Wang‐chun Woo

8.4k citations
6 papers · 218 · h-index 4

Impact in

    • Meteorological Phenomena and Simulations
    • Precipitation Measurement and Analysis
    • Tropical and Extratropical Cyclones Research
    • Flood Risk Assessment and Management
    • Climate variability and models

Papers in

Wang‐chun Woo

6 papers receiving 214 citations

Peers

Wang‐chun Woo
Comparison fields: 5 of 25
  • Atmospheric Science 165
  • Global and Planetary Change 107
  • Oceanography 44
  • Environmental Engineering 33
  • Astronomy and Astrophysics 25
Replace Jordan Gerth with:
Jordan Gerth United States
Chermelle Engel Australia
Wayne Bresky United States
Ninghai Sun United States
Najda Villefranque France
Hongqing Wang China
Thomas R. Saxen United States
R. Iacovazzi United States
Brian D. Jamison United States
W.C. Boncyk United States
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Citations per field
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Citations per year

Countries citing papers authored by Wang‐chun Woo

Since Specialization
Citations

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

Fields of papers citing papers by Wang‐chun Woo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wang‐chun Woo. 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 Wang‐chun Woo. The network helps show where Wang‐chun Woo may publish in the future.

Co-authors

The 4 scholars most cited alongside Wang‐chun Woo, 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 Wang‐chun Woo Line = papers co-authored together Wang‐chun Woo links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 2017161
2 201737
3
Application of Optical Flow Techniques to Rainfall Nowcasting
201412
4 20146
5
Location-Based Rainfall Nowcasting Service for Public
20131
6 20211

About Wang‐chun Woo

Wang‐chun Woo is a scholar working on Atmospheric Science, Global and Planetary Change, Computer Networks and Communications, Astronomy and Astrophysics and Information Systems, having authored 6 papers that have together received 218 indexed citations. Recurring topics across this work include Precipitation Measurement and Analysis (3 papers), Soil Moisture and Remote Sensing (1 paper), Ionosphere and magnetosphere dynamics (1 paper), Mobile and Web Applications (1 paper), Tropical and Extratropical Cyclones Research (1 paper), Climate variability and models (1 paper), Opportunistic and Delay-Tolerant Networks (1 paper) and Advanced Vision and Imaging (1 paper). The work is most often cited by research in Atmospheric Science (165 citations), Global and Planetary Change (107 citations), Oceanography (44 citations), Environmental Engineering (33 citations) and Astronomy and Astrophysics (25 citations). Wang‐chun Woo has collaborated with scholars based in China, Hong Kong and Philippines. Frequent co-authors include Wai Kin Wong, Zhizhao Liu, Biyan Chen and Amos P. K. Tai. Their work appears in journals such as Atmosphere, Journal of Atmospheric and Oceanic Technology, EGUGA and DOAJ (DOAJ: Directory of Open Access Journals).

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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