Min Song

1.5k total citations
66 papers, 1.1k citations indexed

About

Min Song is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Min Song has authored 66 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Electrical and Electronic Engineering, 19 papers in Materials Chemistry and 14 papers in Biomedical Engineering. Recurrent topics in Min Song's work include Advanced Memory and Neural Computing (24 papers), Ferroelectric and Negative Capacitance Devices (13 papers) and Gold and Silver Nanoparticles Synthesis and Applications (8 papers). Min Song is often cited by papers focused on Advanced Memory and Neural Computing (24 papers), Ferroelectric and Negative Capacitance Devices (13 papers) and Gold and Silver Nanoparticles Synthesis and Applications (8 papers). Min Song collaborates with scholars based in China, South Korea and United States. Min Song's co-authors include Long You, Jeongmin Hong, Hyungjin Kim, Shijiang Luo, Xuecheng Zou, Nuo Xu, Yue Zhang, Botao Wu, Xiaofei Yang and E Wu and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Min Song

61 papers receiving 1.0k citations

Peers

Min Song
Comparison fields: 5 of 68
  • Electrical and Electronic Engineering 605
  • Atomic and Molecular Physics, and Optics 375
  • Materials Chemistry 319
  • Electronic, Optical and Magnetic Materials 199
  • Biomedical Engineering 172
Replace Liang Fang with:
Liang Fang China
Lang Zeng China
Shinobu Fujita Japan
Xuanyao Fong Singapore
G.H. Koh South Korea
Huichu Liu United States
Shijiang Luo China
Kaihua Cao China
B. Butcher United States
Liang Fang China View profile →
Citations per field, relative to Min Song
Min Song · 1×
Citations per year, relative to Min Song
Min Song · 1×

Countries citing papers authored by Min Song

Since Specialization
Citations

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

Fields of papers citing papers by Min Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Song

This figure shows the co-authorship network connecting the top 25 collaborators of Min Song. A scholar is included among the top collaborators of Min 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 Min Song. Min Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 0
4 1
5 31
6 10
7 4
8 20
9 2
10 12
11 46
12 21
13 20
14 5
15 2
16 44
17 10
18 23
19 28
20
Behaviour of nanocrystalline Xe precipitates in Al under 1 MeV electron irradiation
1

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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