Ning Dai
Impact in
-
- Water Treatment and Disinfection
- Water Science and Technology top 5%
- Membrane Separation Technologies
- Advanced oxidation water treatment
Papers in
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- Water Treatment and Disinfection 15
-
- Membrane Separation Technologies 8
- Advanced oxidation water treatment 4
- Co-authors
- William A. Mitch (8 shared papers)Amisha D. Shah (2 shared papers)Jiale Xu (6 shared papers)Haiqing Lin (7 shared papers)Kun Yu (2 shared papers)Michael J. Plewa (1 shared paper)Lanhua Hu (1 shared paper)Xiaoyi Chen (2 shared papers)
- Journals
- Environmental Science & Technology (12 papers)Environmental Science Water Research & Technology (4 papers)Water Research (3 papers)Journal of Membrane Science (2 papers)Chemical Engineering Journal (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Ning Dai
39 papers receiving 974 citations
Peers
Comparison fields: 5 of 80
- Health, Toxicology and Mutagenesis 377
- Water Science and Technology 313
- Process Chemistry and Technology 46
- Environmental Chemistry 115
- Pollution 125
Countries citing papers authored by Ning Dai
This map shows the geographic impact of Ning Dai'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 Ning Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Dai more than expected).
Fields of papers citing papers by Ning Dai
This network shows the impact of papers produced by Ning Dai. 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 Ning Dai. The network helps show where Ning Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Ning Dai, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 117 | |
| 2 | 2019 | 80 | |
| 3 | 2013 | 65 | |
| 4 | 2013 | 54 | |
| 5 | 2013 | 49 | |
| 6 | 2018 | 49 | |
| 7 | 2017 | 48 | |
| 8 | 2019 | 42 | |
| 9 | 2014 | 38 | |
| 10 | 2015 | 37 | |
| 11 | 2023 | 37 | |
| 12 | 2018 | 34 | |
| 13 | 2019 | 31 | |
| 14 | 2015 | 29 | |
| 15 | 2020 | 28 | |
| 16 | 2019 | 28 | |
| 17 | 2019 | 27 | |
| 18 | 2020 | 23 | |
| 19 | 2020 | 19 | |
| 20 | 2009 | 18 |
About Ning Dai
Ning Dai is a scholar working on Health, Toxicology and Mutagenesis, Water Science and Technology, Biomedical Engineering, Pollution and Industrial and Manufacturing Engineering, having authored 43 papers that have together received 983 indexed citations. Recurring topics across this work include Water Treatment and Disinfection (15 papers), Membrane Separation Technologies (8 papers), Carbon Dioxide Capture Technologies (5 papers), Industrial Gas Emission Control (4 papers), Atmospheric chemistry and aerosols (4 papers), Urban Stormwater Management Solutions (4 papers), Membrane-based Ion Separation Techniques (4 papers) and Advanced oxidation water treatment (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (377 citations), Water Science and Technology (313 citations), Process Chemistry and Technology (46 citations), Environmental Chemistry (115 citations) and Pollution (125 citations). Ning Dai has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include William A. Mitch, Amisha D. Shah, Jiale Xu, Haiqing Lin, Kun Yu, Michael J. Plewa, Lanhua Hu, Xiaoyi Chen, Lauren M. Sassoubre and Lei Su. Their work appears in journals such as Environmental Science & Technology, Environmental Science Water Research & Technology, Water Research, Journal of Membrane Science and Chemical Engineering Journal.
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.