Tai Le
Impact in
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- ECG Monitoring and Analysis
- Heart Rate Variability and Autonomic Control
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- Blind Source Separation Techniques
Papers in
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- ECG Monitoring and Analysis 7
- Heart Rate Variability and Autonomic Control 5
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- EEG and Brain-Computer Interfaces 9
- Neural dynamics and brain function 3
- Co-authors
- Hung Cao (20 shared papers)Nikil Dutt (3 shared papers)Michael Lau (9 shared papers)Xiaolei Xu (6 shared papers)Tadesse Ghirmai (4 shared papers)Miguel Huerta (4 shared papers)Sandeep Krishnan (1 shared paper)Amir M. Rahmani (1 shared paper)
- Journals
- Sensors (3 papers)Biosensors and Bioelectronics (2 papers)PLoS ONE (2 papers)IEEE Sensors Journal (2 papers)Frontiers in Oncology (1 paper)
- Partner nations
- United StatesVietnamChina
In The Last Decade
Tai Le
22 papers receiving 286 citations
Peers
Comparison fields: 5 of 71
- Cardiology and Cardiovascular Medicine 156
- Signal Processing 42
- Bioengineering 20
- Cognitive Neuroscience 61
- Biomedical Engineering 98
Countries citing papers authored by Tai Le
This map shows the geographic impact of Tai Le'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 Tai Le with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tai Le more than expected).
Fields of papers citing papers by Tai Le
This network shows the impact of papers produced by Tai Le. 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 Tai Le. The network helps show where Tai Le may publish in the future.
Co-authors
The 25 scholars most cited alongside Tai Le, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 46 | |
| 2 | 2019 | 31 | |
| 3 | 2020 | 30 | |
| 4 | 2020 | 28 | |
| 5 | 2020 | 21 | |
| 6 | 2017 | 19 | |
| 7 | 2022 | 16 | |
| 8 | 2020 | 16 | |
| 9 | 2016 | 13 | |
| 10 | 2021 | 12 | |
| 11 | 2019 | 11 | |
| 12 | 2021 | 10 | |
| 13 | 2018 | 8 | |
| 14 | 2019 | 7 | |
| 15 | 2018 | 6 | |
| 16 | 2018 | 6 | |
| 17 | 2018 | 6 | |
| 18 | 2022 | 4 | |
| 19 | 2023 | 2 | |
| 20 | 2022 | 2 |
About Tai Le
Tai Le is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, Signal Processing, Biomedical Engineering and Cell Biology, having authored 24 papers that have together received 297 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (9 papers), Blind Source Separation Techniques (7 papers), ECG Monitoring and Analysis (7 papers), Heart Rate Variability and Autonomic Control (5 papers), Zebrafish Biomedical Research Applications (4 papers), Neural dynamics and brain function (3 papers), Wireless Power Transfer Systems (2 papers) and Congenital heart defects research (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (156 citations), Signal Processing (42 citations), Bioengineering (20 citations), Cognitive Neuroscience (61 citations) and Biomedical Engineering (98 citations). Tai Le has collaborated with scholars based in United States, Vietnam and China. Frequent co-authors include Hung Cao, Nikil Dutt, Michael Lau, Xiaolei Xu, Tadesse Ghirmai, Miguel Huerta, Sandeep Krishnan, Amir M. Rahmani, Michelle Khine and Paul Marsh. Their work appears in journals such as Sensors, Biosensors and Bioelectronics, PLoS ONE, IEEE Sensors Journal and Frontiers in Oncology.
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.