Beibei Fu
Impact in
- Polymers and Plastics top 10%
- Conducting polymers and applications
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- Organic Electronics and Photovoltaics
- Perovskite Materials and Applications
- Advanced Memory and Neural Computing
Papers in
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- Organic Electronics and Photovoltaics 6
- Perovskite Materials and Applications 2
- Gas Sensing Nanomaterials and Sensors 2
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- Luminescence and Fluorescent Materials 2
- ZnO doping and properties 1
- Co-authors
- Xiaotao Zhang (10 shared papers)Wenping Hu (9 shared papers)Rongjin Li (7 shared papers)Cong Wang (4 shared papers)Huanli Dong (3 shared papers)Shengbin Lei (2 shared papers)Hongxiang Li (2 shared papers)Yonggang Zhen (2 shared papers)
In The Last Decade
Beibei Fu
12 papers receiving 509 citations
Beibei Fu's Hit Papers
Peers
Comparison fields: 5 of 61
- Polymers and Plastics 133
- Electrical and Electronic Engineering 342
- Materials Chemistry 196
- Modeling and Simulation 13
- Bioengineering 16
Countries citing papers authored by Beibei Fu
This map shows the geographic impact of Beibei 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 Beibei Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beibei Fu more than expected).
Fields of papers citing papers by Beibei Fu
This network shows the impact of papers produced by Beibei 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 Beibei Fu. The network helps show where Beibei Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Beibei 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
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 177 | |
| 2 | A gradient-enhanced physics-informed neural networks method for the wave equation Hit paper breakdown → | 2024 | 82 |
| 3 | 2020 | 61 | |
| 4 | 2019 | 59 | |
| 5 | 2022 | 56 | |
| 6 | 2017 | 47 | |
| 7 | 2017 | 11 | |
| 8 | 2022 | 11 | |
| 9 | 2018 | 6 | |
| 10 | 2022 | 3 | |
| 11 | 2019 | 2 | |
| 12 | 2020 | 2 | |
| 13 | 2012 | 1 | |
| 14 | 2025 | 0 |
About Beibei Fu
Beibei Fu is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Polymers and Plastics, Biomedical Engineering and Organic Chemistry, having authored 14 papers that have together received 518 indexed citations. Recurring topics across this work include Organic Electronics and Photovoltaics (6 papers), Conducting polymers and applications (4 papers), Advanced Sensor and Energy Harvesting Materials (4 papers), Luminescence and Fluorescent Materials (2 papers), Perovskite Materials and Applications (2 papers), Gas Sensing Nanomaterials and Sensors (2 papers), ZnO doping and properties (1 paper) and Visual perception and processing mechanisms (1 paper). The work is most often cited by research in Polymers and Plastics (133 citations), Electrical and Electronic Engineering (342 citations), Materials Chemistry (196 citations), Modeling and Simulation (13 citations) and Bioengineering (16 citations). Beibei Fu has collaborated with scholars based in China and Singapore. Frequent co-authors include Xiaotao Zhang, Wenping Hu, Rongjin Li, Cong Wang, Huanli Dong, Shengbin Lei, Hongxiang Li, Yonggang Zhen, Fangxu Yang and Xiaochen Ren. Their work appears in journals such as Advanced Materials, Science China Materials, Chemical Communications, Engineering Analysis with Boundary Elements and Advanced Electronic 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.