Ruqi Yang
Impact in
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
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- Advanced Memory and Neural Computing
- CCD and CMOS Imaging Sensors
- Ferroelectric and Negative Capacitance Devices
Papers in
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- Transition Metal Oxide Nanomaterials 7
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- Advanced Memory and Neural Computing 12
- CCD and CMOS Imaging Sensors 3
- Thin-Film Transistor Technologies 3
- Ferroelectric and Negative Capacitance Devices 3
- Gas Sensing Nanomaterials and Sensors 2
- Co-authors
- Jianguo Lü (17 shared papers)Zhizhen Ye (14 shared papers)Siqin Li (9 shared papers)Fei Zhuge (7 shared papers)Dunan Hu (12 shared papers)Bojing Lu (8 shared papers)Xiaodong Pi (3 shared papers)Yangdan Lu (4 shared papers)
- Journals
- Advanced Functional Materials (2 papers)Journal of Materials Chemistry C (2 papers)Nano Energy (1 paper)Materials Horizons (1 paper)Materials Today Nano (1 paper)
- Partner nations
- ChinaUnited Kingdom
In The Last Decade
Ruqi Yang
19 papers receiving 366 citations
Peers
Comparison fields: 5 of 30
- Cellular and Molecular Neuroscience 99
- Electrical and Electronic Engineering 282
- Polymers and Plastics 60
- Artificial Intelligence 80
- Materials Chemistry 77
Countries citing papers authored by Ruqi Yang
This map shows the geographic impact of Ruqi 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 Ruqi Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruqi Yang more than expected).
Fields of papers citing papers by Ruqi Yang
This network shows the impact of papers produced by Ruqi 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 Ruqi Yang. The network helps show where Ruqi Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruqi 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 | 2023 | 104 | |
| 2 | 2023 | 46 | |
| 3 | 2022 | 46 | |
| 4 | 2024 | 24 | |
| 5 | 2023 | 22 | |
| 6 | 2023 | 20 | |
| 7 | 2024 | 19 | |
| 8 | 2022 | 19 | |
| 9 | 2023 | 13 | |
| 10 | 2023 | 12 | |
| 11 | 2024 | 9 | |
| 12 | 2023 | 9 | |
| 13 | 2026 | 9 | |
| 14 | 2025 | 8 | |
| 15 | 2023 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2015 | 2 | |
| 19 | 2025 | 1 | |
| 20 | 2026 | 0 |
About Ruqi Yang
Ruqi Yang is a scholar working on Polymers and Plastics, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Artificial Intelligence and Materials Chemistry, having authored 20 papers that have together received 372 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (12 papers), Transition Metal Oxide Nanomaterials (7 papers), ZnO doping and properties (4 papers), Neural Networks and Reservoir Computing (4 papers), CCD and CMOS Imaging Sensors (3 papers), Thin-Film Transistor Technologies (3 papers), Ferroelectric and Negative Capacitance Devices (3 papers) and Gas Sensing Nanomaterials and Sensors (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (99 citations), Electrical and Electronic Engineering (282 citations), Polymers and Plastics (60 citations), Artificial Intelligence (80 citations) and Materials Chemistry (77 citations). Ruqi Yang has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Jianguo Lü, Zhizhen Ye, Siqin Li, Fei Zhuge, Dunan Hu, Bojing Lu, Xiaodong Pi, Yangdan Lu, Yue Wang and Fengzhi Wang. Their work appears in journals such as Advanced Functional Materials, Journal of Materials Chemistry C, Nano Energy, Materials Horizons and Materials Today Nano.
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.