Beibei Hu

101 total papers · 1.5k total citations
66 papers, 1.1k citations indexed

About

Beibei Hu is a scholar working on Statistical and Nonlinear Physics, Plant Science and Molecular Biology. According to data from OpenAlex, Beibei Hu has authored 66 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistical and Nonlinear Physics, 16 papers in Plant Science and 13 papers in Molecular Biology. Recurrent topics in Beibei Hu's work include Nonlinear Waves and Solitons (17 papers), Nonlinear Photonic Systems (10 papers) and Polysaccharides and Plant Cell Walls (9 papers). Beibei Hu is often cited by papers focused on Nonlinear Waves and Solitons (17 papers), Nonlinear Photonic Systems (10 papers) and Polysaccharides and Plant Cell Walls (9 papers). Beibei Hu collaborates with scholars based in China, United States and Netherlands. Beibei Hu's co-authors include Ahmed Hamed Salem, Suresh Agarwal, Shekman Wong, David Chien, Tie-Cheng Xia, Kevin J. Freise, Ling Zhang, Rajeev Menon, Walid M. Awni and Thomas Podsadecki and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Beibei Hu

60 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Beibei Hu 269 207 186 181 165 66 1.1k
Long Gao 787 2.9× 25 0.1× 118 0.6× 42 0.2× 34 0.2× 65 1.5k
Shuping Li 281 1.0× 67 0.3× 23 0.1× 17 0.1× 87 0.5× 81 1.2k
Eric F. Lock 692 2.6× 20 0.1× 70 0.4× 113 0.6× 26 0.2× 67 1.4k
Yaping Tian 380 1.4× 17 0.1× 24 0.1× 26 0.1× 23 0.1× 88 1.1k
Shide Lin 240 0.9× 19 0.1× 27 0.1× 14 0.1× 18 0.1× 58 1.2k
J. Hardwicke 302 1.1× 10 0.0× 102 0.5× 72 0.4× 11 0.1× 48 1.2k
Belén Prieto García 375 1.4× 19 0.1× 53 0.3× 18 0.1× 10 0.1× 69 1.4k
Yamada 167 0.6× 4 0.0× 54 0.3× 224 1.2× 68 0.4× 85 1.1k
Rintaro Saito 781 2.9× 12 0.1× 22 0.1× 51 0.3× 49 0.3× 55 1.2k
Dan Zhang 341 1.3× 20 0.1× 17 0.1× 12 0.1× 16 0.1× 64 1.1k

Countries citing papers authored by Beibei Hu

Since Specialization
Citations

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

Fields of papers citing papers by Beibei Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beibei Hu

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