Sijia Fu
Impact in
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- Advanced Photocatalysis Techniques
- CO2 Reduction Techniques and Catalysts
- Electrocatalysts for Energy Conversion
Papers in
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- 3D Printing in Biomedical Research 3
- Advanced Sensor and Energy Harvesting Materials 2
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- Advanced Photocatalysis Techniques 3
- CO2 Reduction Techniques and Catalysts 2
- Electrocatalysts for Energy Conversion 2
- Co-authors
- Jingrun Ran (3 shared papers)Shi‐Zhang Qiao (2 shared papers)Yan Jiao (3 shared papers)Xin Liu (2 shared papers)Shuangming Chen (1 shared paper)Jieqiong Shan (1 shared paper)Julie M. Cairney (1 shared paper)Liqiang Jing (1 shared paper)
- Journals
- Nature Communications (1 paper)Catalysis Today (1 paper)The journal of cotton science/Journal of cotton science (1 paper)Applied Surface Science (1 paper)Journal of Tissue Engineering (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Sijia Fu
12 papers receiving 319 citations
Peers
Comparison fields: 5 of 60
- Renewable Energy, Sustainability and the Environment 210
- Catalysis 38
- Materials Chemistry 157
- Process Chemistry and Technology 8
- Biomaterials 21
Countries citing papers authored by Sijia Fu
This map shows the geographic impact of Sijia 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 Sijia Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sijia Fu more than expected).
Fields of papers citing papers by Sijia Fu
This network shows the impact of papers produced by Sijia 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 Sijia Fu. The network helps show where Sijia Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Sijia 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 | 2022 | 162 | |
| 2 | 2020 | 53 | |
| 3 | 2022 | 36 | |
| 4 | 2023 | 23 | |
| 5 | 2021 | 13 | |
| 6 | 2023 | 9 | |
| 7 | 2021 | 7 | |
| 8 | 2024 | 5 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 5 | |
| 11 | 2023 | 4 | |
| 12 | 2024 | 1 | |
| 13 | 2023 | 0 | |
| 14 | 2024 | 0 |
About Sijia Fu
Sijia Fu is a scholar working on Biomedical Engineering, Renewable Energy, Sustainability and the Environment, Biomaterials, Global and Planetary Change and Materials Chemistry, having authored 14 papers that have together received 323 indexed citations. Recurring topics across this work include Advanced Photocatalysis Techniques (3 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), 3D Printing in Biomedical Research (3 papers), Advanced Sensor and Energy Harvesting Materials (2 papers), CO2 Reduction Techniques and Catalysts (2 papers), Electrocatalysts for Energy Conversion (2 papers), Silk-based biomaterials and applications (1 paper) and Respiratory Support and Mechanisms (1 paper). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (210 citations), Catalysis (38 citations), Materials Chemistry (157 citations), Process Chemistry and Technology (8 citations) and Biomaterials (21 citations). Sijia Fu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Jingrun Ran, Shi‐Zhang Qiao, Yan Jiao, Xin Liu, Shuangming Chen, Jieqiong Shan, Julie M. Cairney, Liqiang Jing, Bingquan Xia and Mietek Jaroniec. Their work appears in journals such as Nature Communications, Catalysis Today, The journal of cotton science/Journal of cotton science, Applied Surface Science and Journal of Tissue Engineering.
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.