Peng Un Mak
- Cognitive Neuroscience top 2%
- EEG and Brain-Computer Interfaces 31
- Neural dynamics and brain function 19
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- Neuroscience and Neural Engineering 24
- Biomedical Engineering top 5%
- Wireless Body Area Networks 31
- Molecular Communication and Nanonetworks 23
- Analog and Mixed-Signal Circuit Design 14
- Human-Computer Interaction top 5%
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- ECG Monitoring and Analysis 20
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- Ultrasound Imaging and Elastography 15
- Co-authors
- Mang I VaiSio Hang PunFeng WanPui‐In MakWenya NanMin DuChi Man WongAlessandro Pasquale De Rosa
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)Optics Letters (1 paper)
- Partner nations
- MacaoChinaUnited States
In The Last Decade
Peng Un Mak
117 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 91
- Cognitive Neuroscience 728
- Cellular and Molecular Neuroscience 397
- Biomedical Engineering 690
- Human-Computer Interaction 81
- Cardiology and Cardiovascular Medicine 322
Countries citing papers authored by Peng Un Mak
This map shows the geographic impact of Peng Un Mak'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 Peng Un Mak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Un Mak more than expected).
Fields of papers citing papers by Peng Un Mak
This network shows the impact of papers produced by Peng Un Mak. 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 Peng Un Mak. The network helps show where Peng Un Mak may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peng Un Mak, 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 | 5 | |
| 2 | 2024 | 8 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 14 | |
| 5 | 2023 | 0 | |
| 6 | 2022 | 2 | |
| 7 | 2022 | 4 | |
| 8 | 2021 | 7 | |
| 9 | 2020 | 5 | |
| 10 | 2020 | 0 | |
| 11 | 2019 | 17 | |
| 12 | 2018 | 29 | |
| 13 | 2017 | 4 | |
| 14 | 2012 | 35 | |
| 15 | A snoring classifier based on Heart Rate Variability analysis | 2011 | 1 |
| 16 | 2011 | 1 | |
| 17 | 2010 | 5 | |
| 18 | 2010 | 2 | |
| 19 | 2007 | 11 | |
| 20 | 2005 | 3 |
About Peng Un Mak
Peng Un Mak is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Cellular and Molecular Neuroscience, having authored 127 papers that have together received 1.6k indexed citations. Recurring topics across this work include Wireless Body Area Networks (31 papers), EEG and Brain-Computer Interfaces (31 papers), Neuroscience and Neural Engineering (24 papers), Molecular Communication and Nanonetworks (23 papers), ECG Monitoring and Analysis (20 papers), Neural dynamics and brain function (19 papers), Ultrasound Imaging and Elastography (15 papers) and Analog and Mixed-Signal Circuit Design (14 papers). The work is most often cited by research in Cognitive Neuroscience (728 citations), Cellular and Molecular Neuroscience (397 citations) and Biomedical Engineering (690 citations). Peng Un Mak has collaborated with scholars based in Macao, China and United States. Frequent co-authors include Mang I Vai, Sio Hang Pun, Feng Wan, Pui‐In Mak, Wenya Nan, Min Du, Chi Man Wong, Alessandro Pasquale De Rosa, Boyu Wang and Rui P. Martins. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Optics Letters.
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.