Haipeng Wu
Impact in
- Water Science and Technology top 0.1%
- Adsorption and biosorption for pollutant removal
- Advanced oxidation water treatment
- Pollution top 0.2%
- Heavy metals in environment
- Pharmaceutical and Antibiotic Environmental Impacts
Papers in
- Pollution 28
- Heavy metals in environment 18
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- Adsorption and biosorption for pollutant removal 13
- Hydrology and Watershed Management Studies 7
Haipeng Wu
93 papers receiving 9.2k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Water Science and Technology 3.1k
- Pollution 2.6k
- Industrial and Manufacturing Engineering 1.0k
- Renewable Energy, Sustainability and the Environment 1.8k
- Health, Toxicology and Mutagenesis 1.1k
Countries citing papers authored by Haipeng Wu
This map shows the geographic impact of Haipeng Wu'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 Haipeng Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haipeng Wu more than expected).
Fields of papers citing papers by Haipeng Wu
This network shows the impact of papers produced by Haipeng Wu. 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 Haipeng Wu. The network helps show where Haipeng Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Haipeng Wu, 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 | 1 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 15 | |
| 6 | 2024 | 10 | |
| 7 | 2024 | 1 | |
| 8 | 2021 | 21 | |
| 9 | A review of metal organic framework (MOFs)-based materials for antibiotics removal via adsorption and photocatalysis Hit paper breakdown → | 2021 | 452 |
| 10 | 2021 | 28 | |
| 11 | 2021 | 80 | |
| 12 | 2020 | 67 | |
| 13 | 2018 | 37 | |
| 14 | 2018 | 359 | |
| 15 | 2017 | 38 | |
| 16 | 2016 | 39 | |
| 17 | 2016 | 292 | |
| 18 | 2014 | 77 | |
| 19 | 2014 | 21 | |
| 20 | 2014 | 90 |
About Haipeng Wu
Haipeng Wu is a scholar working on Pollution, Water Science and Technology, Industrial and Manufacturing Engineering, Ecology and Ecological Modeling, having authored 98 papers that have together received 9.3k indexed citations. Recurring topics across this work include Heavy metals in environment (18 papers), Adsorption and biosorption for pollutant removal (13 papers), Advanced Photocatalysis Techniques (10 papers), Land Use and Ecosystem Services (8 papers), Coastal wetland ecosystem dynamics (8 papers), Constructed Wetlands for Wastewater Treatment (7 papers), Microbial Community Ecology and Physiology (7 papers) and Hydrology and Watershed Management Studies (7 papers). The work is most often cited by research in Water Science and Technology (3.1k citations), Pollution (2.6k citations), Industrial and Manufacturing Engineering (1.0k citations), Renewable Energy, Sustainability and the Environment (1.8k citations) and Health, Toxicology and Mutagenesis (1.1k citations). Haipeng Wu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Guangming Zeng, Jie Liang, Shujing Ye, Juan Dai, Biao Song, Xiaofei Tan, Jia Wan, Jiangfang Yu, Piao Xu and Min Cheng. Their work appears in journals such as The Science of The Total Environment, Ecological Indicators, Environmental Science and Pollution Research, Chemosphere and Ecological 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.