Song Cui

41 total papers · 739 total citations
34 papers, 497 citations indexed

About

Song Cui is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Electrical and Electronic Engineering. According to data from OpenAlex, Song Cui has authored 34 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Civil and Structural Engineering, 9 papers in Mechanics of Materials and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Song Cui's work include Structural Health Monitoring Techniques (11 papers), Ultrasonics and Acoustic Wave Propagation (6 papers) and Ultra-Wideband Communications Technology (5 papers). Song Cui is often cited by papers focused on Structural Health Monitoring Techniques (11 papers), Ultrasonics and Acoustic Wave Propagation (6 papers) and Ultra-Wideband Communications Technology (5 papers). Song Cui collaborates with scholars based in China, United States and Hong Kong. Song Cui's co-authors include C.W. Lim, Weian Yao, Shirong Zhou, Shanshan Zhu, Jianmin Wan, Haiyang Wang, Enlai Zheng, Zhuang Xu, Linglong Liu and Liang Cai and has published in prestigious journals such as New Phytologist, Journal of Sound and Vibration and International Journal of Solids and Structures.

In The Last Decade

Song Cui

30 papers receiving 486 citations

Author Peers

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

Author						Papers	Cites
Song Cui	193	158	150	109	89	34	497
Xianqi Hu	189 1.0×	191 1.2×	59 0.4×	85 0.8×	11 0.1×	25	539
Wenqiang Wang	179 0.9×	20 0.1×	98 0.7×	86 0.8×	17 0.2×	38	529
Hong-Il Kim	73 0.4×	149 0.9×	40 0.3×	84 0.8×	10 0.1×	64	595
Enrico Bertocchi	33 0.2×	169 1.1×	253 1.7×	18 0.2×	47 0.5×	37	552
Haiming Wang	62 0.3×	77 0.5×	21 0.1×	157 1.4×	28 0.3×	30	567
Juan Felipe Beltrán	16 0.1×	210 1.3×	159 1.1×	46 0.4×	45 0.5×	36	510
Shengbo Wang	102 0.5×	17 0.1×	89 0.6×	98 0.9×	13 0.1×	31	477
Ziqi He	88 0.5×	164 1.0×	37 0.2×	32 0.3×	5 0.1×	45	459
W.J. Lewis	18 0.1×	321 2.0×	49 0.3×	113 1.0×	80 0.9×	34	493
Yue Wang	120 0.6×	139 0.9×	21 0.1×	74 0.7×	7 0.1×	34	533

Countries citing papers authored by Song Cui

Since Specialization

Citations

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

Fields of papers citing papers by Song Cui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Cui

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