Song Cui

36 total papers · 461 total citations
24 papers, 371 citations indexed

About

Song Cui is a scholar working on Atomic and Molecular Physics, and Optics, Computational Mechanics and Electrical and Electronic Engineering. According to data from OpenAlex, Song Cui has authored 24 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Atomic and Molecular Physics, and Optics, 7 papers in Computational Mechanics and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Song Cui's work include Astronomical Observations and Instrumentation (7 papers), Mechanical and Optical Resonators (5 papers) and Quantum Electrodynamics and Casimir Effect (4 papers). Song Cui is often cited by papers focused on Astronomical Observations and Instrumentation (7 papers), Mechanical and Optical Resonators (5 papers) and Quantum Electrodynamics and Casimir Effect (4 papers). Song Cui collaborates with scholars based in China, Singapore and United States. Song Cui's co-authors include Yeng Chai Soh, Wei Wei, Xiaoli Zhao, Thomas P. Lyon, Feng Li, Shuang Wang, Guanghui Ma, Xiao Zhang, Lijun Zhang and Weier Bao and has published in prestigious journals such as Applied Physics Letters, Advanced Drug Delivery Reviews and Applied Energy.

In The Last Decade

Song Cui

23 papers receiving 363 citations

Author Peers

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

Author Last Decade Papers Cites
Song Cui 117 107 96 71 54 24 371
Yuekai Sun 20 0.2× 62 0.6× 122 1.3× 100 1.4× 20 0.4× 26 443
Jiaru Zhang 42 0.4× 50 0.5× 74 0.8× 102 1.4× 28 0.5× 34 354
Bernd Meyer 104 0.9× 29 0.3× 74 0.8× 36 0.5× 33 0.6× 27 377
Y. Takeda 161 1.4× 54 0.5× 54 0.6× 39 0.5× 13 0.2× 55 441
Jason R. Brown 74 0.6× 51 0.5× 53 0.6× 56 0.8× 142 2.6× 29 401
Nan Xia 140 1.2× 80 0.7× 39 0.4× 27 0.4× 40 0.7× 24 353
Qinxin Wang 14 0.1× 61 0.6× 205 2.1× 52 0.7× 45 0.8× 22 392
Mohammad Vahabi 17 0.1× 99 0.9× 74 0.8× 21 0.3× 31 0.6× 38 376
Andrea Villa 231 2.0× 34 0.3× 41 0.4× 56 0.8× 20 0.4× 59 426
David Barona 99 0.8× 28 0.3× 63 0.7× 62 0.9× 15 0.3× 18 384

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

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026