Heyun Fu
- Water Science and Technology top 1%
- Adsorption and biosorption for pollutant removal 11
- Pollution top 1%
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- Advanced Photocatalysis Techniques 10
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- Toxic Organic Pollutants Impact 9
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- Catalytic Processes in Materials Science 20
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- Environmental remediation with nanomaterials 13
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- Nanomaterials for catalytic reactions 13
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- Metal-Organic Frameworks: Synthesis and Applications 10
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- Atmospheric chemistry and aerosols 9
Heyun Fu
97 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 121
- Water Science and Technology 1.0k
- Pollution 751
- Renewable Energy, Sustainability and the Environment 839
- Health, Toxicology and Mutagenesis 628
- Industrial and Manufacturing Engineering 381
Countries citing papers authored by Heyun Fu
This map shows the geographic impact of Heyun 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 Heyun Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heyun Fu more than expected).
Fields of papers citing papers by Heyun Fu
This network shows the impact of papers produced by Heyun 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 Heyun Fu. The network helps show where Heyun Fu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Heyun 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 | 2025 | 2 | |
| 2 | 2024 | 8 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 12 | |
| 6 | 2022 | 11 | |
| 7 | 2021 | 6 | |
| 8 | 2021 | 7 | |
| 9 | 2020 | 28 | |
| 10 | 2020 | 12 | |
| 11 | 2020 | 29 | |
| 12 | 2020 | 132 | |
| 13 | 2020 | 11 | |
| 14 | 2020 | 1 | |
| 15 | 2019 | 25 | |
| 16 | 2019 | 56 | |
| 17 | 2019 | 29 | |
| 18 | 2017 | 5 | |
| 19 | 2016 | 90 | |
| 20 | 2011 | 17 |
About Heyun Fu
Heyun Fu is a scholar working on Health, Toxicology and Mutagenesis, Process Chemistry and Technology, Water Science and Technology, Inorganic Chemistry and Catalysis, having authored 104 papers that have together received 4.0k indexed citations. Recurring topics across this work include Catalytic Processes in Materials Science (20 papers), Environmental remediation with nanomaterials (13 papers), Nanomaterials for catalytic reactions (13 papers), Adsorption and biosorption for pollutant removal (11 papers), Metal-Organic Frameworks: Synthesis and Applications (10 papers), Advanced Photocatalysis Techniques (10 papers), Toxic Organic Pollutants Impact (9 papers) and Atmospheric chemistry and aerosols (9 papers). The work is most often cited by research in Water Science and Technology (1.0k citations), Pollution (751 citations), Renewable Energy, Sustainability and the Environment (839 citations), Health, Toxicology and Mutagenesis (628 citations) and Industrial and Manufacturing Engineering (381 citations). Heyun Fu has collaborated with scholars based in China, United States and Romania. Frequent co-authors include Xiaolei Qu, Dongqiang Zhu, Shourong Zheng, Zhaoyi Xu, Jingdong Mao, Pedro J. J. Alvarez, Huiting Liu, Chenhui Wei, Haiqin Wan and Qilin Li. Their work appears in journals such as Environmental Science & Technology, Chemosphere, The Science of The Total Environment, Environmental Pollution and ACS Applied Materials & Interfaces.
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.