May Wu

49 papers receiving 1.9k citations

Peers

May Wu
Comparison fields: 5 of 110
  • Agronomy and Crop Science 389
  • Water Science and Technology 529
  • Environmental Engineering 462
  • Energy Engineering and Power Technology 72
  • Pollution 262
Replace Joaquim E. A. Seabra with:
Joaquim E. A. Seabra Brazil
Åke Nordberg Sweden
Lovisa Björnsson Sweden
Jeongwoo Han United States
Farzad Taheripour United States
Edward Smeets Netherlands
Arnaldo Walter Brazil
Lixin Zhao China
Floor van der Hilst Netherlands
Nicholas E. Korres United States
May Wu relative to Joaquim E. A. Seabra Brazil Joaquim E. A. Seabra's profile →
Citations per field
00.5×1.5×2.3×
Joaquim E. A. Seabra · 1×
Citations per year

Countries citing papers authored by May Wu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with May Wu Line = papers co-authored together May Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007363
2 2009130
3 2011130
4 2006108
5 200999
6 201785
7 200883
8 201679
9 201271
10 201368
11 201260
12 201259
13 202154
14 201250
15 199750
16 201548
17 201441
18
Life-cycle energy use and greenhouse gas emission implications of Brazilian sugarcane ethanol simulated with the GREET model.
200840
19 201440
20 202132

About May Wu

May Wu is a scholar working on Water Science and Technology, Biomedical Engineering, Environmental Chemistry, Agronomy and Crop Science and Environmental Engineering, having authored 50 papers that have together received 2.0k 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 (10 papers), Soil and Water Nutrient Dynamics (9 papers), Bioenergy crop production and management (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 Agronomy and Crop Science (389 citations), Water Science and Technology (529 citations), Environmental Engineering (462 citations), Energy Engineering and Power Technology (72 citations) and Pollution (262 citations). May Wu has collaborated with scholars based in United States, China and India. Frequent co-authors include Michael Wang, Hong Huo, Yi‐Wen Chiu, Yonas Demissie, Eugene Yan, Robert F. Hickey, Salil Arora, Ye Wu, Michael Wang and Marianne Mintz. Their work appears in journals such as Biofuels Bioproducts and Biorefining, Environmental Science & Technology, Environmental Research Letters, 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.

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