC red clump stars. Research in Astronomy and Astrophysics. 15(8). 1240–1263. 31 indexed citations
17.
Wang, Chun, et al.. (2014). Menopause is associated with lumbar disc degeneration: a review of 4230 intervertebral discs. Climacteric. 17(6). 700–704. 32 indexed citations
18.
Zhong, Jie, Chun Wang, Jie Li, & Jun Liu. (2009). Penn State Worry Questionnaire: structure and psychometric properties of the Chinese version. Journal of Zhejiang University SCIENCE B. 10(3). 211–218. 52 indexed citations
19.
Shan, Bing, Shambhu Ghimire, Chun Wang, & Zenghu Chang. (2004). Generation of xuv supercontinuum and single attosecond pulses by half-cycle polarization gating. 916–917.
20.
Yang, Qin, et al.. (2003). Application of high-performance liquid chromatography–mass spectrometry to detection of diuretics in human urine. Journal of Chromatography B. 794(1). 193–203. 37 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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