Bing Fu
Impact in
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- Advanced Photocatalysis Techniques
- TiO2 Photocatalysis and Solar Cells
- Electrocatalysts for Energy Conversion
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- Neuroscience and Neural Engineering
Papers in
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- Advanced Nanomaterials in Catalysis 3
- Quantum Dots Synthesis And Properties 2
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- Advanced Memory and Neural Computing 4
- Ferroelectric and Negative Capacitance Devices 2
- Chalcogenide Semiconductor Thin Films 2
- Co-authors
- Zhijiao Wu (5 shared papers)Lingyu Piao (5 shared papers)Shuang Cao (4 shared papers)Jun Li (4 shared papers)Hongtao Cao (4 shared papers)Fei Zhuge (4 shared papers)Lingyan Liang (4 shared papers)Junhua Gao (4 shared papers)
- Journals
- Applied Physics Letters (2 papers)Nanoscale (2 papers)Frontiers in Plant Science (1 paper)Physics Letters A (1 paper)Journal of Computational Chemistry (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Bing Fu
16 papers receiving 522 citations
Peers
Comparison fields: 5 of 46
- Renewable Energy, Sustainability and the Environment 249
- Cellular and Molecular Neuroscience 103
- Materials Chemistry 251
- Electrical and Electronic Engineering 292
- Polymers and Plastics 65
Countries citing papers authored by Bing Fu
This map shows the geographic impact of Bing 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 Bing Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Fu more than expected).
Fields of papers citing papers by Bing Fu
This network shows the impact of papers produced by Bing 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 Bing Fu. The network helps show where Bing Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Bing 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 | 2019 | 179 | |
| 2 | 2016 | 92 | |
| 3 | 2015 | 65 | |
| 4 | 2020 | 48 | |
| 5 | 2014 | 21 | |
| 6 | 2015 | 20 | |
| 7 | 2019 | 16 | |
| 8 | 2013 | 15 | |
| 9 | 2018 | 12 | |
| 10 | 2016 | 11 | |
| 11 | 2021 | 10 | |
| 12 | 2019 | 10 | |
| 13 | 2017 | 9 | |
| 14 | 2014 | 7 | |
| 15 | 2014 | 6 | |
| 16 | 2021 | 5 |
About Bing Fu
Bing Fu is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, Cellular and Molecular Neuroscience and Electronic, Optical and Magnetic Materials, having authored 16 papers that have together received 526 indexed citations. Recurring topics across this work include Advanced Photocatalysis Techniques (5 papers), Advanced Memory and Neural Computing (4 papers), TiO2 Photocatalysis and Solar Cells (3 papers), Advanced Nanomaterials in Catalysis (3 papers), Ferroelectric and Negative Capacitance Devices (2 papers), Quantum Dots Synthesis And Properties (2 papers), Chalcogenide Semiconductor Thin Films (2 papers) and Nanowire Synthesis and Applications (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (249 citations), Cellular and Molecular Neuroscience (103 citations), Materials Chemistry (251 citations), Electrical and Electronic Engineering (292 citations) and Polymers and Plastics (65 citations). Bing Fu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Zhijiao Wu, Lingyu Piao, Shuang Cao, Jun Li, Hongtao Cao, Fei Zhuge, Lingyan Liang, Junhua Gao, Hongliang Zhang and Min Liu. Their work appears in journals such as Applied Physics Letters, Nanoscale, Frontiers in Plant Science, Physics Letters A and Journal of Computational Chemistry.
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.