Chuan Ke
Impact in
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Polymers and Plastics top 10%
- Transition Metal Oxide Nanomaterials
Papers in
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- Advanced Memory and Neural Computing 22
- Ferroelectric and Negative Capacitance Devices 11
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- Physics of Superconductivity and Magnetism 19
- Superconductivity in MgB2 and Alloys 16
- Co-authors
- Yong Zhao (46 shared papers)Bai Sun (24 shared papers)Guangdong Zhou (10 shared papers)Jinyou Shao (5 shared papers)Shuangsuo Mao (12 shared papers)Shouhui Zhu (9 shared papers)Tao Guo (5 shared papers)Yuanzheng Chen (4 shared papers)
In The Last Decade
Chuan Ke
53 papers receiving 852 citations
Peers
Comparison fields: 5 of 72
- Cellular and Molecular Neuroscience 228
- Polymers and Plastics 156
- Electrical and Electronic Engineering 548
- Analytical Chemistry 71
- Condensed Matter Physics 76
Countries citing papers authored by Chuan Ke
This map shows the geographic impact of Chuan Ke'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 Chuan Ke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chuan Ke more than expected).
Fields of papers citing papers by Chuan Ke
This network shows the impact of papers produced by Chuan Ke. 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 Chuan Ke. The network helps show where Chuan Ke may publish in the future.
Co-authors
The 25 scholars most cited alongside Chuan Ke, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 95 | |
| 2 | 2023 | 95 | |
| 3 | 2020 | 70 | |
| 4 | 2023 | 65 | |
| 5 | 2013 | 47 | |
| 6 | 2022 | 43 | |
| 7 | 2024 | 32 | |
| 8 | 2023 | 31 | |
| 9 | 2023 | 29 | |
| 10 | 2023 | 26 | |
| 11 | 2014 | 25 | |
| 12 | 2023 | 21 | |
| 13 | 2022 | 18 | |
| 14 | 2025 | 18 | |
| 15 | 2018 | 18 | |
| 16 | 2010 | 16 | |
| 17 | 2021 | 15 | |
| 18 | 2023 | 15 | |
| 19 | 2017 | 15 | |
| 20 | 2023 | 14 |
About Chuan Ke
Chuan Ke is a scholar working on Electrical and Electronic Engineering, Condensed Matter Physics, Polymers and Plastics, Electronic, Optical and Magnetic Materials and Mechanics of Materials, having authored 66 papers that have together received 860 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (22 papers), Physics of Superconductivity and Magnetism (19 papers), Superconductivity in MgB2 and Alloys (16 papers), Laser-induced spectroscopy and plasma (12 papers), Ferroelectric and Negative Capacitance Devices (11 papers), Iron-based superconductors research (11 papers), Transition Metal Oxide Nanomaterials (10 papers) and Analytical chemistry methods development (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (228 citations), Polymers and Plastics (156 citations), Electrical and Electronic Engineering (548 citations), Analytical Chemistry (71 citations) and Condensed Matter Physics (76 citations). Chuan Ke has collaborated with scholars based in China, Australia and Canada. Frequent co-authors include Yong Zhao, Bai Sun, Guangdong Zhou, Jinyou Shao, Shuangsuo Mao, Shouhui Zhu, Tao Guo, Yuanzheng Chen, Hongyan Wang and Chuan Yang. Their work appears in journals such as Journal of Alloys and Compounds, IEEE Transactions on Applied Superconductivity, Physica C Superconductivity, Fusion Engineering and Design and ACS Applied Nano Materials.
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.