Ke Chang
Impact in
-
- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
-
- GaN-based semiconductor devices and materials
Papers in
-
- Advanced Memory and Neural Computing 12
- Semiconductor Lasers and Optical Devices 9
- Ferroelectric and Negative Capacitance Devices 8
- Photonic and Optical Devices 6
-
- Semiconductor Quantum Structures and Devices 10
- Co-authors
- Hui Wang (13 shared papers)Binbin Liu (6 shared papers)Xinhui Zhao (8 shared papers)Yiru Niu (6 shared papers)Maria Antonia Brovelli (1 shared paper)Qi Zhou (1 shared paper)Yuheng Zhang (1 shared paper)Yong Yu (1 shared paper)
In The Last Decade
Ke Chang
32 papers receiving 343 citations
Peers
Comparison fields: 5 of 70
- Electrical and Electronic Engineering 221
- Condensed Matter Physics 42
- Cellular and Molecular Neuroscience 64
- Polymers and Plastics 47
- Marketing 27
Countries citing papers authored by Ke Chang
This map shows the geographic impact of Ke 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 Ke Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Chang more than expected).
Fields of papers citing papers by Ke Chang
This network shows the impact of papers produced by Ke 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 Ke Chang. The network helps show where Ke Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ke 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 46 | |
| 2 | 2022 | 37 | |
| 3 | 1999 | 31 | |
| 4 | 2021 | 27 | |
| 5 | 2021 | 26 | |
| 6 | 2010 | 22 | |
| 7 | 2021 | 21 | |
| 8 | 2022 | 21 | |
| 9 | 2023 | 16 | |
| 10 | 2023 | 12 | |
| 11 | 2023 | 11 | |
| 12 | 2020 | 11 | |
| 13 | 2022 | 10 | |
| 14 | 2022 | 8 | |
| 15 | 2021 | 7 | |
| 16 | 1991 | 7 | |
| 17 | 2022 | 6 | |
| 18 | 1992 | 6 | |
| 19 | Analysis of laser damage on infrared detectors | 2002 | 4 |
| 20 | 2022 | 3 |
About Ke Chang
Ke Chang is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Materials Chemistry, Cellular and Molecular Neuroscience and Polymers and Plastics, having authored 34 papers that have together received 353 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (12 papers), Semiconductor Quantum Structures and Devices (10 papers), Semiconductor Lasers and Optical Devices (9 papers), Ferroelectric and Negative Capacitance Devices (8 papers), Photonic and Optical Devices (6 papers), Neuroscience and Neural Engineering (4 papers), Transition Metal Oxide Nanomaterials (4 papers) and GaN-based semiconductor devices and materials (3 papers). The work is most often cited by research in Electrical and Electronic Engineering (221 citations), Condensed Matter Physics (42 citations), Cellular and Molecular Neuroscience (64 citations), Polymers and Plastics (47 citations) and Marketing (27 citations). Ke Chang has collaborated with scholars based in China, Taiwan and Italy. Frequent co-authors include Hui Wang, Binbin Liu, Xinhui Zhao, Yiru Niu, Maria Antonia Brovelli, Qi Zhou, Yuheng Zhang, Yong Yu, Weinan Zhang and Kan Ren. Their work appears in journals such as Applied Physics Letters, Physical Review Applied, Solid-State Electronics, Journal of Applied Physics and Electronics 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.