Daniel Fu
Impact in
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- Advanced biosensing and bioanalysis techniques
- DNA and Biological Computing
- DNA and Nucleic Acid Chemistry
- RNA Interference and Gene Delivery
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- Biosensors and Analytical Detection
Papers in
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- AI-based Problem Solving and Planning 5
- Intelligent Tutoring Systems and Adaptive Learning 3
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- Advanced biosensing and bioanalysis techniques 7
- DNA and Biological Computing 4
- RNA Interference and Gene Delivery 3
- DNA and Nucleic Acid Chemistry 3
- Co-authors
- John H. Reif (8 shared papers)Shalin Shah (4 shared papers)Tianqi Song (3 shared papers)Ming Yang (2 shared papers)Hieu Bui (2 shared papers)Abeer Eshra (2 shared papers)Reem Mokhtar (2 shared papers)Sudhanshu Garg (1 shared paper)
- Journals
- Applied Cognitive Psychology (2 papers)IEEE Intelligent Systems (1 paper)Nature Nanotechnology (1 paper)Nanoscale (1 paper)Journal of the American Chemical Society (1 paper)
- Partner nations
- United StatesChinaEgypt
In The Last Decade
Daniel Fu
25 papers receiving 384 citations
Peers
Comparison fields: 5 of 63
- Molecular Biology 280
- Biomedical Engineering 96
- Artificial Intelligence 69
- Software 6
- Ecology 30
Countries citing papers authored by Daniel Fu
This map shows the geographic impact of Daniel Fu'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 Daniel Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Fu more than expected).
Fields of papers citing papers by Daniel Fu
This network shows the impact of papers produced by Daniel Fu. 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 Daniel Fu. The network helps show where Daniel Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 193 | |
| 2 | 2019 | 52 | |
| 3 | 2002 | 35 | |
| 4 | 2022 | 19 | |
| 5 | Intelligent Simulation-Based Tutor for Flight Training | 2004 | 13 |
| 6 | 2023 | 12 | |
| 7 | 2018 | 11 | |
| 8 | A Visual Environment for Rapid Behavior Definition | 2003 | 9 |
| 9 | 2021 | 7 | |
| 10 | 1996 | 7 | |
| 11 | 2002 | 7 | |
| 12 | 2020 | 6 | |
| 13 | 2004 | 6 | |
| 14 | 2022 | 5 | |
| 15 | Navigation for everyday life | 1996 | 4 |
| 16 | 2005 | 3 | |
| 17 | 2025 | 3 | |
| 18 | 1995 | 3 | |
| 19 | Applying a Generic Intelligent Tutoring System (ITS) Authoring Tool to Specific Military Domains | 2006 | 3 |
| 20 | 2003 | 2 |
About Daniel Fu
Daniel Fu is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Biomedical Engineering and Management Science and Operations Research, having authored 27 papers that have together received 407 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (7 papers), AI-based Problem Solving and Planning (5 papers), Data Visualization and Analytics (4 papers), DNA and Biological Computing (4 papers), RNA Interference and Gene Delivery (3 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers), DNA and Nucleic Acid Chemistry (3 papers) and Simulation Techniques and Applications (3 papers). The work is most often cited by research in Molecular Biology (280 citations), Biomedical Engineering (96 citations), Artificial Intelligence (69 citations), Software (6 citations) and Ecology (30 citations). Daniel Fu has collaborated with scholars based in United States, China and Egypt. Frequent co-authors include John H. Reif, Shalin Shah, Tianqi Song, Ming Yang, Hieu Bui, Abeer Eshra, Reem Mokhtar, Sudhanshu Garg, Michael J. Swain and Kristian J. Hammond. Their work appears in journals such as Applied Cognitive Psychology, IEEE Intelligent Systems, Nature Nanotechnology, Nanoscale and Journal of the American Chemical Society.
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.