Shu-Ming Chang

580 citations
14 papers · 379 · h-index 9

Impact in

Papers in

Shu-Ming Chang

12 papers receiving 341 citations

Peers

Shu-Ming Chang
Comparison fields: 5 of 45
  • Mathematical Physics 166
  • Statistical and Nonlinear Physics 147
  • Applied Mathematics 104
  • Computational Theory and Mathematics 87
  • Numerical Analysis 29
Replace Thomas Chambrion with:
Thomas Chambrion France
Peter Kuchment United States
M. M. Skriganov Russia
Joachim von Below France
K. Chandrasekharan Switzerland
Meraj Ali Khan Saudi Arabia
Iosif Polterovich Canada
Jarosław Kwapisz United States
Klaus Jänich Germany
Shu-Ming Chang relative to Thomas Chambrion France Thomas Chambrion's profile →
Citations per field
00.5×6.7×
Thomas Chambrion · 1×
Citations per year

Countries citing papers authored by Shu-Ming Chang

Since Specialization
Citations

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

Fields of papers citing papers by Shu-Ming Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Shu-Ming 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 Shu-Ming Chang Line = papers co-authored together Shu-Ming Chang links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2004129
2 200796
3 200442
4 200934
5 201018
6 200816
7 200512
8 200712
9 20249
10 20054
11 20024
12
Chaotic Generator in Digital Secure Communication
20092
13 20111
14 20250

About Shu-Ming Chang

Shu-Ming Chang is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics, Mathematical Physics, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 379 indexed citations. Recurring topics across this work include Chaos control and synchronization (4 papers), Cold Atom Physics and Bose-Einstein Condensates (4 papers), Chaos-based Image/Signal Encryption (3 papers), Nonlinear Dynamics and Pattern Formation (3 papers), Mathematical Dynamics and Fractals (3 papers), Nonlinear Waves and Solitons (2 papers), Strong Light-Matter Interactions (2 papers) and Ultrasound and Hyperthermia Applications (1 paper). The work is most often cited by research in Mathematical Physics (166 citations), Statistical and Nonlinear Physics (147 citations), Applied Mathematics (104 citations), Computational Theory and Mathematics (87 citations) and Numerical Analysis (29 citations). Shu-Ming Chang has collaborated with scholars based in Taiwan, Japan and Canada. Frequent co-authors include Wen‐Wei Lin, Tai‐Chia Lin, Chang‐Shou Lin, Stephen J. Gustafson, Tai‐Peng Tsai, Kenji Nakanishi, TingTing Hwang, Fan-Yi Lin, Ming‐Chia Li and Chang-Yi Lin. Their work appears in journals such as International Journal of Bifurcation and Chaos, Journal of Computational Physics, Physica D Nonlinear Phenomena, Brain Communications and Chaos An Interdisciplinary Journal of Nonlinear Science.

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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