Song Lin

53 total papers · 931 total citations
28 papers, 584 citations indexed

About

Song Lin is a scholar working on Mechanical Engineering, Mechanics of Materials and Polymers and Plastics. According to data from OpenAlex, Song Lin has authored 28 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Mechanical Engineering, 8 papers in Mechanics of Materials and 6 papers in Polymers and Plastics. Recurrent topics in Song Lin’s work include Industrial Vision Systems and Defect Detection (6 papers), Mechanical Behavior of Composites (4 papers) and Fiber-reinforced polymer composites (4 papers). Song Lin is often cited by papers focused on Industrial Vision Systems and Defect Detection (6 papers), Mechanical Behavior of Composites (4 papers) and Fiber-reinforced polymer composites (4 papers). Song Lin collaborates with scholars based in China, Poland and United States. Song Lin's co-authors include Peter Langfelder, Steve Horvath, Xiaolong Jia, Xiaoping Yang, Qing Cai, Lining Sun, Ke Shi, Xin Liu, Hongjie Sun and David Hui and has published in prestigious journals such as Oncogene, Composites Science and Technology and BMC Bioinformatics.

Co-authorship network of co-authors of Song Lin

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

Song Lin

26 papers receiving 570 citations

Fields of papers citing papers by Song Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song Lin

Since Specialization
Citations

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

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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