Liya Fu
Impact in
- Water Science and Technology top 5%
- Advanced oxidation water treatment
- Membrane Separation Technologies
- Pollution top 5%
- Wastewater Treatment and Nitrogen Removal
- Pharmaceutical and Antibiotic Environmental Impacts
Papers in
-
- Advanced oxidation water treatment 20
- Pollution 16
- Wastewater Treatment and Nitrogen Removal 6
- Co-authors
- Changyong Wu (32 shared papers)Yuexi Zhou (10 shared papers)Jiane Zuo (6 shared papers)Chunli Wan (8 shared papers)Jiwei Hu (8 shared papers)Xionghui Wei (3 shared papers)Hongbo Xi (5 shared papers)Yu Yin (7 shared papers)
In The Last Decade
Liya Fu
39 papers receiving 743 citations
Peers
Comparison fields: 5 of 74
- Water Science and Technology 347
- Pollution 241
- Industrial and Manufacturing Engineering 172
- Renewable Energy, Sustainability and the Environment 167
- Health, Toxicology and Mutagenesis 133
Countries citing papers authored by Liya Fu
This map shows the geographic impact of Liya 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 Liya Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liya Fu more than expected).
Fields of papers citing papers by Liya Fu
This network shows the impact of papers produced by Liya 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 Liya Fu. The network helps show where Liya Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Liya 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 86 | |
| 2 | 2018 | 53 | |
| 3 | 2022 | 53 | |
| 4 | 2016 | 52 | |
| 5 | 2021 | 49 | |
| 6 | 2015 | 42 | |
| 7 | 2021 | 41 | |
| 8 | 2022 | 40 | |
| 9 | 2023 | 38 | |
| 10 | 2022 | 34 | |
| 11 | 2017 | 32 | |
| 12 | 2021 | 28 | |
| 13 | 2021 | 26 | |
| 14 | 2024 | 24 | |
| 15 | 2022 | 21 | |
| 16 | 2023 | 17 | |
| 17 | 2021 | 11 | |
| 18 | 2020 | 11 | |
| 19 | 2019 | 10 | |
| 20 | 2023 | 9 |
About Liya Fu
Liya Fu is a scholar working on Water Science and Technology, Pollution, Health, Toxicology and Mutagenesis, Industrial and Manufacturing Engineering and Renewable Energy, Sustainability and the Environment, having authored 42 papers that have together received 756 indexed citations. Recurring topics across this work include Advanced oxidation water treatment (20 papers), Water Treatment and Disinfection (10 papers), Advanced Photocatalysis Techniques (9 papers), Water Quality Monitoring and Analysis (6 papers), Environmental remediation with nanomaterials (6 papers), Wastewater Treatment and Nitrogen Removal (6 papers), Catalytic Processes in Materials Science (5 papers) and Nanomaterials for catalytic reactions (4 papers). The work is most often cited by research in Water Science and Technology (347 citations), Pollution (241 citations), Industrial and Manufacturing Engineering (172 citations), Renewable Energy, Sustainability and the Environment (167 citations) and Health, Toxicology and Mutagenesis (133 citations). Liya Fu has collaborated with scholars based in China and Japan. Frequent co-authors include Changyong Wu, Yuexi Zhou, Jiane Zuo, Chunli Wan, Jiwei Hu, Xionghui Wei, Hongbo Xi, Yu Yin, Huiqi Li and Min Li. Their work appears in journals such as Chemosphere, Environmental Science and Pollution Research, Separation and Purification Technology, Journal of Environmental Management and Journal of Hazardous 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.