Xiaowen Song

537 total citations
55 papers, 368 citations indexed

About

Xiaowen Song is a scholar working on Mechanical Engineering, Mechanics of Materials and Computational Mechanics. According to data from OpenAlex, Xiaowen Song has authored 55 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Mechanical Engineering, 16 papers in Mechanics of Materials and 14 papers in Computational Mechanics. Recurrent topics in Xiaowen Song's work include Mechanical Behavior of Composites (12 papers), Composite Structure Analysis and Optimization (9 papers) and Advanced Numerical Analysis Techniques (7 papers). Xiaowen Song is often cited by papers focused on Mechanical Behavior of Composites (12 papers), Composite Structure Analysis and Optimization (9 papers) and Advanced Numerical Analysis Techniques (7 papers). Xiaowen Song collaborates with scholars based in China, United States and Japan. Xiaowen Song's co-authors include Thomas W. Sederberg, Jianmin Zheng, Huiming Ding, An Li, Rida T. Farouki, Joel Hass, Han Wang, Kun Feng, Weidong Zhou and Honghong Duan and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Xiaowen Song

51 papers receiving 356 citations

Peers

Xiaowen Song
Comparison fields: 5 of 62
  • Computational Mechanics 128
  • Mechanical Engineering 120
  • Mechanics of Materials 101
  • Industrial and Manufacturing Engineering 53
  • Computer Graphics and Computer-Aided Design 51
Replace Jianbin Chen with:
Jianbin Chen China
Andrzej Perec Poland
Songsong Li China
Junfeng Guo China
Levent Aydın Türkiye
Dadan Ramdan Indonesia
Chaitanya Krishna Prasad Vallabh United States
Junjie He China
Guojun Zhang China
Jianbin Chen China View profile →
Citations per field, relative to Xiaowen Song
Xiaowen Song · 1×
Citations per year, relative to Xiaowen Song
Xiaowen Song · 1×

Countries citing papers authored by Xiaowen Song

Since Specialization
Citations

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

Fields of papers citing papers by Xiaowen Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaowen Song

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaowen Song. A scholar is included among the top collaborators of Xiaowen 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 Xiaowen Song. Xiaowen 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 4
2 0
3 1
4 1
5 1
6 0
7 0
8 4
9 1
10 3
11 2
12 1
13 1
14 10
15 8
16 3
17 1
18 35
19 8
20 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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