Gaili Wang

503 citations
30 papers · 371 · h-index 11

Impact in

    • Climate variability and models
    • Hydrology and Drought Analysis
    • Plant Water Relations and Carbon Dynamics
    • Precipitation Measurement and Analysis
    • Meteorological Phenomena and Simulations

Papers in

Gaili Wang

26 papers receiving 369 citations

Peers

Gaili Wang
Comparison fields: 5 of 57
  • Global and Planetary Change 175
  • Atmospheric Science 130
  • Virology 29
  • Animal Science and Zoology 40
  • Infectious Diseases 42
Replace Fiona Hamilton with:
Fiona Hamilton United Kingdom
Hugues Santin‐Janin France
Simone Gruber Brazil
Jasjeet Dhanota United States
M. Puigcerver Spain
Véronique Letort France
Joseph L. Pettit United States
SJ Jeffries United States
Aviad Scheinin Israel
K. Bohn Germany
Gaili Wang relative to Fiona Hamilton United Kingdom Fiona Hamilton's profile →
Citations per field
00.5×5.2×
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Citations per year

Countries citing papers authored by Gaili Wang

Since Specialization
Citations

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

Fields of papers citing papers by Gaili Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gaili Wang, 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 Gaili Wang Line = papers co-authored together Gaili Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013121
2 201135
3 202035
4 201231
5 202218
6 201317
7 201214
8 201413
9 202213
10 202012
11 201911
12 20228
13 20177
14 20136
15 20116
16 20115
17 20234
18 20214
19
Storm Identification, Tracking and Nowcasting Techniques Based on the Radar Mosaic Data
20103
20 20222

About Gaili Wang

Gaili Wang is a scholar working on Atmospheric Science, Global and Planetary Change, Animal Science and Zoology, Genetics and Infectious Diseases, having authored 30 papers that have together received 371 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (10 papers), Precipitation Measurement and Analysis (9 papers), Animal Virus Infections Studies (8 papers), Virus-based gene therapy research (5 papers), Climate variability and models (5 papers), Viral gastroenteritis research and epidemiology (3 papers), Viral Infections and Immunology Research (3 papers) and Atmospheric aerosols and clouds (3 papers). The work is most often cited by research in Global and Planetary Change (175 citations), Atmospheric Science (130 citations), Virology (29 citations), Animal Science and Zoology (40 citations) and Infectious Diseases (42 citations). Gaili Wang has collaborated with scholars based in China, United States and India. Frequent co-authors include Richard de Jeu, Tao Chen, A. J. Dolman, Guido R. van der Werf, Liping Liu, Kui Zhao, Wenqi He, Feng Gao, Shengnan Liu and Deguang Song. Their work appears in journals such as Advances in Atmospheric Sciences, Frontiers in Veterinary Science, Virology Journal, Remote Sensing and Archives of Virology.

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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