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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- Advanced biosensing and bioanalysis techniques 5
- DNA and Biological Computing 5
- Molecular Biology Techniques and Applications 1
- Ecology 2
- Environmental DNA in Biodiversity Studies 2
- Co-authors
- Robert N. Grass (8 shared papers)A. Xavier Kohll (5 shared papers)Wendelin J. Stark (5 shared papers)Reinhard Heckel (3 shared papers)Julian Koch (3 shared papers)Bichlien H. Nguyen (4 shared papers)Karin Strauß (4 shared papers)Philipp L. Antkowiak (2 shared papers)
- Journals
- ACS Applied Bio Materials (1 paper)Advanced Functional Materials (1 paper)Small Methods (1 paper)Nature Protocols (1 paper)Sensors and Actuators B Chemical (1 paper)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Weida D. Chen
7 papers receiving 319 citations
Peers
Comparison fields: 5 of 38
- Molecular Biology 274
- Mechanical Engineering 103
- Computational Theory and Mathematics 34
- Artificial Intelligence 42
- Ecology 31
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 20 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 | 114 | |
| 2 | 2019 | 84 | |
| 3 | 2020 | 47 | |
| 4 | 2021 | 46 | |
| 5 | 2018 | 16 | |
| 6 | 2013 | 7 | |
| 7 | 2022 | 6 | |
| 8 | 2019 | 0 |
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 8 papers that have together received 320 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (5 papers), DNA and Biological Computing (5 papers), Modular Robots and Swarm Intelligence (2 papers), Environmental DNA in Biodiversity Studies (2 papers), Nanoparticles: synthesis and applications (1 paper), Molecular Biology Techniques and Applications (1 paper), Biosensors and Analytical Detection (1 paper) and Cassava research and cyanide (1 paper). The work is most often cited by research in Molecular Biology (274 citations), Mechanical Engineering (103 citations), Computational Theory and Mathematics (34 citations), Artificial Intelligence (42 citations) and Ecology (31 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, Bichlien H. Nguyen, Karin Strauß, Philipp L. Antkowiak, Luís Ceze and Lee Organick. Their work appears in journals such as ACS Applied Bio Materials, Advanced Functional Materials, Small Methods, Nature Protocols 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.