Hailing Wu
Impact in
- Water Science and Technology top 10%
- Adsorption and biosorption for pollutant removal
- Membrane Separation Technologies
Papers in
-
- High-Velocity Impact and Material Behavior 3
- Graphene research and applications 2
-
- Air Quality and Health Impacts 4
- Co-authors
- Yanjun Huang (1 shared paper)Yuefa Gong (1 shared paper)Hong Peng (1 shared paper)Huihai Wan (1 shared paper)Yuewen Deng (4 shared papers)Chuangye Yang (4 shared papers)Yongshan Liao (3 shared papers)Gui‐E Chen (4 shared papers)
- Journals
- Comparative Biochemistry and Physiology Part D Genomics and Proteomics (1 paper)Atmosphere (1 paper)Marine Environmental Research (1 paper)Urban Climate (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- ChinaUnited StatesIreland
In The Last Decade
Hailing Wu
25 papers receiving 349 citations
Peers
Comparison fields: 5 of 73
- Water Science and Technology 151
- Industrial and Manufacturing Engineering 35
- Organic Chemistry 88
- Biomaterials 35
- Electrochemistry 14
Countries citing papers authored by Hailing Wu
This map shows the geographic impact of Hailing 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 Hailing Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hailing Wu more than expected).
Fields of papers citing papers by Hailing Wu
This network shows the impact of papers produced by Hailing 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 Hailing Wu. The network helps show where Hailing Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hailing 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
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 151 | |
| 2 | 2019 | 41 | |
| 3 | 2015 | 38 | |
| 4 | 2023 | 19 | |
| 5 | 2024 | 17 | |
| 6 | 2022 | 17 | |
| 7 | 2023 | 12 | |
| 8 | 2023 | 10 | |
| 9 | 2018 | 10 | |
| 10 | 2021 | 7 | |
| 11 | 2024 | 4 | |
| 12 | 2018 | 4 | |
| 13 | 2008 | 4 | |
| 14 | 2024 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2022 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2021 | 2 | |
| 20 | 2022 | 2 |
About Hailing Wu
Hailing Wu is a scholar working on Materials Chemistry, Health, Toxicology and Mutagenesis, Atmospheric Science, Water Science and Technology and Electrical and Electronic Engineering, having authored 26 papers that have together received 356 indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (4 papers), Air Quality and Health Impacts (4 papers), Membrane Separation Technologies (3 papers), Electromagnetic Launch and Propulsion Technology (3 papers), Structural Response to Dynamic Loads (3 papers), High-Velocity Impact and Material Behavior (3 papers), Nanomaterials for catalytic reactions (2 papers) and Graphene research and applications (2 papers). The work is most often cited by research in Water Science and Technology (151 citations), Industrial and Manufacturing Engineering (35 citations), Organic Chemistry (88 citations), Biomaterials (35 citations) and Electrochemistry (14 citations). Hailing Wu has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Yanjun Huang, Yuefa Gong, Hong Peng, Huihai Wan, Yuewen Deng, Chuangye Yang, Yongshan Liao, Gui‐E Chen, Jie Yu and Li Wang. Their work appears in journals such as Comparative Biochemistry and Physiology Part D Genomics and Proteomics, Atmosphere, Marine Environmental Research, Urban Climate and Frontiers in Immunology.
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.