Xiaotao Gu

1.5k citations
3 papers · 729 indexed · 1 hit paper · h-index 2

Impact in

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

Papers in

Partner nations
China

In The Last Decade

Xiaotao Gu

3 papers receiving 696 citations

Hit Papers

Accurate medium-range global weather forecasting with 3D neural networks 2023 · 727 citations
7272023202620242025200400600

Peers

Xiaotao Gu
Comparison fields: 5 of 94
  • Atmospheric Science 358
  • Global and Planetary Change 274
  • Environmental Engineering 165
  • Oceanography 67
  • Artificial Intelligence 127
Replace Kaifeng Bi with:
Kaifeng Bi China
Ferran Alet United States
Timo Ewalds United Kingdom
Dmitry Kangin United Kingdom
Rachel Prudden United Kingdom
Sebastian Scher Sweden
Aidan Clark United Kingdom
Matthew Chantry United Kingdom
Ellen Clancy United Kingdom
Xiaotao Gu relative to Kaifeng Bi China Kaifeng Bi's profile →
Citations per field
00.5×1.5×
Kaifeng Bi · 1×
Citations per year

Countries citing papers authored by Xiaotao Gu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaotao Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Xiaotao Gu, 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 Xiaotao Gu Line = papers co-authored together Xiaotao Gu links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown
#Work
1 20251
2 20241
3
Accurate medium-range global weather forecasting with 3D neural networks
Hit paper breakdown →
2023727

About Xiaotao Gu

Xiaotao Gu is a scholar working on Atmospheric Science, Computer Vision and Pattern Recognition, Global and Planetary Change, Infectious Diseases and Organic Chemistry, having authored 3 papers that have together received 729 indexed citations. Recurring topics across this work include Climate variability and models (1 paper), Advanced Image and Video Retrieval Techniques (1 paper), Human Pose and Action Recognition (1 paper), Meteorological Phenomena and Simulations (1 paper), Tropical and Extratropical Cyclones Research (1 paper) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Atmospheric Science (358 citations), Global and Planetary Change (274 citations), Environmental Engineering (165 citations), Oceanography (67 citations) and Artificial Intelligence (127 citations). Xiaotao Gu has collaborated with scholars based in China. Frequent co-authors include Lingxi Xie, Kaifeng Bi, Xin Chen, Qi Tian, Minlie Huang, Zhuoyi Yang, Weihan Wang, Jiaxin Xu, Hao Huang and Hongning Wang. Their work appears in journals such as Nature.

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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