Jian-Ping Hu

47 total papers · 794 total citations
27 papers, 559 citations indexed

About

Jian-Ping Hu is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Instrumentation. According to data from OpenAlex, Jian-Ping Hu has authored 27 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Astronomy and Astrophysics, 10 papers in Nuclear and High Energy Physics and 2 papers in Instrumentation. Recurrent topics in Jian-Ping Hu's work include Cosmology and Gravitation Theories (15 papers), Pulsars and Gravitational Waves Research (10 papers) and Gamma-ray bursts and supernovae (9 papers). Jian-Ping Hu is often cited by papers focused on Cosmology and Gravitation Theories (15 papers), Pulsars and Gravitational Waves Research (10 papers) and Gamma-ray bursts and supernovae (9 papers). Jian-Ping Hu collaborates with scholars based in China, Australia and United States. Jian-Ping Hu's co-authors include F. Y. Wang, Zi-Gao Dai, G. Q. Zhang, Shuang-Xi Yi, Jun Yang, Peng Lin, Jie Chen, Hilary I. Inyang, Yupeng Yang and Z. Zhou and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Astronomy and Astrophysics.

In The Last Decade

Jian-Ping Hu

24 papers receiving 473 citations

Hit Papers

Hubble Tension: The Evide... 2023 2026 2024 2023 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Jian-Ping Hu 485 197 78 37 25 27 559
Thomas Guillet 559 1.2× 144 0.7× 140 1.8× 32 0.9× 17 0.7× 22 669
Anthony R. Pullen 547 1.1× 278 1.4× 86 1.1× 32 0.9× 24 1.0× 34 619
Jorge Melnick 640 1.3× 142 0.7× 166 2.1× 29 0.8× 16 0.6× 40 676
Donald Q. Lamb 534 1.1× 221 1.1× 36 0.5× 10 0.3× 7 0.3× 27 687
Prakash Gaikwad 547 1.1× 239 1.2× 134 1.7× 53 1.4× 12 0.5× 27 619
C. B. Netterfield 638 1.3× 352 1.8× 36 0.5× 53 1.4× 32 1.3× 20 665
Andrej Dvornik 439 0.9× 92 0.5× 202 2.6× 33 0.9× 13 0.5× 26 501
Giada Bargiacchi 519 1.1× 190 1.0× 83 1.1× 20 0.5× 16 0.6× 19 545
Jean M. Quashnock 537 1.1× 305 1.5× 32 0.4× 27 0.7× 29 1.2× 27 586
J. Bel 483 1.0× 275 1.4× 109 1.4× 39 1.1× 11 0.4× 24 531

Countries citing papers authored by Jian-Ping Hu

Since Specialization
Citations

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

Fields of papers citing papers by Jian-Ping Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jian-Ping Hu. 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 Jian-Ping Hu. The network helps show where Jian-Ping Hu may publish in the future.

Co-authorship network of co-authors of Jian-Ping Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Jian-Ping Hu. A scholar is included among the top collaborators of Jian-Ping Hu 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 Jian-Ping Hu. Jian-Ping Hu 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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