Taoyi Wang
Impact in
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
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- Neural dynamics and brain function
Papers in
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- Advanced Memory and Neural Computing 3
- Ferroelectric and Negative Capacitance Devices 1
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- Neuroscience and Neural Engineering 3
- Photoreceptor and optogenetics research 2
- Co-authors
- Rong Zhao (3 shared papers)Luping Shi (3 shared papers)Yiyuan Yang (3 shared papers)Yonggang Huang (3 shared papers)John A. Rogers (2 shared papers)Honglie Song (2 shared papers)Fan Zhang (2 shared papers)Hangbo Zhao (2 shared papers)
- Journals
- Advanced Materials (2 papers)Science Robotics (2 papers)IEEE Transactions on Computers (1 paper)Microsystems & Nanoengineering (1 paper)Nature Protocols (1 paper)
- Partner nations
- ChinaUnited StatesAustria
In The Last Decade
Taoyi Wang
9 papers receiving 302 citations
Peers
Comparison fields: 5 of 55
- Cellular and Molecular Neuroscience 86
- Cognitive Neuroscience 54
- Biomedical Engineering 104
- Electrical and Electronic Engineering 129
- Polymers and Plastics 31
Countries citing papers authored by Taoyi Wang
This map shows the geographic impact of Taoyi Wang'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 Taoyi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taoyi Wang more than expected).
Fields of papers citing papers by Taoyi Wang
This network shows the impact of papers produced by Taoyi Wang. 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 Taoyi Wang. The network helps show where Taoyi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Taoyi Wang, 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 | 2020 | 85 | |
| 2 | 2020 | 60 | |
| 3 | 2024 | 48 | |
| 4 | 2023 | 46 | |
| 5 | 2022 | 39 | |
| 6 | 2022 | 24 | |
| 7 | 2023 | 5 | |
| 8 | 2025 | 1 | |
| 9 | 2020 | 1 |
About Taoyi Wang
Taoyi Wang is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Mechanical Engineering, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 9 papers that have together received 309 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (3 papers), Advanced Memory and Neural Computing (3 papers), Modular Robots and Swarm Intelligence (3 papers), Photoreceptor and optogenetics research (2 papers), Ferroelectric and Negative Capacitance Devices (1 paper), Advanced Photocatalysis Techniques (1 paper), Neural dynamics and brain function (1 paper) and Parallel Computing and Optimization Techniques (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (86 citations), Cognitive Neuroscience (54 citations), Biomedical Engineering (104 citations), Electrical and Electronic Engineering (129 citations) and Polymers and Plastics (31 citations). Taoyi Wang has collaborated with scholars based in China, United States and Austria. Frequent co-authors include Rong Zhao, Luping Shi, Yiyuan Yang, Yonggang Huang, John A. Rogers, Honglie Song, Fan Zhang, Hangbo Zhao, Fangwen Yu and Yihui Zhang. Their work appears in journals such as Advanced Materials, Science Robotics, IEEE Transactions on Computers, Microsystems & Nanoengineering and Nature Protocols.
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.