Wen‐Ying Wu

793 citations
14 papers · 496 indexed · 1 hit paper · h-index 8
Topics
Climate variability and models (8 papers)Meteorological Phenomena and Simulations (8 papers)Hydrology and Watershed Management Studies (7 papers)
Partner nations
United StatesChinaTaiwan

In The Last Decade

Wen‐Ying Wu

13 papers receiving 488 citations

Hit Papers

Divergent effects of climate change on future groundwater...2020202620222024202050100150200250

Peers

Wen‐Ying Wu
Comparison fields: 5 of 57
  • Global and Planetary Change 237
  • Water Science and Technology 194
  • Environmental Engineering 125
  • Atmospheric Science 115
  • Geochemistry and Petrology 86
Replace Mary C. Hill with:
Mary C. Hill United States
Juan Chang China
Justin T. Brandt United States
Chaoyang Du China
Julio Cañón Colombia
Cary A. Talbot United States
Nicole Goutal France
Marco D’Oria Italy
José Agustín Breña‐Naranjo Mexico
Fadji Zaouna Maina United States
Wen‐Ying Wu relative to Mary C. Hill United States Mary C. Hill's profile →
Citations per field
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Mary C. Hill · 1×
Citations per year

Countries citing papers authored by Wen‐Ying Wu

Since Specialization
Citations

This map shows the geographic impact of Wen‐Ying 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 Wen‐Ying Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen‐Ying Wu more than expected).

Fields of papers citing papers by Wen‐Ying Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wen‐Ying 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 Wen‐Ying Wu. The network helps show where Wen‐Ying Wu may publish in the future.

Co-authorship network of co-authors of Wen‐Ying Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Wen‐Ying Wu. A scholar is included among the top collaborators of Wen‐Ying Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wen‐Ying Wu. Wen‐Ying Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 0
2 3
3 10
4 9
5 5
6 3
7 9
8 7
9 57
10
Divergent effects of climate change on future groundwater availability in key mid-latitude aquifersbreakdown →
265
11 7
12 63
13 25
14 33

About Wen‐Ying Wu

Wen‐Ying Wu is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science, having authored 14 papers that have together received 496 indexed citations. Recurring topics across this work include Climate variability and models (8 papers), Meteorological Phenomena and Simulations (8 papers) and Hydrology and Watershed Management Studies (7 papers). The work is most often cited by research in Geochemistry and Petrology (86 citations), Water Science and Technology (194 citations) and Global and Planetary Change (237 citations). Wen‐Ying Wu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Zong‐Liang Yang, Min‐Hui Lo, J. S. Famiglietti, J. T. Reager, Yoshihide Wada, Pat J.‐F. Yeh, Agnès Ducharne, Peirong Lin, Long Zhao and Jiangfeng Wei. Their work appears in journals such as Nature Communications, Remote Sensing of Environment and Water Resources Research.

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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