Wang Ai
Impact in
- Water Science and Technology top 5%
- Minerals Flotation and Separation Techniques
- Hydrology and Watershed Management Studies
- Geochemistry and Petrology top 10%
Papers in
-
- Minerals Flotation and Separation Techniques 12
- Hydrology and Watershed Management Studies 7
-
- Hydrocarbon exploration and reservoir analysis 12
- Co-authors
- Yijun Cao (6 shared papers)Xiaokang Yan (5 shared papers)Dawen Yang (3 shared papers)Lihua Tang (2 shared papers)Lijun Wang (2 shared papers)Geoffrey M. Evans (6 shared papers)Subhasish Mitra (6 shared papers)Mohammad Mainul Hoque (4 shared papers)
- Journals
- Minerals Engineering (6 papers)Ecological Indicators (3 papers)Journal of Hydrology (3 papers)Energy Geoscience (3 papers)Water (2 papers)
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Wang Ai
59 papers receiving 612 citations
Peers
Comparison fields: 5 of 79
- Water Science and Technology 291
- Geochemistry and Petrology 42
- Ocean Engineering 105
- Environmental Chemistry 53
- Mechanical Engineering 187
Countries citing papers authored by Wang Ai
This map shows the geographic impact of Wang Ai'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 Wang Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wang Ai more than expected).
Fields of papers citing papers by Wang Ai
This network shows the impact of papers produced by Wang Ai. 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 Wang Ai. The network helps show where Wang Ai may publish in the future.
Co-authors
The 25 scholars most cited alongside Wang Ai, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 63 | |
| 2 | 2015 | 54 | |
| 3 | 2016 | 46 | |
| 4 | 2023 | 46 | |
| 5 | 2019 | 37 | |
| 6 | 2020 | 26 | |
| 7 | 2023 | 22 | |
| 8 | 2022 | 20 | |
| 9 | 2016 | 16 | |
| 10 | 2022 | 16 | |
| 11 | 2023 | 15 | |
| 12 | 2022 | 14 | |
| 13 | 2018 | 13 | |
| 14 | 2018 | 13 | |
| 15 | 2018 | 13 | |
| 16 | 2021 | 12 | |
| 17 | 2019 | 12 | |
| 18 | 2022 | 12 | |
| 19 | 2018 | 11 | |
| 20 | 2018 | 11 |
About Wang Ai
Wang Ai is a scholar working on Water Science and Technology, Mechanics of Materials, Biomedical Engineering, Mechanical Engineering and Electrical and Electronic Engineering, having authored 63 papers that have together received 618 indexed citations. Recurring topics across this work include Minerals Flotation and Separation Techniques (12 papers), Hydrocarbon exploration and reservoir analysis (12 papers), Fluid Dynamics and Mixing (11 papers), Hydrology and Watershed Management Studies (7 papers), Geological and Geophysical Studies (6 papers), Geological formations and processes (5 papers), Geological Studies and Exploration (4 papers) and Plant Water Relations and Carbon Dynamics (4 papers). The work is most often cited by research in Water Science and Technology (291 citations), Geochemistry and Petrology (42 citations), Ocean Engineering (105 citations), Environmental Chemistry (53 citations) and Mechanical Engineering (187 citations). Wang Ai has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Yijun Cao, Xiaokang Yan, Dawen Yang, Lihua Tang, Lijun Wang, Geoffrey M. Evans, Subhasish Mitra, Mohammad Mainul Hoque, Jiongtian Liu and Yongheng Wang. Their work appears in journals such as Minerals Engineering, Ecological Indicators, Journal of Hydrology, Energy Geoscience and Water.
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.