Fujin Ai
Impact in
- Materials Chemistry top 5%
- Luminescence Properties of Advanced Materials
- Luminescence and Fluorescent Materials
- Advanced Nanomaterials in Catalysis
- Biomedical Engineering top 5%
- Nanoplatforms for cancer theranostics
Papers in
-
- Nanoplatforms for cancer theranostics 18
-
- Luminescence Properties of Advanced Materials 7
- Advanced Nanomaterials in Catalysis 7
- Luminescence and Fluorescent Materials 4
- Co-authors
- Guangyu Zhu (13 shared papers)Feng Wang (8 shared papers)Tianying Sun (5 shared papers)Xiaoman Zhang (4 shared papers)Hailing Ma (3 shared papers)Xian Chen (3 shared papers)Junqing Hu (12 shared papers)Wanxiang Zhao (1 shared paper)
- Journals
- Frontiers in Chemistry (5 papers)Inorganic Chemistry (3 papers)Advanced Healthcare Materials (2 papers)Advanced Functional Materials (2 papers)Advanced Materials (1 paper)
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Fujin Ai
32 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 108
- Materials Chemistry 788
- Biomedical Engineering 696
- Biomaterials 152
- Organic Chemistry 317
- Molecular Medicine 48
Countries citing papers authored by Fujin Ai
This map shows the geographic impact of Fujin Ai'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 Fujin Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fujin Ai more than expected).
Fields of papers citing papers by Fujin Ai
This network shows the impact of papers produced by Fujin Ai. 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 Fujin Ai. The network helps show where Fujin Ai may publish in the future.
Co-authors
The 25 scholars most cited alongside Fujin Ai, 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 | 2014 | 264 | |
| 2 | 2015 | 158 | |
| 3 | 2021 | 136 | |
| 4 | 2017 | 118 | |
| 5 | 2020 | 109 | |
| 6 | 2021 | 92 | |
| 7 | 2023 | 76 | |
| 8 | 2016 | 64 | |
| 9 | 2022 | 62 | |
| 10 | 2016 | 58 | |
| 11 | 2015 | 51 | |
| 12 | 2017 | 49 | |
| 13 | 2016 | 37 | |
| 14 | 2020 | 37 | |
| 15 | 2021 | 37 | |
| 16 | 2022 | 30 | |
| 17 | 2018 | 28 | |
| 18 | 2023 | 27 | |
| 19 | 2021 | 24 | |
| 20 | 2022 | 22 |
About Fujin Ai
Fujin Ai is a scholar working on Biomedical Engineering, Materials Chemistry, Molecular Biology, Biomaterials and Electrical and Electronic Engineering, having authored 32 papers that have together received 1.6k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (18 papers), Luminescence Properties of Advanced Materials (7 papers), Advanced Nanomaterials in Catalysis (7 papers), Nanoparticle-Based Drug Delivery (4 papers), Extracellular vesicles in disease (4 papers), Luminescence and Fluorescent Materials (4 papers), Gas Sensing Nanomaterials and Sensors (4 papers) and Advanced Photocatalysis Techniques (3 papers). The work is most often cited by research in Materials Chemistry (788 citations), Biomedical Engineering (696 citations), Biomaterials (152 citations), Organic Chemistry (317 citations) and Molecular Medicine (48 citations). Fujin Ai has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Guangyu Zhu, Feng Wang, Tianying Sun, Xiaoman Zhang, Hailing Ma, Xian Chen, Junqing Hu, Wanxiang Zhao, Zhenyang Lin and Zheng Wang. Their work appears in journals such as Frontiers in Chemistry, Inorganic Chemistry, Advanced Healthcare Materials, Advanced Functional Materials and Advanced Materials.
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.