Chuansen Yang
Impact in
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
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- Conducting polymers and applications
- Transition Metal Oxide Nanomaterials
Papers in
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- Advanced Memory and Neural Computing 4
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- Conducting polymers and applications 1
- Co-authors
- Dashan Shang (6 shared papers)Young Sun (5 shared papers)Elliot James Fuller (1 shared paper)Albert Alec Talin (1 shared paper)Yong‐Qing Li (1 shared paper)Nan Liu (1 shared paper)Yisheng Chai (3 shared papers)Liqin Yan (2 shared papers)
- Journals
- Physical Chemistry Chemical Physics (2 papers)Fusion Engineering and Design (1 paper)RSC Advances (1 paper)Journal of Physics D Applied Physics (1 paper)Applied Physics Letters (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Chuansen Yang
7 papers receiving 614 citations
Chuansen Yang's Hit Papers
Peers
Comparison fields: 5 of 21
- Electrical and Electronic Engineering 548
- Polymers and Plastics 29
- Electronic, Optical and Magnetic Materials 38
- Materials Chemistry 36
- Bioengineering 2
Countries citing papers authored by Chuansen Yang
This map shows the geographic impact of Chuansen Yang'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 Chuansen Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chuansen Yang more than expected).
Fields of papers citing papers by Chuansen Yang
This network shows the impact of papers produced by Chuansen Yang. 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 Chuansen Yang. The network helps show where Chuansen Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chuansen Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | All‐Solid‐State Synaptic Transistor with Ultralow Conductance for Neuromorphic Computing Hit paper breakdown → | 2018 | 443 |
| 2 | 2016 | 68 | |
| 3 | 2016 | 49 | |
| 4 | 2016 | 38 | |
| 5 | 2015 | 13 | |
| 6 | 2020 | 11 | |
| 7 | 2025 | 2 |
About Chuansen Yang
Chuansen Yang is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics, Materials Chemistry, Electronic, Optical and Magnetic Materials and Nuclear Energy and Engineering, having authored 7 papers that have together received 624 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (4 papers), Multiferroics and related materials (1 paper), Conducting polymers and applications (1 paper), Advanced Thermoelectric Materials and Devices (1 paper) and Fusion materials and technologies (1 paper). The work is most often cited by research in Electrical and Electronic Engineering (548 citations), Polymers and Plastics (29 citations), Electronic, Optical and Magnetic Materials (38 citations), Materials Chemistry (36 citations) and Bioengineering (2 citations). Chuansen Yang has collaborated with scholars based in China and United States. Frequent co-authors include Dashan Shang, Young Sun, Elliot James Fuller, Albert Alec Talin, Yong‐Qing Li, Nan Liu, Yisheng Chai, Liqin Yan, Baogen Shen and Kun Zhai. Their work appears in journals such as Physical Chemistry Chemical Physics, Fusion Engineering and Design, RSC Advances, Journal of Physics D Applied Physics 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.