Wanru Wu

638 citations
10 papers · 403 · h-index 8

Impact in

Papers in

Wanru Wu

10 papers receiving 390 citations

Peers

Wanru Wu
Comparison fields: 5 of 40
  • Environmental Engineering 200
  • Atmospheric Science 243
  • Global and Planetary Change 269
  • Water Science and Technology 105
  • Civil and Structural Engineering 57
Replace Agnès Ducharne with:
Agnès Ducharne France
S.C. Dunne United States
Dong-Sin Shih Taiwan
Brian Skahill United States
G.‐M. Saulnier France
Anouk Gevaert Netherlands
Jianhong Zhou China
Patricia M. Lawston United States
Cunbo Han China
S. E. Tuttle United States
Wanru Wu relative to Agnès Ducharne France Agnès Ducharne's profile →
Citations per field
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Agnès Ducharne · 1×
Citations per year

Countries citing papers authored by Wanru Wu

Since Specialization
Citations

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

Fields of papers citing papers by Wanru Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Wanru 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 Wanru Wu Line = papers co-authored together Wanru Wu links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2004141
2 2002135
3 201133
4 202327
5 201120
6 200617
7 200514
8 200211
9 20223
10
Evaluation of Radar Precipitation Estimates from NMQ and WSR-88D Digital Precipitation Array Products: Preliminary Results
20092

About Wanru Wu

Wanru Wu is a scholar working on Atmospheric Science, Global and Planetary Change, Environmental Engineering, Water Science and Technology and Pharmacology, having authored 10 papers that have together received 403 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (7 papers), Climate variability and models (6 papers), Hydrology and Watershed Management Studies (3 papers), Soil Moisture and Remote Sensing (3 papers), Precipitation Measurement and Analysis (2 papers), Plant Water Relations and Carbon Dynamics (2 papers), Soil and Unsaturated Flow (1 paper) and Cholinesterase and Neurodegenerative Diseases (1 paper). The work is most often cited by research in Environmental Engineering (200 citations), Atmospheric Science (243 citations), Global and Planetary Change (269 citations), Water Science and Technology (105 citations) and Civil and Structural Engineering (57 citations). Wanru Wu has collaborated with scholars based in United States and China. Frequent co-authors include Robert E. Dickinson, Marvin A. Geller, R. E. Dickinson, David Kitzmiller, Shaorong Wu, Yun Fan, Huug M. van den Dool, Ziya Zhang, Dennis Miller and Muhammad Shaikh. Their work appears in journals such as Journal of Hydrometeorology, Journal of Geophysical Research Atmospheres, International Journal of Climatology, JAWRA Journal of the American Water Resources Association and Geophysical Research Letters.

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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