Phillip Guan
Impact in
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- Gold and Silver Nanoparticles Synthesis and Applications
- Biomedical Engineering top 10%
- Plasmonic and Surface Plasmon Research
- Biosensors and Analytical Detection
Papers in
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- Visual perception and processing mechanisms 8
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- Advanced Optical Imaging Technologies 4
- Co-authors
- Qiuming Yu (2 shared papers)Paul M. Wallace (1 shared paper)Dong Qin (1 shared paper)Martin S. Banks (3 shared papers)Mingwei Chen (1 shared paper)Xingyou Lang (1 shared paper)Takeshi Fujita (1 shared paper)Jiřı́ Homola (1 shared paper)
- Journals
- The Journal of Physical Chemistry C (1 paper)Applied Physics Letters (1 paper)ACM Transactions on Graphics (1 paper)Nano Letters (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- United StatesNetherlandsJapan
In The Last Decade
Phillip Guan
11 papers receiving 535 citations
Peers
Comparison fields: 5 of 49
- Electronic, Optical and Magnetic Materials 366
- Biomedical Engineering 300
- Materials Chemistry 194
- Media Technology 34
- Surfaces, Coatings and Films 27
Countries citing papers authored by Phillip Guan
This map shows the geographic impact of Phillip Guan'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 Phillip Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phillip Guan more than expected).
Fields of papers citing papers by Phillip Guan
This network shows the impact of papers produced by Phillip Guan. 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 Phillip Guan. The network helps show where Phillip Guan may publish in the future.
Co-authors
The 24 scholars most cited alongside Phillip Guan, 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 | 2008 | 337 | |
| 2 | 2009 | 80 | |
| 3 | 2014 | 50 | |
| 4 | 2011 | 36 | |
| 5 | 2016 | 18 | |
| 6 | 2022 | 11 | |
| 7 | 2023 | 6 | |
| 8 | 2013 | 4 | |
| 9 | 2025 | 2 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 1 |
About Phillip Guan
Phillip Guan is a scholar working on Cognitive Neuroscience, Media Technology, Human-Computer Interaction, Electronic, Optical and Magnetic Materials and Computer Vision and Pattern Recognition, having authored 11 papers that have together received 546 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (8 papers), Advanced Optical Imaging Technologies (4 papers), Virtual Reality Applications and Impacts (3 papers), Gold and Silver Nanoparticles Synthesis and Applications (3 papers), Advanced Vision and Imaging (2 papers), Plasmonic and Surface Plasmon Research (2 papers), Nanoporous metals and alloys (1 paper) and Color perception and design (1 paper). The work is most often cited by research in Electronic, Optical and Magnetic Materials (366 citations), Biomedical Engineering (300 citations), Materials Chemistry (194 citations), Media Technology (34 citations) and Surfaces, Coatings and Films (27 citations). Phillip Guan has collaborated with scholars based in United States, Netherlands and Japan. Frequent co-authors include Qiuming Yu, Paul M. Wallace, Dong Qin, Martin S. Banks, Mingwei Chen, Xingyou Lang, Takeshi Fujita, Jiřı́ Homola, Heng Gong and Pavel Kvasnička. Their work appears in journals such as The Journal of Physical Chemistry C, Applied Physics Letters, ACM Transactions on Graphics, Nano Letters and Journal of Neuroscience.
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.