May Wu
- Water Science and Technology top 2%
- Water-Energy-Food Nexus Studies 18
- Hydrology and Watershed Management Studies 9
- Agronomy and Crop Science top 2%
- Bioenergy crop production and management 8
- Environmental Engineering top 2%
- Environmental Impact and Sustainability 5
- Pollution top 5%
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- Biofuel production and bioconversion 16
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- Soil and Water Nutrient Dynamics 8
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- Forest Biomass Utilization and Management 5
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- Water resources management and optimization 4
- Journals
- Biofuels Bioproducts and Biorefining (10 papers)Environmental Research Letters (3 papers)Environmental Science & Technology (3 papers)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
May Wu
47 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 107
- Water Science and Technology 493
- Agronomy and Crop Science 353
- Environmental Engineering 425
- Pollution 242
- Energy Engineering and Power Technology 64
Countries citing papers authored by May Wu
This map shows the geographic impact of May 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 May Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites May Wu more than expected).
Fields of papers citing papers by May Wu
This network shows the impact of papers produced by May 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 May Wu. The network helps show where May Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside May 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2021 | 50 | |
| 5 | 2018 | 13 | |
| 6 | 2018 | 4 | |
| 7 | 2018 | 29 | |
| 8 | 2016 | 70 | |
| 9 | 2013 | 16 | |
| 10 | 2013 | 15 | |
| 11 | 2012 | 65 | |
| 12 | 2011 | 111 | |
| 13 | Consumptive Water Use in Bioethanol and Petroleum Gasoline Pathways | 2010 | 1 |
| 14 | 2009 | 115 | |
| 15 | Life-cycle energy use and greenhouse gas emission implications of Brazilian sugarcane ethanol simulated with the GREET model. | 2008 | 35 |
| 16 | 2008 | 78 | |
| 17 | 2006 | 96 | |
| 18 | 1999 | 12 | |
| 19 | 1996 | 10 | |
| 20 | 1995 | 15 |
About May Wu
May Wu is a scholar working on Water Science and Technology, Environmental Chemistry and Agronomy and Crop Science, having authored 49 papers that have together received 1.8k indexed citations. Recurring topics across this work include Water-Energy-Food Nexus Studies (18 papers), Biofuel production and bioconversion (16 papers), Hydrology and Watershed Management Studies (9 papers), Bioenergy crop production and management (8 papers), Soil and Water Nutrient Dynamics (8 papers), Environmental Impact and Sustainability (5 papers), Forest Biomass Utilization and Management (5 papers) and Water resources management and optimization (4 papers). The work is most often cited by research in Water Science and Technology (493 citations), Agronomy and Crop Science (353 citations) and Environmental Engineering (425 citations). May Wu has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Michael Wang, Hong Huo, Yi‐Wen Chiu, Yonas Demissie, Eugene Yan, Robert F. Hickey, Salil Arora, Michael Wang, Ye Wu and Xu Hui. Their work appears in journals such as Biofuels Bioproducts and Biorefining, Environmental Research Letters, Environmental Science & Technology, Current Sustainable/Renewable Energy Reports and Biomass and Bioenergy.
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.