Michael Lau
Impact in
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Signal Processing top 10%
- Blind Source Separation Techniques
Papers in
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- ECG Monitoring and Analysis 6
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- EEG and Brain-Computer Interfaces 7
- Co-authors
- Gráinne McLoughlin (1 shared paper)Alex Lau‐Zhu (1 shared paper)L. Rothenburg (2 shared papers)Hung Cao (14 shared papers)Tadesse Ghirmai (6 shared papers)Tai Le (9 shared papers)Anh H. Nguyen (5 shared papers)Afshan B. Hameed (2 shared papers)
- Journals
- Biosensors and Bioelectronics (2 papers)Sensors (2 papers)Applied Sciences (1 paper)Journal of Biomedical Informatics (1 paper)Psychological Medicine (1 paper)
- Partner nations
- United StatesCanadaSingapore
In The Last Decade
Michael Lau
30 papers receiving 427 citations
Peers
Comparison fields: 5 of 106
- Cognitive Neuroscience 146
- Signal Processing 56
- Cardiology and Cardiovascular Medicine 98
- Atmospheric Science 65
- Algebra and Number Theory 11
Countries citing papers authored by Michael Lau
This map shows the geographic impact of Michael Lau'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 Michael Lau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Lau more than expected).
Fields of papers citing papers by Michael Lau
This network shows the impact of papers produced by Michael Lau. 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 Michael Lau. The network helps show where Michael Lau may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Lau, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 148 | |
| 2 | 2011 | 57 | |
| 3 | 2020 | 30 | |
| 4 | 2023 | 25 | |
| 5 | 2021 | 17 | |
| 6 | 2022 | 16 | |
| 7 | 2022 | 16 | |
| 8 | 2010 | 16 | |
| 9 | 2010 | 13 | |
| 10 | 2021 | 12 | |
| 11 | 2017 | 10 | |
| 12 | 2017 | 10 | |
| 13 | 2021 | 10 | |
| 14 | 2021 | 9 | |
| 15 | 2006 | 7 | |
| 16 | 2019 | 7 | |
| 17 | 2022 | 7 | |
| 18 | 2018 | 6 | |
| 19 | 2023 | 4 | |
| 20 | 2022 | 4 |
About Michael Lau
Michael Lau is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, Signal Processing, Atmospheric Science and Biomedical Engineering, having authored 32 papers that have together received 444 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (7 papers), ECG Monitoring and Analysis (6 papers), Blind Source Separation Techniques (5 papers), Arctic and Antarctic ice dynamics (5 papers), Advanced Neural Network Applications (4 papers), Wireless Body Area Networks (3 papers), Neonatal and fetal brain pathology (3 papers) and Industrial Vision Systems and Defect Detection (3 papers). The work is most often cited by research in Cognitive Neuroscience (146 citations), Signal Processing (56 citations), Cardiology and Cardiovascular Medicine (98 citations), Atmospheric Science (65 citations) and Algebra and Number Theory (11 citations). Michael Lau has collaborated with scholars based in United States, Canada and Singapore. Frequent co-authors include Gráinne McLoughlin, Alex Lau‐Zhu, L. Rothenburg, Hung Cao, Tadesse Ghirmai, Tai Le, Anh H. Nguyen, Afshan B. Hameed, Samir Malhotra and Mohammad Amin Morid. Their work appears in journals such as Biosensors and Bioelectronics, Sensors, Applied Sciences, Journal of Biomedical Informatics and Psychological Medicine.
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.