Wensi Wang
Impact in
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- Phosphorus and nutrient management
- Water Science and Technology top 5%
- Adsorption and biosorption for pollutant removal
- Advanced oxidation water treatment
Papers in
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- Energy Harvesting in Wireless Networks 10
- Wireless Power Transfer Systems 4
- Advanced Memory and Neural Computing 2
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- Innovative Energy Harvesting Technologies 8
- Co-authors
- Yingjie Dai (2 shared papers)Dianyu Yu (1 shared paper)Lu Lu (1 shared paper)Lilong Yan (1 shared paper)Brendan O’Flynn (8 shared papers)Cian O’Mathúna (8 shared papers)Mike Hayes (8 shared papers)Ningning Wang (6 shared papers)
In The Last Decade
Wensi Wang
28 papers receiving 930 citations
Peers
Comparison fields: 5 of 114
- Industrial and Manufacturing Engineering 154
- Water Science and Technology 233
- Pollution 123
- Renewable Energy, Sustainability and the Environment 145
- Materials Chemistry 196
Countries citing papers authored by Wensi Wang
This map shows the geographic impact of Wensi Wang'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 Wensi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wensi Wang more than expected).
Fields of papers citing papers by Wensi Wang
This network shows the impact of papers produced by Wensi Wang. 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 Wensi Wang. The network helps show where Wensi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wensi Wang, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 255 | |
| 2 | 2020 | 241 | |
| 3 | 2013 | 94 | |
| 4 | 2021 | 67 | |
| 5 | 2022 | 56 | |
| 6 | 2015 | 36 | |
| 7 | 2010 | 33 | |
| 8 | 2022 | 23 | |
| 9 | 2022 | 17 | |
| 10 | 2013 | 14 | |
| 11 | 2011 | 14 | |
| 12 | 2021 | 13 | |
| 13 | 2017 | 11 | |
| 14 | 2019 | 10 | |
| 15 | 2010 | 9 | |
| 16 | 2013 | 9 | |
| 17 | 2012 | 8 | |
| 18 | 2010 | 8 | |
| 19 | 2018 | 7 | |
| 20 | 2013 | 6 |
About Wensi Wang
Wensi Wang is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering, Biomedical Engineering, Computer Networks and Communications and Cellular and Molecular Neuroscience, having authored 29 papers that have together received 950 indexed citations. Recurring topics across this work include Energy Harvesting in Wireless Networks (10 papers), Innovative Energy Harvesting Technologies (8 papers), Wireless Power Transfer Systems (4 papers), Neuroscience and Neural Engineering (3 papers), Energy Efficient Wireless Sensor Networks (3 papers), Advanced Battery Technologies Research (2 papers), Advanced Memory and Neural Computing (2 papers) and Wireless Body Area Networks (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (154 citations), Water Science and Technology (233 citations), Pollution (123 citations), Renewable Energy, Sustainability and the Environment (145 citations) and Materials Chemistry (196 citations). Wensi Wang has collaborated with scholars based in China, Ireland and Singapore. Frequent co-authors include Yingjie Dai, Dianyu Yu, Lu Lu, Lilong Yan, Brendan O’Flynn, Cian O’Mathúna, Mike Hayes, Ningning Wang, Lu Lü and Zhihua Liu. Their work appears in journals such as Transportation Research Part D Transport and Environment, Journal of Intelligent Material Systems and Structures, Applied Sciences, International Journal of Circuit Theory and Applications and Buildings.
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.