Shangda Qu
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
Papers in
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- Advanced Memory and Neural Computing 14
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- Neuroscience and Neural Engineering 10
- Photoreceptor and optogenetics research 6
- Co-authors
- Wentao Xu (14 shared papers)Jiaqi Liu (4 shared papers)Lin Sun (8 shared papers)Yao Ni (3 shared papers)Chengpeng Jiang (4 shared papers)Lu Liu (1 shared paper)Yue Li (1 shared paper)Song Zhang (5 shared papers)
- Journals
- Nature Communications (2 papers)Nano Letters (2 papers)The Journal of Physical Chemistry Letters (2 papers)Materials Horizons (1 paper)Advanced Functional Materials (1 paper)
- Partner nations
- ChinaSouth KoreaSingapore
In The Last Decade
Shangda Qu
19 papers receiving 317 citations
Shangda Qu's Hit Papers
Peers
Comparison fields: 5 of 39
- Cellular and Molecular Neuroscience 137
- Electrical and Electronic Engineering 265
- Polymers and Plastics 48
- Cognitive Neuroscience 52
- Acoustics and Ultrasonics 2
Countries citing papers authored by Shangda Qu
This map shows the geographic impact of Shangda Qu'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 Shangda Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shangda Qu more than expected).
Fields of papers citing papers by Shangda Qu
This network shows the impact of papers produced by Shangda Qu. 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 Shangda Qu. The network helps show where Shangda Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shangda Qu, 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 | Mammalian-brain-inspired neuromorphic motion-cognition nerve achieves cross-modal perceptual enhancement Hit paper breakdown → | 2023 | 118 |
| 2 | 2023 | 69 | |
| 3 | 2022 | 34 | |
| 4 | 2023 | 25 | |
| 5 | 2024 | 17 | |
| 6 | 2023 | 10 | |
| 7 | 2024 | 9 | |
| 8 | 2025 | 7 | |
| 9 | 2021 | 6 | |
| 10 | 2024 | 5 | |
| 11 | 2021 | 4 | |
| 12 | 2024 | 4 | |
| 13 | 2020 | 3 | |
| 14 | 2022 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2013 | 1 | |
| 19 | 2025 | 1 |
About Shangda Qu
Shangda Qu is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Condensed Matter Physics and Electronic, Optical and Magnetic Materials, having authored 19 papers that have together received 321 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (14 papers), Neuroscience and Neural Engineering (10 papers), Photoreceptor and optogenetics research (6 papers), GaN-based semiconductor devices and materials (4 papers), Neural dynamics and brain function (4 papers), Ga2O3 and related materials (4 papers), ZnO doping and properties (2 papers) and Analytical Chemistry and Sensors (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (137 citations), Electrical and Electronic Engineering (265 citations), Polymers and Plastics (48 citations), Cognitive Neuroscience (52 citations) and Acoustics and Ultrasonics (2 citations). Shangda Qu has collaborated with scholars based in China, South Korea and Singapore. Frequent co-authors include Wentao Xu, Jiaqi Liu, Lin Sun, Yao Ni, Chengpeng Jiang, Lu Liu, Yue Li, Song Zhang, Junchi Liu and Yue Li. Their work appears in journals such as Nature Communications, Nano Letters, The Journal of Physical Chemistry Letters, Materials Horizons and Advanced Functional 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.