Da Huang

59 total papers · 527 total citations
40 papers, 348 citations indexed

About

Da Huang is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Statistical and Nonlinear Physics. According to data from OpenAlex, Da Huang has authored 40 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Nuclear and High Energy Physics, 19 papers in Astronomy and Astrophysics and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Da Huang's work include Particle physics theoretical and experimental studies (31 papers), Dark Matter and Cosmic Phenomena (21 papers) and Cosmology and Gravitation Theories (19 papers). Da Huang is often cited by papers focused on Particle physics theoretical and experimental studies (31 papers), Dark Matter and Cosmic Phenomena (21 papers) and Cosmology and Gravitation Theories (19 papers). Da Huang collaborates with scholars based in China, Taiwan and Poland. Da Huang's co-authors include Chao-Qiang Geng, L. s. Tsai, Chian-Shu Chen, Yue-Liang Wu, Yong Tang, Lu Yin, Rui Santos, Bohdan Grza̧dkowski, Chengcheng Han and Z. Yu and has published in prestigious journals such as Physics Letters B, Journal of High Energy Physics and Nuclear Physics A.

In The Last Decade

Da Huang

36 papers receiving 340 citations

Author Peers

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

Author						Papers	Cites
Da Huang	329	175	20	13	12	40	348
Luc Darmé	283 0.9×	122 0.7×	30 1.5×	11 0.8×	16 1.3×	24	297
V. F. Yakushev	274 0.8×	110 0.6×	26 1.3×	9 0.7×	3 0.3×	30	305
Rodolfo A. Díaz	297 0.9×	56 0.3×	26 1.3×	18 1.4×	15 1.3×	24	351
D. Haidt	380 1.2×	74 0.4×	24 1.2×	13 1.0×	14 1.2×	21	401
M. Reboud	361 1.1×	52 0.3×	18 0.9×	13 1.0×	28 2.3×	19	380
Kodai Sakurai	368 1.1×	131 0.7×	12 0.6×	10 0.8×	10 0.8×	25	379
Ryan Plestid	363 1.1×	78 0.4×	54 2.7×	7 0.5×	7 0.6×	33	389
Amin Aboubrahim	373 1.1×	190 1.1×	16 0.8×	14 1.1×	16 1.3×	28	394
Alexis D. Plascencia	369 1.1×	205 1.2×	29 1.4×	20 1.5×	14 1.2×	19	383
Daniele S. M. Alves	358 1.1×	181 1.0×	43 2.1×	15 1.2×	6 0.5×	20	369

Countries citing papers authored by Da Huang

Since Specialization

Citations

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

Fields of papers citing papers by Da Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Da Huang

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