Zhi Yang
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- Neuroscience and Neural Engineering 37
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces 21
- Neural dynamics and brain function 13
- Biomedical Engineering top 10%
- Analog and Mixed-Signal Circuit Design 12
- Muscle activation and electromyography studies 11
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- Advanced Memory and Neural Computing 14
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- Sparse and Compressive Sensing Techniques 3
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- Retinal Imaging and Analysis 3
- Co-authors
- Wentai LiuTong WuKuan‐Fu ChenJian XuMark S. HumayunJames D. WeilandAnh Tuan NguyenLinh Hoang
- Journals
- SHILAP Revista de lepidopterología (1 paper)IEEE Transactions on Biomedical Engineering (1 paper)Sensors (1 paper)
- Partner nations
- United StatesSingaporeChina
In The Last Decade
Zhi Yang
56 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 87
- Cellular and Molecular Neuroscience 488
- Cognitive Neuroscience 405
- Biomedical Engineering 458
- Electrical and Electronic Engineering 588
- Human-Computer Interaction 19
Countries citing papers authored by Zhi Yang
This map shows the geographic impact of Zhi 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 Zhi Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhi Yang more than expected).
Fields of papers citing papers by Zhi Yang
This network shows the impact of papers produced by Zhi 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 Zhi Yang. The network helps show where Zhi Yang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhi 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 7 | |
| 5 | 2021 | 28 | |
| 6 | 2021 | 5 | |
| 7 | 2021 | 10 | |
| 8 | 2020 | 27 | |
| 9 | 2020 | 2 | |
| 10 | 2019 | 6 | |
| 11 | 2019 | 59 | |
| 12 | 2019 | 33 | |
| 13 | 2018 | 16 | |
| 14 | 2018 | 40 | |
| 15 | 2017 | 20 | |
| 16 | 2016 | 3 | |
| 17 | 2015 | 5 | |
| 18 | 2015 | 5 | |
| 19 | 2014 | 33 | |
| 20 | 2012 | 35 |
About Zhi Yang
Zhi Yang is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Biomedical Engineering, having authored 60 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (37 papers), EEG and Brain-Computer Interfaces (21 papers), Advanced Memory and Neural Computing (14 papers), Neural dynamics and brain function (13 papers), Analog and Mixed-Signal Circuit Design (12 papers), Muscle activation and electromyography studies (11 papers), Sparse and Compressive Sensing Techniques (3 papers) and Retinal Imaging and Analysis (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (488 citations), Cognitive Neuroscience (405 citations) and Biomedical Engineering (458 citations). Zhi Yang has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Wentai Liu, Tong Wu, Kuan‐Fu Chen, Jian Xu, Mark S. Humayun, James D. Weiland, Anh Tuan Nguyen, Linh Hoang, Wenfeng Zhao and Edward W. Keefer. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Biomedical Engineering and Sensors.
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.