Bi‐Hua Huang

45 total papers · 825 total citations
33 papers, 656 citations indexed

About

Bi‐Hua Huang is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Materials Chemistry. According to data from OpenAlex, Bi‐Hua Huang has authored 33 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Atomic and Molecular Physics, and Optics, 27 papers in Artificial Intelligence and 3 papers in Materials Chemistry. Recurrent topics in Bi‐Hua Huang's work include Quantum Information and Cryptography (27 papers), Quantum Computing Algorithms and Architecture (13 papers) and Quantum optics and atomic interactions (10 papers). Bi‐Hua Huang is often cited by papers focused on Quantum Information and Cryptography (27 papers), Quantum Computing Algorithms and Architecture (13 papers) and Quantum optics and atomic interactions (10 papers). Bi‐Hua Huang collaborates with scholars based in China and Japan. Bi‐Hua Huang's co-authors include Yan Xia, Jie Song, Ye‐Hong Chen, Yi‐Hao Kang, Qi‐Cheng Wu, Zhi‐Cheng Shi, Yufeng Yang, Pei-Min Lu, Chang‐Sheng Hu and Yi‐Ping Chen and has published in prestigious journals such as Scientific Reports, Annals of Physics and Journal of Solid State Chemistry.

In The Last Decade

Bi‐Hua Huang

32 papers receiving 600 citations

Author Peers

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

Author						Papers	Cites
Bi‐Hua Huang	593	582	46	40	18	33	656
Reinaldo O. Vianna	552 0.9×	472 0.8×	54 1.2×	22 0.6×	15 0.8×	35	605
Patrick Maurer	535 0.9×	321 0.6×	33 0.7×	88 2.2×	29 1.6×	26	658
G. Drobný	671 1.1×	455 0.8×	79 1.7×	23 0.6×	38 2.1×	37	714
Qi‐Cheng Wu	552 0.9×	485 0.8×	56 1.2×	59 1.5×	13 0.7×	46	589
Loïc Henriet	542 0.9×	359 0.6×	63 1.4×	44 1.1×	32 1.8×	27	665
Gerardo A. Paz-Silva	431 0.7×	479 0.8×	49 1.1×	46 1.1×	23 1.3×	24	558
Przemysław Bienias	586 1.0×	291 0.5×	73 1.6×	21 0.5×	16 0.9×	35	650
Michael Hush	530 0.9×	381 0.7×	85 1.8×	44 1.1×	31 1.7×	38	618
M. Johanning	668 1.1×	461 0.8×	25 0.5×	32 0.8×	39 2.2×	21	731
H. Rohde	557 0.9×	444 0.8×	12 0.3×	46 1.1×	17 0.9×	16	616

Countries citing papers authored by Bi‐Hua Huang

Since Specialization

Citations

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

Fields of papers citing papers by Bi‐Hua Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bi‐Hua 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 Bi‐Hua Huang. The network helps show where Bi‐Hua Huang may publish in the future.

Co-authorship network of co-authors of Bi‐Hua Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Bi‐Hua Huang. A scholar is included among the top collaborators of Bi‐Hua 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 Bi‐Hua Huang. Bi‐Hua 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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