Song-Sun Lin

61 total papers · 993 total citations
42 papers, 713 citations indexed

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 42 papers receiving a total of 713 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computational Theory and Mathematics, 18 papers in Applied Mathematics and 17 papers in Computer Networks and Communications. Recurrent topics in Song-Sun Lin's work include Cellular Automata and Applications (16 papers), Neural Networks Stability and Synchronization (15 papers) and Nonlinear Partial Differential Equations (14 papers). Song-Sun Lin is often cited by papers focused on Cellular Automata and Applications (16 papers), Neural Networks Stability and Synchronization (15 papers) and Nonlinear Partial Differential Equations (14 papers). Song-Sun Lin collaborates with scholars based in Taiwan, China and United States. Song-Sun Lin's co-authors include Jonq Juang, Sze‐Bi Hsu, Kuo-Shung Cheng, Chih-Wen Shih, Chang‐Shou Lin, Tetu Makino, Cheng-Hsiung Hsu, Chih‐Hung Chang, Wen‐Wei Lin and Chih-Hung Chang and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Transactions of the American Mathematical Society and Journal of Differential Equations.

In The Last Decade

Song-Sun Lin

39 papers receiving 641 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Song-Sun Lin	343	290	209	130	122	42	713
Andrej Zlatoš	455 1.3×	240 0.8×	81 0.4×	323 2.5×	248 2.0×	43	895
James Nolen	187 0.5×	187 0.6×	69 0.3×	160 1.2×	345 2.8×	36	697
Tibor Krisztin	284 0.8×	160 0.6×	225 1.1×	63 0.5×	245 2.0×	47	714
Christian Pötzsche	289 0.8×	96 0.3×	194 0.9×	103 0.8×	120 1.0×	77	676
G. E. H. Reuter	152 0.4×	130 0.4×	46 0.2×	282 2.2×	111 0.9×	30	860
Pavol Brunovský	90 0.3×	202 0.7×	87 0.4×	101 0.8×	59 0.5×	35	837
F. M. Arscott	332 1.0×	210 0.7×	57 0.3×	127 1.0×	362 3.0×	32	875
Bernd Aulbach	216 0.6×	113 0.4×	138 0.7×	110 0.8×	74 0.6×	45	630
Rafael Obaya	265 0.8×	119 0.4×	173 0.8×	234 1.8×	133 1.1×	84	750
George Seifert	419 1.2×	126 0.4×	65 0.3×	70 0.5×	147 1.2×	65	695

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).

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.

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

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

All Works

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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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