Nina Fu
Impact in
- Materials Chemistry top 10%
- Luminescence and Fluorescent Materials
- Polymers and Plastics top 10%
- Conducting polymers and applications
Papers in
-
- Organic Electronics and Photovoltaics 10
- Perovskite Materials and Applications 6
- Organic Light-Emitting Diodes Research 4
-
- Luminescence and Fluorescent Materials 10
- Co-authors
- Wei Huang (19 shared papers)Baomin Zhao (18 shared papers)Lianhui Wang (10 shared papers)Dongliang Yang (3 shared papers)Hua‐Shan Zhang (6 shared papers)Xiaochen Dong (5 shared papers)Lixing Weng (3 shared papers)Tingting Li (1 shared paper)
- Journals
- Electrophoresis (3 papers)Dyes and Pigments (2 papers)Journal of Materials Chemistry B (2 papers)Chemical Communications (2 papers)The Analyst (2 papers)
- Partner nations
- ChinaUnited StatesQatar
In The Last Decade
Nina Fu
31 papers receiving 764 citations
Peers
Comparison fields: 5 of 85
- Materials Chemistry 368
- Polymers and Plastics 106
- Biomedical Engineering 244
- Spectroscopy 89
- Bioengineering 28
Countries citing papers authored by Nina Fu
This map shows the geographic impact of Nina 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 Nina Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nina Fu more than expected).
Fields of papers citing papers by Nina Fu
This network shows the impact of papers produced by Nina 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 Nina Fu. The network helps show where Nina Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Nina 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 118 | |
| 2 | 2019 | 68 | |
| 3 | 2015 | 58 | |
| 4 | 2017 | 51 | |
| 5 | 2013 | 47 | |
| 6 | 2018 | 47 | |
| 7 | 2022 | 42 | |
| 8 | 2003 | 34 | |
| 9 | 2016 | 32 | |
| 10 | 2017 | 32 | |
| 11 | 2015 | 26 | |
| 12 | 2010 | 25 | |
| 13 | 2018 | 20 | |
| 14 | 2005 | 18 | |
| 15 | 2015 | 16 | |
| 16 | 2007 | 13 | |
| 17 | 2016 | 13 | |
| 18 | 2018 | 12 | |
| 19 | 2004 | 11 | |
| 20 | 2019 | 11 |
About Nina Fu
Nina Fu is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Polymers and Plastics, Biomedical Engineering and Molecular Biology, having authored 32 papers that have together received 770 indexed citations. Recurring topics across this work include Luminescence and Fluorescent Materials (10 papers), Organic Electronics and Photovoltaics (10 papers), Conducting polymers and applications (9 papers), Nanoplatforms for cancer theranostics (6 papers), Perovskite Materials and Applications (6 papers), Advanced biosensing and bioanalysis techniques (4 papers), Organic Light-Emitting Diodes Research (4 papers) and Molecular Sensors and Ion Detection (3 papers). The work is most often cited by research in Materials Chemistry (368 citations), Polymers and Plastics (106 citations), Biomedical Engineering (244 citations), Spectroscopy (89 citations) and Bioengineering (28 citations). Nina Fu has collaborated with scholars based in China, United States and Qatar. Frequent co-authors include Wei Huang, Baomin Zhao, Lianhui Wang, Dongliang Yang, Hua‐Shan Zhang, Xiaochen Dong, Lixing Weng, Tingting Li, Youtian Tao and Shuli Liu. Their work appears in journals such as Electrophoresis, Dyes and Pigments, Journal of Materials Chemistry B, Chemical Communications and The Analyst.
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.