Fa Peng Huang

66 total papers · 1.3k total citations
34 papers, 732 citations indexed

About

Fa Peng Huang is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Statistical and Nonlinear Physics. According to data from OpenAlex, Fa Peng Huang has authored 34 papers receiving a total of 732 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Astronomy and Astrophysics, 30 papers in Nuclear and High Energy Physics and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Fa Peng Huang's work include Cosmology and Gravitation Theories (30 papers), Particle physics theoretical and experimental studies (18 papers) and Dark Matter and Cosmic Phenomena (16 papers). Fa Peng Huang is often cited by papers focused on Cosmology and Gravitation Theories (30 papers), Particle physics theoretical and experimental studies (18 papers) and Dark Matter and Cosmic Phenomena (16 papers). Fa Peng Huang collaborates with scholars based in China, South Korea and United States. Fa Peng Huang's co-authors include Xinmin Zhang, Xiao Wang, Chong Sheng Li, Jiang-Hao Yu, Kenji Kadota, Hiroyuki Tashiro, Toyokazu Sekiguchi, Yi-Fu Cai, Z. Qian and Mengchao Zhang and has published in prestigious journals such as Physical Review Letters, Physics Letters B and Physical review. D.

In The Last Decade

Fa Peng Huang

34 papers receiving 711 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Fa Peng Huang 620 603 72 23 23 34 732
Djuna Croon 725 1.2× 617 1.0× 65 0.9× 33 1.4× 15 0.7× 34 831
Andreas Helset 488 0.8× 594 1.0× 50 0.7× 66 2.9× 9 0.4× 27 719
Oreste Pezzi 579 0.9× 205 0.3× 56 0.8× 21 0.9× 15 0.7× 39 656
Pijushpani Bhattacharjee 458 0.7× 702 1.2× 27 0.4× 29 1.3× 11 0.5× 46 790
Camilo García-Cely 435 0.7× 569 0.9× 65 0.9× 15 0.7× 14 0.6× 23 630
Sebastian A. R. Ellis 351 0.6× 611 1.0× 79 1.1× 26 1.1× 9 0.4× 32 706
Martin Wolfgang Winkler 518 0.8× 760 1.3× 80 1.1× 23 1.0× 9 0.4× 35 815
Denise Perrone 772 1.2× 176 0.3× 92 1.3× 18 0.8× 33 1.4× 44 854
Andrea Caputo 616 1.0× 675 1.1× 141 2.0× 24 1.0× 17 0.7× 35 840
J. Kaplan 546 0.9× 422 0.7× 89 1.2× 31 1.3× 12 0.5× 36 849

Countries citing papers authored by Fa Peng Huang

Since Specialization
Citations

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

Fields of papers citing papers by Fa Peng Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fa Peng Huang. 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 Fa Peng Huang. The network helps show where Fa Peng Huang may publish in the future.

Co-authorship network of co-authors of Fa Peng Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Fa Peng Huang. A scholar is included among the top collaborators of Fa Peng Huang 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 Fa Peng Huang. Fa Peng Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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