Kuan‐Chang Chang
- Electrical and Electronic Engineering top 0.5%
- Polymers and Plastics top 1%
- Materials Chemistry top 5%
- Cellular and Molecular Neuroscience top 2%
- Biomedical Engineering top 10%
- Co-authors
- Ting‐Chang ChangTsung‐Ming TsaiTian-Jian ChuSimon M. SzeYong-En SyuMin-Chen ChenLei LiChih-Hung Pan
- Topics
- Advanced Memory and Neural Computing (110 papers)Ferroelectric and Negative Capacitance Devices (70 papers)Semiconductor materials and devices (59 papers)
- Cited by
- Polymers and PlasticsElectrical and Electronic EngineeringCellular and Molecular Neuroscience
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Kuan‐Chang Chang
229 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Electrical and Electronic Engineering 4.1k
- Polymers and Plastics 1.2k
- Materials Chemistry 1.2k
- Cellular and Molecular Neuroscience 941
- Biomedical Engineering 359
Countries citing papers authored by Kuan‐Chang Chang
This map shows the geographic impact of Kuan‐Chang 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 Kuan‐Chang Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuan‐Chang Chang more than expected).
Fields of papers citing papers by Kuan‐Chang Chang
This network shows the impact of papers produced by Kuan‐Chang 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 Kuan‐Chang Chang. The network helps show where Kuan‐Chang Chang may publish in the future.
Co-authorship network of co-authors of Kuan‐Chang Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Kuan‐Chang Chang. A scholar is included among the top collaborators of Kuan‐Chang 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 Kuan‐Chang Chang. Kuan‐Chang 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 | 2 | |
| 2 | 5 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 39 | |
| 6 | 4 | |
| 7 | 25 | |
| 8 | 30 | |
| 9 | 12 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 16 | |
| 13 | 22 | |
| 14 | 19 | |
| 15 | 58 | |
| 16 | 8 | |
| 17 | 4 | |
| 18 | 10 | |
| 19 | 98 | |
| 20 | 9 |
About Kuan‐Chang Chang
Kuan‐Chang Chang is a scholar working on Polymers and Plastics, Electrical and Electronic Engineering and Biological Psychiatry, having authored 234 papers that have together received 4.7k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (110 papers), Ferroelectric and Negative Capacitance Devices (70 papers) and Semiconductor materials and devices (59 papers). The work is most often cited by research in Polymers and Plastics (1.2k citations), Electrical and Electronic Engineering (4.1k citations) and Cellular and Molecular Neuroscience (941 citations). Kuan‐Chang Chang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Ting‐Chang Chang, Tsung‐Ming Tsai, Tian-Jian Chu, Simon M. Sze, Simon M. Sze, Yong-En Syu, Min-Chen Chen, Lei Li, Chih-Hung Pan and Jung‐Hui Chen. Their work appears in journals such as Nano Letters, ACS Nano and Applied Physics Letters.
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.