Kaidong Song

19 total papers · 630 total citations
14 papers, 493 citations indexed

About

Kaidong Song is a scholar working on Biomedical Engineering, Automotive Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Kaidong Song has authored 14 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomedical Engineering, 10 papers in Automotive Engineering and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Kaidong Song's work include Additive Manufacturing and 3D Printing Technologies (10 papers), 3D Printing in Biomedical Research (9 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (4 papers). Kaidong Song is often cited by papers focused on Additive Manufacturing and 3D Printing Technologies (10 papers), 3D Printing in Biomedical Research (9 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (4 papers). Kaidong Song collaborates with scholars based in United States and China. Kaidong Song's co-authors include Yong Huang, Ashley M. Compaan, Wenxuan Chai, Bing Ren, Jun Yin, Deming Zhang, Yifei Jin, Qian Wu, Yanliang Zhang and Walter L. Murfee and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Advanced Drug Delivery Reviews.

In The Last Decade

Kaidong Song

13 papers receiving 482 citations

Author Peers

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

Author						Papers	Cites
Kaidong Song	424	286	53	40	32	14	493
Srikanthan Ramesh	343 0.8×	210 0.7×	77 1.5×	60 1.5×	39 1.2×	21	456
Hamed Ramezani	344 0.8×	147 0.5×	88 1.7×	59 1.5×	40 1.3×	10	483
Zeming Gu	461 1.1×	233 0.8×	78 1.5×	23 0.6×	62 1.9×	10	544
Archish Muralidharan	314 0.7×	244 0.9×	73 1.4×	15 0.4×	35 1.1×	13	526
Laura Ruiz‐Cantu	315 0.7×	160 0.6×	73 1.4×	26 0.7×	54 1.7×	17	421
Julia Emmermacher	390 0.9×	238 0.8×	74 1.4×	12 0.3×	26 0.8×	16	507
Elia A. Guzzi	268 0.6×	133 0.5×	112 2.1×	21 0.5×	29 0.9×	15	424
Libiao Liu	388 0.9×	173 0.6×	126 2.4×	33 0.8×	103 3.2×	21	543
Yonghao Wu	250 0.6×	98 0.3×	70 1.3×	26 0.7×	52 1.6×	19	431
Mohsen Askari	297 0.7×	163 0.6×	114 2.2×	43 1.1×	43 1.3×	9	431

Countries citing papers authored by Kaidong Song

Since Specialization

Citations

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

Fields of papers citing papers by Kaidong Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaidong Song

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