Bin‐Wei Yao
Impact in
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- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Perovskite Materials and Applications
Papers in
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- Advanced Memory and Neural Computing 6
- Perovskite Materials and Applications 2
- Ferroelectric and Negative Capacitance Devices 2
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- 2D Materials and Applications 5
- Covalent Organic Framework Applications 2
- Graphene research and applications 2
- Luminescence and Fluorescent Materials 1
- Co-authors
- Xu‐Dong Chen (7 shared papers)Tong‐Bu Lu (5 shared papers)Jiaqiang Li (3 shared papers)Jingjing Wang (2 shared papers)Jin Zhang (2 shared papers)Yaxin Hou (2 shared papers)Li Yi (1 shared paper)Zhicheng Zhang (1 shared paper)
- Journals
- Separation and Purification Technology (2 papers)Journal of the American Chemical Society (1 paper)Chem (1 paper)ACS Nano (1 paper)Nano Research (1 paper)
- Partner nations
- ChinaRussiaSaudi Arabia
In The Last Decade
Bin‐Wei Yao
10 papers receiving 631 citations
Bin‐Wei Yao's Hit Papers
Peers
Comparison fields: 5 of 39
- Cellular and Molecular Neuroscience 246
- Electrical and Electronic Engineering 544
- Polymers and Plastics 114
- Materials Chemistry 200
- Artificial Intelligence 124
Countries citing papers authored by Bin‐Wei Yao
This map shows the geographic impact of Bin‐Wei Yao'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 Bin‐Wei Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin‐Wei Yao more than expected).
Fields of papers citing papers by Bin‐Wei Yao
This network shows the impact of papers produced by Bin‐Wei Yao. 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 Bin‐Wei Yao. The network helps show where Bin‐Wei Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin‐Wei Yao, 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 | Large-Scale and Flexible Optical Synapses for Neuromorphic Computing and Integrated Visible Information Sensing Memory Processing Hit paper breakdown → | 2020 | 345 |
| 2 | 2021 | 100 | |
| 3 | 2021 | 62 | |
| 4 | 2021 | 51 | |
| 5 | 2020 | 35 | |
| 6 | 2020 | 16 | |
| 7 | 2020 | 15 | |
| 8 | 2024 | 10 | |
| 9 | 2025 | 6 | |
| 10 | 2024 | 6 |
About Bin‐Wei Yao
Bin‐Wei Yao is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Cellular and Molecular Neuroscience, Industrial and Manufacturing Engineering and Artificial Intelligence, having authored 10 papers that have together received 646 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (6 papers), 2D Materials and Applications (5 papers), Recycling and Waste Management Techniques (2 papers), Covalent Organic Framework Applications (2 papers), Graphene research and applications (2 papers), Perovskite Materials and Applications (2 papers), Ferroelectric and Negative Capacitance Devices (2 papers) and Luminescence and Fluorescent Materials (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (246 citations), Electrical and Electronic Engineering (544 citations), Polymers and Plastics (114 citations), Materials Chemistry (200 citations) and Artificial Intelligence (124 citations). Bin‐Wei Yao has collaborated with scholars based in China, Russia and Saudi Arabia. Frequent co-authors include Xu‐Dong Chen, Tong‐Bu Lu, Jiaqiang Li, Jingjing Wang, Jin Zhang, Yaxin Hou, Li Yi, Zhicheng Zhang, Zhicheng Zhang and Yuan Li. Their work appears in journals such as Separation and Purification Technology, Journal of the American Chemical Society, Chem, ACS Nano and Nano Research.
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.