Chih-Hung Chang
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- Mathematical Dynamics and Fractals 12
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- Cellular Automata and Applications 23
- semigroups and automata theory 3
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- Neural Networks and Applications 6
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- Neural Networks Stability and Synchronization 13
- Nonlinear Dynamics and Pattern Formation 8
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- Neural dynamics and brain function 7
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- Theoretical and Computational Physics 4
- Co-authors
- Syuan‐Yi ChenHsin‐Han ChiangTungsheng LiuMao‐Jiun J. WangD R Meeks-WagnerRichard WhiteAlan J. KellyZiyuan Chen
- Journals
- Neural Networks (3 papers)International Journal of Bifurcation and Chaos (2 papers)Information Sciences (1 paper)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Chih-Hung Chang
35 papers receiving 477 citations
Peers
Comparison fields: 5 of 84
- Control and Systems Engineering 194
- Mathematical Physics 38
- Computational Theory and Mathematics 65
- Energy Engineering and Power Technology 9
- Artificial Intelligence 83
Countries citing papers authored by Chih-Hung Chang
This map shows the geographic impact of Chih-Hung 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 Chih-Hung Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chih-Hung Chang more than expected).
Fields of papers citing papers by Chih-Hung Chang
This network shows the impact of papers produced by Chih-Hung 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 Chih-Hung Chang. The network helps show where Chih-Hung Chang may publish in the future.
Co-authorship network
The 24 scholars most cited alongside Chih-Hung Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2022 | 1 | |
| 4 | 2021 | 3 | |
| 5 | 2021 | 6 | |
| 6 | 2021 | 6 | |
| 7 | 2020 | 0 | |
| 8 | 2020 | 0 | |
| 9 | 2016 | 6 | |
| 10 | 2015 | 1 | |
| 11 | 2015 | 63 | |
| 12 | 2013 | 4 | |
| 13 | 2013 | 4 | |
| 14 | 2013 | 15 | |
| 15 | The Complexity of Permutive Cellular Automata. | 2011 | 2 |
| 16 | 2011 | 0 | |
| 17 | 2011 | 1 | |
| 18 | A Transient HLLC type Incompressible Riemann Solver and Application on Aortic Flows Simulation | 2009 | 0 |
| 19 | Numerical Simulation of an Aortic Flow Based on a HLLC Type Incompressible Flow Solver | 2009 | 6 |
| 20 | 1990 | 30 |
About Chih-Hung Chang
Chih-Hung Chang is a scholar working on Computational Theory and Mathematics, Mathematical Physics and Computer Networks and Communications, having authored 47 papers that have together received 495 indexed citations. Recurring topics across this work include Cellular Automata and Applications (23 papers), Neural Networks Stability and Synchronization (13 papers), Mathematical Dynamics and Fractals (12 papers), Nonlinear Dynamics and Pattern Formation (8 papers), Neural dynamics and brain function (7 papers), Neural Networks and Applications (6 papers), Theoretical and Computational Physics (4 papers) and semigroups and automata theory (3 papers). The work is most often cited by research in Control and Systems Engineering (194 citations), Mathematical Physics (38 citations) and Computational Theory and Mathematics (65 citations). Chih-Hung Chang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Syuan‐Yi Chen, Hsin‐Han Chiang, Tungsheng Liu, Mao‐Jiun J. Wang, D R Meeks-Wagner, Richard White, Alan J. Kelly, Ziyuan Chen, Yi-Pei Chen and Lun‐Wei Ku. Their work appears in journals such as Neural Networks, International Journal of Bifurcation and Chaos, Information Sciences, Applied Ergonomics and IEEE Access.
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.