Kaijie Song

427 citations
8 papers · 304 indexed · 1 hit paper · h-index 6
Topics
Additive Manufacturing Materials and Processes (6 papers)Welding Techniques and Residual Stresses (4 papers)Additive Manufacturing and 3D Printing Technologies (4 papers)
Partner nations
ChinaNetherlands

In The Last Decade

Kaijie Song

8 papers receiving 292 citations

Hit Papers

A review on wire and arc additive manufacturing of titani...2021202620222024202150100150200

Peers

Kaijie Song
Comparison fields: 5 of 25
  • Mechanical Engineering 283
  • Automotive Engineering 110
  • Materials Chemistry 97
  • Mechanics of Materials 33
  • Industrial and Manufacturing Engineering 18
Replace Timo Rautio with:
Timo Rautio Finland
Sylwia Rzepa Czechia
H.Q. Li China
Lexuri Vázquez Spain
M.H. Farshidianfar Iran
Muztahid Muhammad United States
S. Amir H. Motaman Germany
Brian W. Martin United States
Huizhi Peng Australia
Sıla Ece Atabay Canada
Kaijie Song relative to Timo Rautio Finland Timo Rautio's profile →
Citations per field
00.5×1.5×1.8×
Timo Rautio · 1×
Citations per year

Countries citing papers authored by Kaijie Song

Since Specialization
Citations

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

Fields of papers citing papers by Kaijie Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaijie Song

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 10
2 1
3 18
4 7
5 12
6 5
7
A review on wire and arc additive manufacturing of titanium alloybreakdown →
247
8 4

About Kaijie Song

Kaijie Song is a scholar working on Automotive Engineering, Mechanical Engineering and Building and Construction, having authored 8 papers that have together received 304 indexed citations. Recurring topics across this work include Additive Manufacturing Materials and Processes (6 papers), Welding Techniques and Residual Stresses (4 papers) and Additive Manufacturing and 3D Printing Technologies (4 papers). The work is most often cited by research in Automotive Engineering (110 citations), Mechanical Engineering (283 citations) and Metals and Alloys (7 citations). Kaijie Song has collaborated with scholars based in China and Netherlands. Frequent co-authors include Xinghua Yu, Zidong Lin, Wei Ya, Xuefeng Zhao, Zhen Sun, Hongjun Huang, Yan Li, Constantinos Goulas, Jun Xiao and Xinghua Yu. Their work appears in journals such as Materials Science and Engineering A, Journal of Materials Science and Journal of Alloys and Compounds.

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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