Kun Song

637 total citations
47 papers, 472 citations indexed

About

Kun Song is a scholar working on Management, Monitoring, Policy and Law, Civil and Structural Engineering and Mechanics of Materials. According to data from OpenAlex, Kun Song has authored 47 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Management, Monitoring, Policy and Law, 17 papers in Civil and Structural Engineering and 10 papers in Mechanics of Materials. Recurrent topics in Kun Song's work include Landslides and related hazards (22 papers), Dam Engineering and Safety (7 papers) and Rock Mechanics and Modeling (6 papers). Kun Song is often cited by papers focused on Landslides and related hazards (22 papers), Dam Engineering and Safety (7 papers) and Rock Mechanics and Modeling (6 papers). Kun Song collaborates with scholars based in China, Japan and Australia. Kun Song's co-authors include Fawu Wang, Shuqiang Lu, Qinglin Yi, Guodong Zhang, Echuan Yan, Zili Dai, Yu Huang, Ruiying Yang, Haifeng Huang and Yaqiong Li and has published in prestigious journals such as Physics of Fluids, Engineering Geology and The Journal of Geology.

In The Last Decade

Kun Song

39 papers receiving 460 citations

Peers

Kun Song
Comparison fields: 5 of 54
  • Management, Monitoring, Policy and Law 282
  • Civil and Structural Engineering 200
  • Safety, Risk, Reliability and Quality 87
  • Mechanical Engineering 83
  • Atmospheric Science 79
Replace Qiyao Wang with:
Qiyao Wang China
Dao‐Yuan Tan Hong Kong
Simonetta Cola Italy
Xiaoqing Yuan China
Xianze Cui China
Jiahui Xu China
Laurent Tacher Switzerland
Stanley J. Vitton United States
Chan-Young Yune South Korea
H. Péron Switzerland
Qiyao Wang China View profile →
Citations per field, relative to Kun Song
Kun Song · 1×
Citations per year, relative to Kun Song
Kun Song · 1×

Countries citing papers authored by Kun Song

Since Specialization
Citations

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

Fields of papers citing papers by Kun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Song

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Song. A scholar is included among the top collaborators of Kun 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 Kun Song. Kun 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 0
3 6
4 1
5 1
6 3
7 0
8 5
9 1
10 4
11 5
12 2
13 14
14 2
15 8
16 2
17 21
18 14
19 7
20
RESEARCH ON INTERACTION MECHANISM BETWEEN LATTICE BEAM AND SLOPE ROCK MASS AND FIELD TEST
3

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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