Song Xiang

898 citations
52 papers · 758 indexed · h-index 15
Topics
Composite Structure Analysis and Optimization (31 papers)Structural Load-Bearing Analysis (24 papers)Numerical methods in engineering (18 papers)

In The Last Decade

Song Xiang

47 papers receiving 716 citations

Peers

Song Xiang
Comparison fields: 5 of 51
  • Mechanics of Materials 671
  • Civil and Structural Engineering 484
  • Control and Systems Engineering 151
  • Mechanical Engineering 103
  • Materials Chemistry 96
Replace Eugenio Ruocco with:
Eugenio Ruocco Italy
K. P. Kou Macao
Yingqing Huang China
Yapeng Shen China
S. A. Eftekhari Iran
Eduard Ventsel United States
D. Redekop Canada
C.P. Filipich Argentina
Javad Alamatian Iran
Hou Man Australia
Song Xiang relative to Eugenio Ruocco Italy Eugenio Ruocco's profile →
Citations per field
00.5×1.5×
Eugenio Ruocco · 1×
Citations per year

Countries citing papers authored by Song Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Song Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Xiang

This figure shows the co-authorship network connecting the top 25 collaborators of Song Xiang. A scholar is included among the top collaborators of Song Xiang 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 Xiang. Song Xiang 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
#WorkIndexed citations
1 1
2 0
3 4
4 8
5 0
6 1
7 3
8 3
9 3
10 1
11 2
12 1
13 3
14 94
15 9
16 45
17 7
18 4
19
THE INFLUENTIAL FACTORS AND REGIONAL DIFFERENCES OF FARMERS’LIFE SATISFACTION IN THE AGRO-PASTORAL ECOTONES OF NORTHERN CHINA——A CASE STUDY IN YANCHI COUNTY
2
20 14

About Song Xiang

Song Xiang is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Structural Biology, having authored 52 papers that have together received 758 indexed citations. Recurring topics across this work include Composite Structure Analysis and Optimization (31 papers), Structural Load-Bearing Analysis (24 papers) and Numerical methods in engineering (18 papers). The work is most often cited by research in Mechanics of Materials (671 citations), Civil and Structural Engineering (484 citations) and Control and Systems Engineering (151 citations). Song Xiang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Keming Wang, Yanting Ai, Yundong Sha, Hong Xin Shi, Yan Zhao, Yuanqiang Liu, Xian‐Fang Li, Guangchao Li, Bin Xing and Wei Zhang. Their work appears in journals such as Journal of Physics D Applied Physics, Composite Structures and Materials & Design.

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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