Chih-Hung Chang

786 citations
47 papers · 495 indexed · h-index 11
Topics
Cellular Automata and Applications (23 papers)Neural Networks Stability and Synchronization (13 papers)Mathematical Dynamics and Fractals (12 papers)
Partner nations
TaiwanChinaUnited States

In The Last Decade

Chih-Hung Chang

35 papers receiving 477 citations

Peers

Chih-Hung Chang
Comparison fields: 5 of 84
  • Control and Systems Engineering 194
  • Electrical and Electronic Engineering 138
  • Artificial Intelligence 83
  • Computational Theory and Mathematics 65
  • Mechanical Engineering 56
Replace Junghsi Lee with:
Junghsi Lee Taiwan
Pauline Bernard France
Yuh Yamashita Japan
Da Lin China
Gianni Bianchini Italy
A. Arunkumar India
Godpromesse Kenné Cameroon
Stanislav Aranovskiy Russia
Shuxian Lun China
Carlo Savorgnan Italy
Chih-Hung Chang relative to Junghsi Lee Taiwan Junghsi Lee's profile →
Citations per field
00.5×6.2×
Junghsi Lee · 1×
Citations per year

Countries citing papers authored by Chih-Hung Chang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Chih-Hung Chang

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
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5 6
6 6
7 0
8 0
9 6
10 1
11 63
12 4
13 4
14 15
15
The Complexity of Permutive Cellular Automata.
2
16 0
17 1
18
A Transient HLLC type Incompressible Riemann Solver and Application on Aortic Flows Simulation
0
19
Numerical Simulation of an Aortic Flow Based on a HLLC Type Incompressible Flow Solver
6
20 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) and Mathematical Dynamics and Fractals (12 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 PLoS ONE, The Plant Cell 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.

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