Dafeng Chen
Impact in
- Biomedical Engineering top 5%
- Biosensors and Analytical Detection
- Microfluidic and Capillary Electrophoresis Applications
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- Fungal Infections and Studies
Papers in
-
- Biosensors and Analytical Detection 8
- Microfluidic and Capillary Electrophoresis Applications 6
- Co-authors
- Haim H. Bau (10 shared papers)Xianbo Qiu (9 shared papers)Changchun Liu (7 shared papers)Michael G. Mauk (8 shared papers)William R. Abrams (3 shared papers)Paul L. A. M. Corstjens (3 shared papers)Daniel Malamud (3 shared papers)Serge Y. Ongagna-Yhombi (3 shared papers)
- Journals
- Biomedical Microdevices (3 papers)Lab on a Chip (3 papers)BMC Infectious Diseases (1 paper)International Journal of Approximate Reasoning (1 paper)Sensors and Actuators B Chemical (1 paper)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Dafeng Chen
16 papers receiving 740 citations
Peers
Comparison fields: 5 of 48
- Biomedical Engineering 470
- Epidemiology 107
- Infectious Diseases 59
- Neurology 29
- Computational Theory and Mathematics 26
Countries citing papers authored by Dafeng Chen
This map shows the geographic impact of Dafeng Chen'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 Dafeng Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dafeng Chen more than expected).
Fields of papers citing papers by Dafeng Chen
This network shows the impact of papers produced by Dafeng Chen. 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 Dafeng Chen. The network helps show where Dafeng Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Dafeng Chen, 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 | 2010 | 188 | |
| 2 | 1997 | 133 | |
| 3 | 2008 | 88 | |
| 4 | 2009 | 81 | |
| 5 | 2010 | 50 | |
| 6 | 2011 | 48 | |
| 7 | 2010 | 46 | |
| 8 | 2018 | 36 | |
| 9 | 2020 | 30 | |
| 10 | 2011 | 29 | |
| 11 | 2014 | 24 | |
| 12 | 2022 | 16 | |
| 13 | 2009 | 7 | |
| 14 | 2017 | 3 | |
| 15 | 2024 | 2 | |
| 16 | A PCR REACTOR WITH AN INTEGRATED ALUMINA ISOLATION MEMBRANE | 2010 | 1 |
| 17 | 2006 | 0 | |
| 18 | 2012 | 0 |
About Dafeng Chen
Dafeng Chen is a scholar working on Biomedical Engineering, Neurology, Computational Theory and Mathematics, Electronic, Optical and Magnetic Materials and Infectious Diseases, having authored 18 papers that have together received 782 indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (8 papers), Microfluidic and Capillary Electrophoresis Applications (6 papers), Rough Sets and Fuzzy Logic (1 paper), Advanced Optical Network Technologies (1 paper), Antifungal resistance and susceptibility (1 paper), Genomics and Chromatin Dynamics (1 paper), Advanced Fiber Optic Sensors (1 paper) and Fungal Infections and Studies (1 paper). The work is most often cited by research in Biomedical Engineering (470 citations), Epidemiology (107 citations), Infectious Diseases (59 citations), Neurology (29 citations) and Computational Theory and Mathematics (26 citations). Dafeng Chen has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Haim H. Bau, Xianbo Qiu, Changchun Liu, Michael G. Mauk, William R. Abrams, Paul L. A. M. Corstjens, Daniel Malamud, Serge Y. Ongagna-Yhombi, Ji-Tae Kim and Sudhir Ramprasad. Their work appears in journals such as Biomedical Microdevices, Lab on a Chip, BMC Infectious Diseases, International Journal of Approximate Reasoning and Sensors and Actuators B Chemical.
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.