David Yang
Impact in
- Biomedical Engineering top 10%
- Innovative Microfluidic and Catalytic Techniques Innovation
- Microfluidic and Capillary Electrophoresis Applications
- Biosensors and Analytical Detection
- 3D Printing in Biomedical Research
- Microfluidic and Bio-sensing Technologies
- Pharmaceutical Science top 10%
Papers in
-
- Electrowetting and Microfluidic Technologies 2
- Silicon and Solar Cell Technologies 1
-
- 3D Printing in Biomedical Research 2
- Innovative Microfluidic and Catalytic Techniques Innovation 2
- Anatomy and Medical Technology 1
- Co-authors
- Stephen L. Pentoney (3 shared papers)Jeffrey S. Fisher (2 shared papers)Abraham P. Lee (2 shared papers)Andrew Hatch (2 shared papers)Robert Lin (1 shared paper)Armando R. Tovar (1 shared paper)James J. Norman (1 shared paper)Rohiverth Guarecuco (1 shared paper)
- Journals
- Lab on a Chip (2 papers)Journal of Public Transportation (1 paper)Analytical Chemistry (1 paper)Polymers (1 paper)Science (1 paper)
- Partner nations
- United StatesSwitzerlandTaiwan
In The Last Decade
David Yang
8 papers receiving 546 citations
Peers
Comparison fields: 5 of 95
- Biomedical Engineering 395
- Pharmaceutical Science 34
- Automotive Engineering 50
- Electrical and Electronic Engineering 172
- Surfaces, Coatings and Films 13
Countries citing papers authored by David Yang
This map shows the geographic impact of David Yang'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 Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Yang more than expected).
Fields of papers citing papers by David Yang
This network shows the impact of papers produced by David Yang. 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 Yang. The network helps show where David Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside David Yang, 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 | 2011 | 264 | |
| 2 | 2017 | 178 | |
| 3 | 2011 | 54 | |
| 4 | 2007 | 24 | |
| 5 | 2020 | 17 | |
| 6 | 2007 | 9 | |
| 7 | 2015 | 5 | |
| 8 | 2012 | 1 | |
| 9 | 2009 | 1 |
About David Yang
David Yang is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Automotive Engineering, Molecular Biology and Social Psychology, having authored 9 papers that have together received 553 indexed citations. Recurring topics across this work include Electrowetting and Microfluidic Technologies (2 papers), 3D Printing in Biomedical Research (2 papers), Additive Manufacturing and 3D Printing Technologies (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers), Vehicle emissions and performance (1 paper), Anatomy and Medical Technology (1 paper), Silicon and Solar Cell Technologies (1 paper) and Technical Engine Diagnostics and Monitoring (1 paper). The work is most often cited by research in Biomedical Engineering (395 citations), Pharmaceutical Science (34 citations), Automotive Engineering (50 citations), Electrical and Electronic Engineering (172 citations) and Surfaces, Coatings and Films (13 citations). David Yang has collaborated with scholars based in United States, Switzerland and Taiwan. Frequent co-authors include Stephen L. Pentoney, Jeffrey S. Fisher, Abraham P. Lee, Andrew Hatch, Robert Lin, Armando R. Tovar, James J. Norman, Rohiverth Guarecuco, Jennifer Lu and Kevin J. McHugh. Their work appears in journals such as Lab on a Chip, Journal of Public Transportation, Analytical Chemistry, Polymers and Science.
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.