Tai-Ping Chang
- Materials Chemistry
- Mechanics of Materials top 5%
- Atomic and Molecular Physics, and Optics
- Control and Systems Engineering top 10%
- Civil and Structural Engineering
- Topics
- Nonlocal and gradient elasticity in micro/nano structures (12 papers)Carbon Nanotubes in Composites (11 papers)Composite Structure Analysis and Optimization (5 papers)
In The Last Decade
Tai-Ping Chang
26 papers receiving 389 citations
Peers
Comparison fields: 5 of 34
- Materials Chemistry 255
- Mechanics of Materials 241
- Atomic and Molecular Physics, and Optics 85
- Control and Systems Engineering 68
- Civil and Structural Engineering 56
Countries citing papers authored by Tai-Ping Chang
This map shows the geographic impact of Tai-Ping 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 Tai-Ping Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tai-Ping Chang more than expected).
Fields of papers citing papers by Tai-Ping Chang
This network shows the impact of papers produced by Tai-Ping 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 Tai-Ping Chang. The network helps show where Tai-Ping Chang may publish in the future.
Co-authorship network of co-authors of Tai-Ping Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Tai-Ping Chang. A scholar is included among the top collaborators of Tai-Ping 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 Tai-Ping Chang. Tai-Ping Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 24 | |
| 4 | 12 | |
| 5 | Structural identification of damages on a simplified bridge model in vehicle-bridge system from measured dynamic responses and sensitivity analysis | 1 |
| 6 | 8 | |
| 7 | Stochastic nonlinear vibration of fluid-conveying double-walled carbon nanotubes based on nonlocal elasticity theory | 1 |
| 8 | 37 | |
| 9 | Nonlinear vibration analysis of a fixed-fixed beam under oscillating axial load and vibrating magnetic field | 2 |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 15 | |
| 13 | 2 | |
| 14 | 60 | |
| 15 | 0 | |
| 16 | 12 | |
| 17 | 20 | |
| 18 | 29 | |
| 19 | 2 | |
| 20 | 1 |
About Tai-Ping Chang
Tai-Ping Chang is a scholar working on Modeling and Simulation, Human Factors and Ergonomics and Statistics, Probability and Uncertainty, having authored 27 papers that have together received 403 indexed citations. Recurring topics across this work include Nonlocal and gradient elasticity in micro/nano structures (12 papers), Carbon Nanotubes in Composites (11 papers) and Composite Structure Analysis and Optimization (5 papers). The work is most often cited by research in Mechanics of Materials (241 citations), Materials Chemistry (255 citations) and Control and Systems Engineering (68 citations). Tai-Ping Chang has collaborated with scholars based in Taiwan and China. Frequent co-authors include Mei‐Feng Liu, Wenxue Li, Ging‐Long Lin, Xing Liu and Quey‐Jen Yeh. Their work appears in journals such as Journal of Applied Mechanics, Composites Part B Engineering and Journal of Sound and Vibration.
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.