Xingang Chen

5.9k total citations · 3 hit papers
67 papers, 3.2k citations indexed

About

Xingang Chen is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Electrical and Electronic Engineering. According to data from OpenAlex, Xingang Chen has authored 67 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Astronomy and Astrophysics, 32 papers in Nuclear and High Energy Physics and 14 papers in Electrical and Electronic Engineering. Recurrent topics in Xingang Chen's work include Cosmology and Gravitation Theories (41 papers), Galaxies: Formation, Evolution, Phenomena (24 papers) and Black Holes and Theoretical Physics (17 papers). Xingang Chen is often cited by papers focused on Cosmology and Gravitation Theories (41 papers), Galaxies: Formation, Evolution, Phenomena (24 papers) and Black Holes and Theoretical Physics (17 papers). Xingang Chen collaborates with scholars based in United States, China and Canada. Xingang Chen's co-authors include Yi Wang, Gary Shiu, Shamit Kachru, Mohammad Hossein Namjoo, Matteo Braglia, Hassan Firouzjahi, Misao Sasaki, Moritz Münchmeyer, P. Daniel Meerburg and Jiajun Xu and has published in prestigious journals such as Physical Review Letters, The Astrophysical Journal and Langmuir.

In The Last Decade

Xingang Chen

60 papers receiving 3.2k citations

Hit Papers

Observational signatures and non-Gaussianities of general... 2007 2026 2013 2019 2007 2010 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xingang Chen United States 27 3.0k 2.1k 328 186 136 67 3.2k
J. M. Kovac United States 12 941 0.3× 559 0.3× 45 0.1× 140 0.8× 4 0.0× 35 1.3k
J. A. Rueda Italy 24 1.4k 0.5× 539 0.3× 72 0.2× 100 0.5× 2 0.0× 138 1.6k
Adnan Malik Pakistan 35 2.6k 0.9× 1.8k 0.9× 810 2.5× 204 1.1× 131 2.8k
Yen‐Ting Lin Taiwan 23 1.8k 0.6× 342 0.2× 12 0.0× 82 0.4× 6 0.0× 65 1.9k
Kai Lin China 25 1.4k 0.5× 1.3k 0.6× 24 0.1× 492 2.6× 159 2.1k
Jinyi Yang United States 24 2.5k 0.8× 618 0.3× 27 0.1× 44 0.2× 98 2.8k
Pei Wang China 15 592 0.2× 165 0.1× 70 0.2× 17 0.1× 82 976
Yuta Michimura Japan 14 916 0.3× 418 0.2× 107 0.3× 52 0.3× 47 1.2k
J. C. Brown Canada 18 788 0.3× 343 0.2× 26 0.1× 39 0.2× 49 980
Zhi-Qiang Shen China 21 1.4k 0.5× 645 0.3× 33 0.1× 16 0.1× 177 1.6k

Countries citing papers authored by Xingang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xingang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingang Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Xingang Chen. A scholar is included among the top collaborators of Xingang Chen 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 Xingang Chen. Xingang Chen 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.
Li, Wenchao, et al.. (2025). The adsorption mechanism of (Ni and NiO) doped PtSe2 monolayer to polar gas molecules (CO,NH3 and SO2): A first–principle study. Materials Science in Semiconductor Processing. 192. 109448–109448. 2 indexed citations
2.
Braglia, Matteo, et al.. (2025). Investigating the origin of CMB large-scale features using LiteBIRD and CMB-S4. Journal of Cosmology and Astroparticle Physics. 2025(6). 35–35. 1 indexed citations
3.
Chen, Xingang & Abraham Loeb. (2025). Evolving dark energy or dark matter with an evolving equation-of-state?. Journal of Cosmology and Astroparticle Physics. 2025(7). 59–59. 12 indexed citations
4.
Gu, Liang, et al.. (2025). Energy harvesting from corona discharge on HVdc overhead transmission line. Electrical Engineering. 107(8). 10021–10030.
5.
Lin, Weikang, et al.. (2025). Cosmology of single species hidden dark matter. Journal of Cosmology and Astroparticle Physics. 2025(5). 77–77. 1 indexed citations
6.
Chen, Xingang, et al.. (2024). A digital twin model of the axial temperature field of a DC cable for millisecond calculations. Electric Power Systems Research. 233. 110460–110460. 3 indexed citations
7.
Quintin, Jerome, et al.. (2024). Fingerprints of a non-inflationary universe from massive fields. Journal of Cosmology and Astroparticle Physics. 2024(9). 26–26. 9 indexed citations
8.
Chen, Xingang, JiJi Fan, & Lingfeng Li. (2023). New inflationary probes of axion dark matter. Journal of High Energy Physics. 2023(12). 25 indexed citations
9.
Chen, Xingang, et al.. (2023). Feature Extraction of Oil–Paper Insulation Raman Spectroscopy Based on Manifold Dimension Transformation. Applied Sciences. 13(13). 7626–7626. 4 indexed citations
10.
Chen, Xingang, et al.. (2023). Impact of step voltage parameters on accuracy of evaluating XLPE insulation DC voltage endurance coefficient. IET Generation Transmission & Distribution. 17(19). 4293–4303. 1 indexed citations
11.
Gu, Liang, et al.. (2023). Relationship between Corona Discharge Thrust and Applied Voltage’s Polarity. Energies. 16(14). 5257–5257. 2 indexed citations
12.
Inomata, Keisuke, Matteo Braglia, & Xingang Chen. (2023). Questions on calculation of primordial power spectrum with large spikes: the resonance model case. Journal of Cosmology and Astroparticle Physics. 2023(4). 11–11. 68 indexed citations
13.
Braglia, Matteo, Xingang Chen, & Dhiraj Kumar Hazra. (2022). Uncovering the history of cosmic inflation from anomalies in cosmic microwave background spectra. The European Physical Journal C. 82(5). 24 indexed citations
14.
You, Xiaoman, Jinlong Hu, Ruonan Jing, et al.. (2019). FLOURY ENDOSPERM15 encodes a glyoxalase I involved in compound granule formation and starch synthesis in rice endosperm. Plant Cell Reports. 38(3). 345–359. 31 indexed citations
15.
Chen, Xingang, Abraham Loeb, & Zhong-Zhi Xianyu. (2019). Unique Fingerprints of Alternatives to Inflation in the Primordial Power Spectrum. Physical Review Letters. 122(12). 121301–121301. 35 indexed citations
16.
Chen, Xingang, et al.. (2017). Standard Model Background of the Cosmological Collider. Physical Review Letters. 118(26). 261302–261302. 80 indexed citations
17.
Chen, Xingang & Christophe Ringeval. (2016). Searching for Standard Clocks in the Primordial Universe. 20 indexed citations
18.
Chen, Xingang & Yi Wang. (2012). Quasi-single field inflation with large mass. Journal of Cosmology and Astroparticle Physics. 2012(9). 21–21. 115 indexed citations
19.
Chen, Xingang, et al.. (2010). Application of neural network and DS evidence fusion algorithm in power transformer fault diagnosis. 1–6. 1 indexed citations
20.
Chen, Yuguang, et al.. (2005). Auto-optimized fuzzy control of car engines based on GA. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6042. 60420G–60420G. 3 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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