Daoji Wu
- Water Science and Technology top 0.5%
- Biomedical Engineering top 5%
- Health, Toxicology and Mutagenesis top 2%
- Renewable Energy, Sustainability and the Environment top 5%
- Industrial and Manufacturing Engineering top 2%
- Co-authors
- Xiaoxiang ChengHeng LiangXuewu ZhuCongwei LuoFengxun TanGuibai LiBin LiuAn Ding
- Topics
- Membrane Separation Technologies (28 papers)Advanced oxidation water treatment (20 papers)Water Treatment and Disinfection (13 papers)
In The Last Decade
Daoji Wu
63 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 91
- Water Science and Technology 1.2k
- Biomedical Engineering 551
- Health, Toxicology and Mutagenesis 389
- Renewable Energy, Sustainability and the Environment 385
- Industrial and Manufacturing Engineering 289
Countries citing papers authored by Daoji Wu
This map shows the geographic impact of Daoji 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 Daoji Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daoji Wu more than expected).
Fields of papers citing papers by Daoji Wu
This network shows the impact of papers produced by Daoji 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 Daoji Wu. The network helps show where Daoji Wu may publish in the future.
Co-authorship network of co-authors of Daoji Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Daoji Wu. A scholar is included among the top collaborators of Daoji Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daoji Wu. Daoji Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 28 | |
| 6 | 5 | |
| 7 | 10 | |
| 8 | 13 | |
| 9 | 8 | |
| 10 | 73 | |
| 11 | 18 | |
| 12 | 23 | |
| 13 | 48 | |
| 14 | 97 | |
| 15 | 13 | |
| 16 | 3 | |
| 17 | Degradation of 2,4,6-trichloroanisole by UV/H2O2: kinetics and products. | 2 |
| 18 | Optimal Selection of Chemicals for Simultaneous Chemical Phosphorus Removal | 1 |
| 19 | Surface-flow Constructed Wetland for Improvement of Water Quality into Yuqing Lake Reservoir | 2 |
| 20 | The Education Reform of Water and Wastewater CAD | 0 |
About Daoji Wu
Daoji Wu is a scholar working on Water Science and Technology, Industrial and Manufacturing Engineering and Pollution, having authored 68 papers that have together received 1.8k indexed citations. Recurring topics across this work include Membrane Separation Technologies (28 papers), Advanced oxidation water treatment (20 papers) and Water Treatment and Disinfection (13 papers). The work is most often cited by research in Water Science and Technology (1.2k citations), Industrial and Manufacturing Engineering (289 citations) and Health, Toxicology and Mutagenesis (389 citations). Daoji Wu has collaborated with scholars based in China, Poland and Australia. Frequent co-authors include Xiaoxiang Cheng, Heng Liang, Xuewu Zhu, Congwei Luo, Fengxun Tan, Guibai Li, Bin Liu, An Ding, Zhendong Gan and Xiaobin Tang. Their work appears in journals such as The Science of The Total Environment, Water Research 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.