Dai Jiang
Impact in
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- Neuroscience and Neural Engineering
- Biomedical Engineering top 5%
- Muscle activation and electromyography studies
- Analog and Mixed-Signal Circuit Design
- Advanced Sensor and Energy Harvesting Materials
- Microfluidic and Bio-sensing Technologies
Papers in ⓘ
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- Neuroscience and Neural Engineering 48
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- EEG and Brain-Computer Interfaces 25
- Co-authors
- Andreas Demosthenous (90 shared papers)Yu Wu (29 shared papers)Richard Bayford (18 shared papers)Nick Donaldson (20 shared papers)Andy Bardill (6 shared papers)Xiao Liu (6 shared papers)Paul V. Brennan (11 shared papers)Xiao Liu (1 shared paper)
- Journals
- IEEE Transactions on Biomedical Circuits and Systems (15 papers)IEEE Transactions on Circuits & Systems II Express Briefs (5 papers)IEEE Transactions on Circuits and Systems I Regular Papers (4 papers)IEEE Transactions on Neural Systems and Rehabilitation Engineering (2 papers)IEEE Sensors Journal (2 papers)
- Partner nations
- United KingdomChinaItaly
In The Last Decade
Dai Jiang
103 papers receiving 988 citations
Peers
Comparison fields: 5 of 82
- Cellular and Molecular Neuroscience 307
- Biomedical Engineering 543
- Cognitive Neuroscience 212
- Electrical and Electronic Engineering 627
- Human-Computer Interaction 40
Countries citing papers authored by Dai Jiang
This map shows the geographic impact of Dai Jiang'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 Dai Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dai Jiang more than expected).
Fields of papers citing papers by Dai Jiang
This network shows the impact of papers produced by Dai Jiang. 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 Dai Jiang. The network helps show where Dai Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dai Jiang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 71 | |
| 2 | 2018 | 68 | |
| 3 | 2016 | 62 | |
| 4 | 2019 | 61 | |
| 5 | 2021 | 59 | |
| 6 | 2020 | 56 | |
| 7 | 2011 | 43 | |
| 8 | 2018 | 33 | |
| 9 | 2018 | 27 | |
| 10 | 2012 | 27 | |
| 11 | 2018 | 24 | |
| 12 | 2024 | 24 | |
| 13 | 2013 | 23 | |
| 14 | 2022 | 19 | |
| 15 | 2020 | 18 | |
| 16 | 2020 | 17 | |
| 17 | 2008 | 16 | |
| 18 | 2014 | 15 | |
| 19 | 2017 | 15 | |
| 20 | 2021 | 14 |
About Dai Jiang
Dai Jiang is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Electrical and Electronic Engineering, Biomedical Engineering and Neurology, having authored 116 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (48 papers), EEG and Brain-Computer Interfaces (25 papers), Electrical and Bioimpedance Tomography (25 papers), Muscle activation and electromyography studies (18 papers), Advanced Memory and Neural Computing (18 papers), Wireless Power Transfer Systems (14 papers), Analog and Mixed-Signal Circuit Design (14 papers) and Advancements in PLL and VCO Technologies (12 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (307 citations), Biomedical Engineering (543 citations), Cognitive Neuroscience (212 citations), Electrical and Electronic Engineering (627 citations) and Human-Computer Interaction (40 citations). Dai Jiang has collaborated with scholars based in United Kingdom, China and Italy. Frequent co-authors include Andreas Demosthenous, Yu Wu, Richard Bayford, Nick Donaldson, Andy Bardill, Xiao Liu, Paul V. Brennan, Xiao Liu, P.M. Radmore and Anne Vanhoestenberghe. Their work appears in journals such as IEEE Transactions on Biomedical Circuits and Systems, IEEE Transactions on Circuits & Systems II Express Briefs, IEEE Transactions on Circuits and Systems I Regular Papers, IEEE Transactions on Neural Systems and Rehabilitation Engineering and IEEE Sensors Journal.
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.