Weida D. Chen
Impact in
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- DNA and Biological Computing
- Advanced biosensing and bioanalysis techniques
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- Modular Robots and Swarm Intelligence
Papers in
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- DNA and Biological Computing 5
- Advanced biosensing and bioanalysis techniques 4
- Ecology 2
- Environmental DNA in Biodiversity Studies 2
- Co-authors
- Robert N. Grass (7 shared papers)A. Xavier Kohll (4 shared papers)Wendelin J. Stark (5 shared papers)Reinhard Heckel (3 shared papers)Julian Koch (2 shared papers)Karin Strauß (4 shared papers)Bichlien H. Nguyen (4 shared papers)Luís Ceze (3 shared papers)
- Journals
- Sensors and Actuators B Chemical (1 paper)Chemical Communications (1 paper)Journal of Materials Chemistry A (1 paper)Small Methods (1 paper)Nature Protocols (1 paper)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Weida D. Chen
7 papers receiving 304 citations
Peers
Comparison fields: 5 of 38
- Molecular Biology 265
- Mechanical Engineering 103
- Computational Theory and Mathematics 33
- Artificial Intelligence 41
- Ecology 29
Countries citing papers authored by Weida D. Chen
This map shows the geographic impact of Weida D. 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 Weida D. Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weida D. Chen more than expected).
Fields of papers citing papers by Weida D. Chen
This network shows the impact of papers produced by Weida D. 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 Weida D. Chen. The network helps show where Weida D. Chen may publish in the future.
Co-authors
The 18 scholars most cited alongside Weida D. 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 | 2019 | 106 | |
| 2 | 2019 | 82 | |
| 3 | 2021 | 45 | |
| 4 | 2020 | 44 | |
| 5 | 2018 | 15 | |
| 6 | 2013 | 7 | |
| 7 | 2022 | 6 |
About Weida D. Chen
Weida D. Chen is a scholar working on Molecular Biology, Ecology, Mechanical Engineering, Computer Networks and Communications and Artificial Intelligence, having authored 7 papers that have together received 305 indexed citations. Recurring topics across this work include DNA and Biological Computing (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Modular Robots and Swarm Intelligence (2 papers), Environmental DNA in Biodiversity Studies (2 papers), Advanced Data Storage Technologies (1 paper), Gold and Silver Nanoparticles Synthesis and Applications (1 paper), Algorithms and Data Compression (1 paper) and Electrochemical Analysis and Applications (1 paper). The work is most often cited by research in Molecular Biology (265 citations), Mechanical Engineering (103 citations), Computational Theory and Mathematics (33 citations), Artificial Intelligence (41 citations) and Ecology (29 citations). Weida D. Chen has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Robert N. Grass, A. Xavier Kohll, Wendelin J. Stark, Reinhard Heckel, Julian Koch, Karin Strauß, Bichlien H. Nguyen, Luís Ceze, Philipp L. Antkowiak and Lee Organick. Their work appears in journals such as Sensors and Actuators B Chemical, Chemical Communications, Journal of Materials Chemistry A, Small Methods and Nature Protocols.
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.