I-Ling Chang
Impact in
- Modeling and Simulation top 2%
- Fractional Differential Equations Solutions
- Numerical Analysis top 5%
- Iterative Methods for Nonlinear Equations
Papers in
-
- Carbon Nanotubes in Composites 10
- Boron and Carbon Nanomaterials Research 5
- Thermal properties of materials 5
- Graphene research and applications 5
-
- Acoustic Wave Phenomena Research 8
- Co-authors
- Shih-Hsiang Chang (5 shared papers)Lien-Wen Chen (8 shared papers)Yu‐Lung Lo (1 shared paper)Jung-San Chen (2 shared papers)Wei J. Chen (3 shared papers)Chi‐Hua Yu (1 shared paper)Yuan-Ting Lin (1 shared paper)Tzy‐Rong Lin (1 shared paper)
In The Last Decade
I-Ling Chang
40 papers receiving 534 citations
Peers
Comparison fields: 5 of 64
- Modeling and Simulation 134
- Numerical Analysis 103
- Speech and Hearing 46
- Biomedical Engineering 217
- Statistical and Nonlinear Physics 59
Countries citing papers authored by I-Ling Chang
This map shows the geographic impact of I-Ling 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 I-Ling Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I-Ling Chang more than expected).
Fields of papers citing papers by I-Ling Chang
This network shows the impact of papers produced by I-Ling 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 I-Ling Chang. The network helps show where I-Ling Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside I-Ling 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
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 97 | |
| 2 | 2007 | 82 | |
| 3 | 2017 | 79 | |
| 4 | 2014 | 37 | |
| 5 | 2022 | 35 | |
| 6 | 2014 | 25 | |
| 7 | 2022 | 21 | |
| 8 | 2013 | 16 | |
| 9 | 2012 | 16 | |
| 10 | 2014 | 15 | |
| 11 | 2009 | 15 | |
| 12 | 2007 | 11 | |
| 13 | 2012 | 9 | |
| 14 | 2021 | 9 | |
| 15 | 2008 | 8 | |
| 16 | 2011 | 8 | |
| 17 | 2007 | 7 | |
| 18 | 2020 | 6 | |
| 19 | 2015 | 6 | |
| 20 | 2013 | 6 |
About I-Ling Chang
I-Ling Chang is a scholar working on Materials Chemistry, Biomedical Engineering, Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials and Mechanics of Materials, having authored 42 papers that have together received 559 indexed citations. Recurring topics across this work include Carbon Nanotubes in Composites (10 papers), Acoustic Wave Phenomena Research (8 papers), Metamaterials and Metasurfaces Applications (6 papers), Boron and Carbon Nanomaterials Research (5 papers), Thermal properties of materials (5 papers), Metal and Thin Film Mechanics (5 papers), Graphene research and applications (5 papers) and Noise Effects and Management (4 papers). The work is most often cited by research in Modeling and Simulation (134 citations), Numerical Analysis (103 citations), Speech and Hearing (46 citations), Biomedical Engineering (217 citations) and Statistical and Nonlinear Physics (59 citations). I-Ling Chang has collaborated with scholars based in Taiwan, Russia and Ukraine. Frequent co-authors include Shih-Hsiang Chang, Lien-Wen Chen, Yu‐Lung Lo, Jung-San Chen, Wei J. Chen, Chi‐Hua Yu, Yuan-Ting Lin, Tzy‐Rong Lin, Jih‐Jen Wu and Chien‐Hao Liu. Their work appears in journals such as Journal of Applied Physics, Applied Mathematics and Computation, Journal of materials research/Pratt's guide to venture capital sources, Journal of Modern Optics and Sensors and Actuators B Chemical.
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.