Tsing‐San Hsu

54 total papers · 412 total citations
43 papers, 272 citations indexed

About

Tsing‐San Hsu is a scholar working on Applied Mathematics, Computational Theory and Mathematics and Mathematical Physics. According to data from OpenAlex, Tsing‐San Hsu has authored 43 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Applied Mathematics, 37 papers in Computational Theory and Mathematics and 11 papers in Mathematical Physics. Recurrent topics in Tsing‐San Hsu's work include Nonlinear Partial Differential Equations (43 papers), Advanced Mathematical Modeling in Engineering (37 papers) and Nonlinear Differential Equations Analysis (28 papers). Tsing‐San Hsu is often cited by papers focused on Nonlinear Partial Differential Equations (43 papers), Advanced Mathematical Modeling in Engineering (37 papers) and Nonlinear Differential Equations Analysis (28 papers). Tsing‐San Hsu collaborates with scholars based in Taiwan, China and Iran. Tsing‐San Hsu's co-authors include Jinguo Zhang and Nemat Nyamoradi and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Nonlinear Analysis and Mathematical Methods in the Applied Sciences.

In The Last Decade

Tsing‐San Hsu

40 papers receiving 253 citations

Author Peers

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

Author Last Decade Papers Cites
Tsing‐San Hsu 270 238 94 7 6 43 272
Prashanta Garain 248 0.9× 160 0.7× 102 1.1× 8 1.1× 12 2.0× 34 250
Iwona Chlebicka 259 1.0× 211 0.9× 144 1.5× 14 2.0× 15 2.5× 22 277
José Carmona 235 0.9× 216 0.9× 96 1.0× 17 2.4× 16 2.7× 35 262
Jehan Oh 247 0.9× 201 0.8× 114 1.2× 5 0.7× 11 1.8× 28 272
Luigi Montoro 315 1.2× 236 1.0× 135 1.4× 9 1.3× 24 4.0× 40 327
Seunghyeok Kim 205 0.8× 158 0.7× 81 0.9× 5 0.7× 14 2.3× 25 206
Xiaohui Yu 232 0.9× 170 0.7× 98 1.0× 19 2.7× 13 2.2× 32 244
Anna Zatorska‐Goldstein 214 0.8× 173 0.7× 119 1.3× 8 1.1× 7 1.2× 26 233
Sven Jarohs 187 0.7× 145 0.6× 86 0.9× 2 0.3× 16 2.7× 20 195
Pedro J. Martínez−Aparicio 269 1.0× 268 1.1× 133 1.4× 17 2.4× 14 2.3× 28 293

Countries citing papers authored by Tsing‐San Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Tsing‐San Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tsing‐San Hsu. 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 Tsing‐San Hsu. The network helps show where Tsing‐San Hsu may publish in the future.

Co-authorship network of co-authors of Tsing‐San Hsu

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

All Works

Loading papers...

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