Song-Sun Lin

39 papers and 675 indexed citations i.

About

Song-Sun Lin is a scholar working on Computational Theory and Mathematics, Applied Mathematics and Computer Networks and Communications. According to data from OpenAlex, Song-Sun Lin has authored 39 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computational Theory and Mathematics, 17 papers in Applied Mathematics and 15 papers in Computer Networks and Communications. Recurrent topics in Song-Sun Lin’s work include Cellular Automata and Applications (15 papers), Nonlinear Partial Differential Equations (14 papers) and Neural Networks Stability and Synchronization (13 papers). Song-Sun Lin is often cited by papers focused on Cellular Automata and Applications (15 papers), Nonlinear Partial Differential Equations (14 papers) and Neural Networks Stability and Synchronization (13 papers). Song-Sun Lin collaborates with scholars based in Taiwan, China and United States. Song-Sun Lin's co-authors include Sze‐Bi Hsu, Kuo-Shung Cheng, Jonq Juang, Chih-Wen Shih, Chang‐Shou Lin, Tetu Makino, Cheng-Hsiung Hsu, Chih‐Hung Chang, Ting‐Hui Yang and Wen‐Wei Lin and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Transactions of the American Mathematical Society and Journal of Mathematical Physics.

In The Last Decade

Co-authorship network of co-authors of Song-Sun Lin i

Fields of papers citing papers by Song-Sun Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song-Sun Lin

Since Specialization
Citations

This map shows the geographic impact of Song-Sun 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-Sun 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-Sun 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025