David Da He
Impact in
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- ECG Monitoring and Analysis
- Heart Rate Variability and Autonomic Control
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- Non-Invasive Vital Sign Monitoring
Papers in
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- Organic Electronics and Photovoltaics 4
- Advanced Memory and Neural Computing 3
- Thin-Film Transistor Technologies 3
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- ECG Monitoring and Analysis 3
- Heart Rate Variability and Autonomic Control 2
- Co-authors
- C.G. Sodini (8 shared papers)Eric S. Winokur (3 shared papers)Vladimir Bulović (4 shared papers)Akintunde I. Akinwande (4 shared papers)Kevin Ryu (3 shared papers)Thomas Heldt (1 shared paper)Khalil B. Ramadi (1 shared paper)Rifat Atun (1 shared paper)
- Journals
- IEEE Transactions on Electron Devices (3 papers)IEEE Transactions on Biomedical Engineering (1 paper)IEEE Transactions on Biomedical Circuits and Systems (1 paper)npj Digital Medicine (1 paper)PubMed (2 papers)
- Partner nations
- United StatesUnited Arab Emirates
In The Last Decade
David Da He
9 papers receiving 399 citations
Peers
Comparison fields: 5 of 44
- Cardiology and Cardiovascular Medicine 172
- Biomedical Engineering 246
- Polymers and Plastics 44
- Electrical and Electronic Engineering 163
- Cognitive Neuroscience 51
Countries citing papers authored by David Da He
This map shows the geographic impact of David Da He'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 David Da He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Da He more than expected).
Fields of papers citing papers by David Da He
This network shows the impact of papers produced by David Da He. 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 David Da He. The network helps show where David Da He may publish in the future.
Co-authors
The 10 scholars most cited alongside David Da He, 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 | 2015 | 96 | |
| 2 | 2011 | 82 | |
| 3 | 2010 | 60 | |
| 4 | 2011 | 42 | |
| 5 | 2010 | 38 | |
| 6 | 2014 | 36 | |
| 7 | 2010 | 29 | |
| 8 | 2010 | 21 | |
| 9 | 2022 | 3 |
About David Da He
David Da He is a scholar working on Electrical and Electronic Engineering, Cardiology and Cardiovascular Medicine, Biomedical Engineering, Surgery and Cellular and Molecular Neuroscience, having authored 9 papers that have together received 407 indexed citations. Recurring topics across this work include Organic Electronics and Photovoltaics (4 papers), Advanced Memory and Neural Computing (3 papers), Non-Invasive Vital Sign Monitoring (3 papers), ECG Monitoring and Analysis (3 papers), Thin-Film Transistor Technologies (3 papers), Heart Rate Variability and Autonomic Control (2 papers), Hemodynamic Monitoring and Therapy (2 papers) and Analog and Mixed-Signal Circuit Design (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (172 citations), Biomedical Engineering (246 citations), Polymers and Plastics (44 citations), Electrical and Electronic Engineering (163 citations) and Cognitive Neuroscience (51 citations). David Da He has collaborated with scholars based in United States and United Arab Emirates. Frequent co-authors include C.G. Sodini, Eric S. Winokur, Vladimir Bulović, Akintunde I. Akinwande, Kevin Ryu, Thomas Heldt, Khalil B. Ramadi, Rifat Atun, Freddy T. Nguyen and Rhea Mehta. Their work appears in journals such as IEEE Transactions on Electron Devices, IEEE Transactions on Biomedical Engineering, IEEE Transactions on Biomedical Circuits and Systems, npj Digital Medicine and PubMed.
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.