Di Song

2.1k total citations
90 papers, 1.6k citations indexed

About

Di Song is a scholar working on Materials Chemistry, Mechanics of Materials and Mechanical Engineering. According to data from OpenAlex, Di Song has authored 90 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Materials Chemistry, 23 papers in Mechanics of Materials and 19 papers in Mechanical Engineering. Recurrent topics in Di Song's work include Shape Memory Alloy Transformations (28 papers), Machine Fault Diagnosis Techniques (13 papers) and Structural Health Monitoring Techniques (10 papers). Di Song is often cited by papers focused on Shape Memory Alloy Transformations (28 papers), Machine Fault Diagnosis Techniques (13 papers) and Structural Health Monitoring Techniques (10 papers). Di Song collaborates with scholars based in China, Germany and Romania. Di Song's co-authors include Guozheng Kang, Chao Yu, Qianhua Kan, Chuanzeng Zhang, Ming‐Hui Zhao, Feng Yu, Tianchi Ma, Feiyun Xu, Junxian Shen and Ying Tan and has published in prestigious journals such as Journal of The Electrochemical Society, Materials Science and Engineering A and Journal of the Mechanics and Physics of Solids.

In The Last Decade

Di Song

82 papers receiving 1.6k citations

Peers

Di Song
Comparison fields: 5 of 110
  • Materials Chemistry 877
  • Mechanical Engineering 360
  • Mechanics of Materials 261
  • Immunology 243
  • Rheumatology 176
Replace Amarendra K. Singh with:
Amarendra K. Singh India
Nan Chen China
Kenta Aoyagi Japan
Hidetoshi Ito Japan
Andrea Bacigalupo Italy
Wojciech Witkowski Poland
M.Á. Martínez Spain
Ingo Schmidt Germany
Xingzhong Zhang China
Peijian Chen China
Amarendra K. Singh India View profile →
Citations per field, relative to Di Song
Di Song · 1×
Citations per year, relative to Di Song
Di Song · 1×

Countries citing papers authored by Di Song

Since Specialization
Citations

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

Fields of papers citing papers by Di Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Song

This figure shows the co-authorship network connecting the top 25 collaborators of Di Song. A scholar is included among the top collaborators of Di 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 Di Song. Di 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 1
2 10
3 6
4 2
5 8
6 13
7 15
8 15
9 3
10 9
11 4
12 2
13 22
14 0
15 6
16 5
17 12
18 2
19 7
20 15

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026