Zong‐Kuan Guo

5.3k total citations · 3 hit papers
92 papers, 3.6k citations indexed

About

Zong‐Kuan Guo is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Oceanography. According to data from OpenAlex, Zong‐Kuan Guo has authored 92 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Astronomy and Astrophysics, 59 papers in Nuclear and High Energy Physics and 10 papers in Oceanography. Recurrent topics in Zong‐Kuan Guo's work include Cosmology and Gravitation Theories (77 papers), Black Holes and Theoretical Physics (44 papers) and Galaxies: Formation, Evolution, Phenomena (37 papers). Zong‐Kuan Guo is often cited by papers focused on Cosmology and Gravitation Theories (77 papers), Black Holes and Theoretical Physics (44 papers) and Galaxies: Formation, Evolution, Phenomena (37 papers). Zong‐Kuan Guo collaborates with scholars based in China, South Korea and Germany. Zong‐Kuan Guo's co-authors include Yuan‐Zhong Zhang, Yun-Song Piao, Rong-Gen Cai, Rong-Gen Cai, Xinmin Zhang, Jing Liu, Dominik J. Schwarz, Shao-Jiang Wang, Tao Yang and Lang Liü and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and The Astrophysical Journal.

In The Last Decade

Zong‐Kuan Guo

91 papers receiving 3.5k citations

Hit Papers

Cosmological evolution of a quintom model of dark energy 2005 2026 2012 2019 2005 2019 2022 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
Zong‐Kuan Guo China 35 3.5k 2.3k 343 236 115 92 3.6k
Zong‐Hong Zhu China 37 3.9k 1.1× 1.8k 0.8× 233 0.7× 214 0.9× 163 1.4× 183 4.1k
Chiara Caprini Switzerland 31 3.8k 1.1× 2.2k 1.0× 493 1.4× 113 0.5× 233 2.0× 50 4.0k
Albert Stebbins United States 31 3.8k 1.1× 2.5k 1.1× 293 0.9× 232 1.0× 120 1.0× 65 4.0k
Joseph D. Romano United States 24 2.3k 0.7× 887 0.4× 467 1.4× 381 1.6× 235 2.0× 66 2.5k
Mariafelicia De Laurentis Italy 35 4.5k 1.3× 3.6k 1.5× 656 1.9× 423 1.8× 116 1.0× 99 4.6k
T. Joseph W. Lazio United States 32 3.2k 0.9× 1.6k 0.7× 188 0.5× 60 0.3× 117 1.0× 148 3.3k
Ely D. Kovetz United States 27 2.8k 0.8× 1.7k 0.7× 214 0.6× 68 0.3× 111 1.0× 75 3.0k
J. A. Zensus Germany 41 6.1k 1.8× 5.2k 2.3× 157 0.5× 59 0.3× 119 1.0× 273 6.4k
Niayesh Afshordi Canada 27 2.6k 0.8× 1.6k 0.7× 98 0.3× 279 1.2× 150 1.3× 98 2.8k
G. Mustafa China 40 4.7k 1.4× 3.6k 1.5× 865 2.5× 603 2.6× 233 2.0× 261 5.0k

Countries citing papers authored by Zong‐Kuan Guo

Since Specialization
Citations

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

Fields of papers citing papers by Zong‐Kuan Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zong‐Kuan Guo. 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 Zong‐Kuan Guo. The network helps show where Zong‐Kuan Guo may publish in the future.

Co-authorship network of co-authors of Zong‐Kuan Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Zong‐Kuan Guo. A scholar is included among the top collaborators of Zong‐Kuan Guo 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 Zong‐Kuan Guo. Zong‐Kuan Guo 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.
Wang, He, et al.. (2024). WaveFormer: transformer-based denoising method for gravitational-wave data. Machine Learning Science and Technology. 5(1). 15046–15046. 11 indexed citations
3.
Guo, Zong‐Kuan, et al.. (2024). The pseudospectrum and transient of Kaluza–Klein black holes in Einstein–Gauss–Bonnet gravity. Classical and Quantum Gravity. 41(23). 235015–235015. 14 indexed citations
4.
Liu, Jing, et al.. (2023). Enhanced curvature perturbations from spherical domain walls nucleated during inflation. Physical review. D. 108(6). 11 indexed citations
5.
Liu, Jing, Ligong Bian, Rong-Gen Cai, Zong‐Kuan Guo, & Shao-Jiang Wang. (2023). Constraining First-Order Phase Transitions with Curvature Perturbations. Physical Review Letters. 130(5). 51001–51001. 25 indexed citations
6.
Ruan, Wen-Hong, He Wang, Chang Liu, & Zong‐Kuan Guo. (2023). Parameter Inference for Coalescing Massive Black Hole Binaries Using Deep Learning. Universe. 9(9). 407–407. 3 indexed citations
7.
Ren, Zhixiang, Tianyu Zhao, Zhoujian Cao, et al.. (2023). Taiji data challenge for exploring gravitational wave universe. Frontiers of Physics. 18(6). 21 indexed citations
8.
Liü, Lang, et al.. (2023). Testing primordial black hole and measuring the Hubble constant with multiband gravitational-wave observations. Journal of Cosmology and Astroparticle Physics. 2023(1). 6–6. 28 indexed citations
9.
Cai, Rong-Gen, Zong‐Kuan Guo, Bin Hu, et al.. (2023). On networks of space-based gravitational-wave detectors. Fundamental Research. 4(5). 1072–1085. 10 indexed citations
10.
Cai, Rong-Gen, et al.. (2022). No-go guide for late-time solutions to the Hubble tension: Matter perturbations. Physical review. D. 106(6). 26 indexed citations
11.
Cai, Rong-Gen, et al.. (2022). No-go guide for the Hubble tension: Late-time solutions. Physical review. D. 105(2). 48 indexed citations
12.
Cai, Rong-Gen, et al.. (2021). Chameleon dark energy can resolve the Hubble tension. Physical review. D. 103(12). 69 indexed citations
13.
Ruan, Wen-Hong, Chang Liu, Zong‐Kuan Guo, Yue-Liang Wu, & Rong-Gen Cai. (2021). The LISA-Taiji Network: Precision Localization of Coalescing Massive Black Hole Binaries. Research. 2021. 6014164–6014164. 30 indexed citations
14.
Fu, Chengjie, et al.. (2021). Gravitational waves from resonant amplification of curvature perturbations during inflation. arXiv (Cornell University). 26 indexed citations
15.
Cai, Rong-Gen, Zong‐Kuan Guo, Qing-Guo Huang, & Tao Yang. (2018). Super-Eddington accreting massive black holes explore high-z cosmology: Monte-Carlo simulations. Physical review. D. 97(12). 1 indexed citations
16.
Cai, Rong-Gen, Zong‐Kuan Guo, & Shao-Jiang Wang. (2015). Reheating Phase Diagram for Higgs Inflation. arXiv (Cornell University). 1 indexed citations
17.
Guo, Zong‐Kuan & Yuan‐Zhong Zhang. (2012). Primordial power spectrum versus extension parameters beyond the standard model. Physical review. D. Particles, fields, gravitation, and cosmology. 85(10). 5 indexed citations
18.
Guo, Zong‐Kuan, Zong‐Hong Zhu, J. S. Alcaniz, & Yuan‐Zhong Zhang. (2006). Constraints on the Dvali‐Gabadadze‐Porrati Model from Recent Supernova Observations and Baryon Acoustic Oscillations. The Astrophysical Journal. 646(1). 1–7. 52 indexed citations
19.
Guo, Zong‐Kuan & Yuan‐Zhong Zhang. (2004). Cosmological Scaling Solutions of the Tachyon with Multiple Inverse Square Potentials. arXiv (Cornell University). 1 indexed citations
20.
Guo, Zong‐Kuan, Yun-Song Piao, Rong-Gen Cai, & Yuan‐Zhong Zhang. (2003). Cosmological scaling solutions and cross-coupling exponential potential. Physics Letters B. 576(1-2). 12–17. 35 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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