S.S. Chang

37 papers receiving 387 citations

Peers

S.S. Chang
Comparison fields: 5 of 24
  • Numerical Analysis 218
  • Geometry and Topology 303
  • Computational Theory and Mathematics 415
  • Applied Mathematics 69
  • Statistics and Probability 26
Replace Somyot Plubtieng with:
Somyot Plubtieng Thailand
Jong Soo Jung South Korea
Paolo Cubiotti Italy
渉 高橋
Hong Kun Xu China
Silviu Sburlan Romania
Marius Durea Romania
Lu-Chuan Zeng China
Ariana Pitea Romania
Phạm Hữu Sách Vietnam
S.S. Chang relative to Somyot Plubtieng Thailand Somyot Plubtieng's profile →
Citations per field
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Somyot Plubtieng · 1×
Citations per year

Countries citing papers authored by S.S. Chang

Since Specialization
Citations

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

Fields of papers citing papers by S.S. Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside S.S. Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S.S. Chang Line = papers co-authored together S.S. Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200665
2 199863
3 200545
4 200239
5 200035
6 200031
7 201125
8 201317
9 199812
10 201311
11 201410
12 20069
13 20057
14 20137
15 20096
16 20116
17 20205
18
On the theory of probabilistic metric spaces with applications
19855
19 20035
20 20195

About S.S. Chang

S.S. Chang is a scholar working on Computational Theory and Mathematics, Geometry and Topology, Numerical Analysis, Civil and Structural Engineering and Applied Mathematics, having authored 39 papers that have together received 443 indexed citations. Recurring topics across this work include Optimization and Variational Analysis (36 papers), Fixed Point Theorems Analysis (26 papers), Advanced Optimization Algorithms Research (15 papers), Contact Mechanics and Variational Inequalities (11 papers), Topology Optimization in Engineering (7 papers), Nonlinear Differential Equations Analysis (5 papers), Brake Systems and Friction Analysis (1 paper) and Iterative Methods for Nonlinear Equations (1 paper). The work is most often cited by research in Numerical Analysis (218 citations), Geometry and Topology (303 citations), Computational Theory and Mathematics (415 citations), Applied Mathematics (69 citations) and Statistics and Probability (26 citations). S.S. Chang has collaborated with scholars based in China, South Korea and Hong Kong. Frequent co-authors include Chi Kin Chan, Joseph H. W. Lee, Shin Min Kang, Lidong Wang, Jong Soo Jung, Kok-Keong Tan, Y.J. Cho, Il Hyo Jung, Yi Tang and Salahuddin Salahuddin. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Applied Mathematics and Computation, Fuzzy Sets and Systems, Applied Mathematics Letters and Abstract and Applied Analysis.

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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