Kaifeng Bi

1.6k citations
3 papers · 785 indexed · 1 hit paper · h-index 2
Topics
Advanced Neural Network Applications (2 papers)Advanced Image and Video Retrieval Techniques (1 paper)Tropical and Extratropical Cyclones Research (1 paper)
Partner nations
China

In The Last Decade

Kaifeng Bi

3 papers receiving 752 citations

Hit Papers

Accurate medium-range global weather forecasting with 3D ...20232026202420252023200400600

Peers

Kaifeng Bi
Comparison fields: 5 of 99
  • Atmospheric Science 359
  • Global and Planetary Change 274
  • Artificial Intelligence 168
  • Environmental Engineering 165
  • Electrical and Electronic Engineering 97
Replace Xiaotao Gu with:
Xiaotao Gu China
Dmitry Kangin United Kingdom
Ferran Alet United States
Matthew Chantry United Kingdom
Rachel Prudden United Kingdom
Aidan Clark United Kingdom
Rémi Lam United States
Karthik Kashinath United States
Dorit Hammerling United States
Kaifeng Bi relative to Xiaotao Gu China Xiaotao Gu's profile →
Citations per field
00.5×1.5×
Xiaotao Gu · 1×
Citations per year

Countries citing papers authored by Kaifeng Bi

Since Specialization
Citations

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

Fields of papers citing papers by Kaifeng Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaifeng Bi

This figure shows the co-authorship network connecting the top 25 collaborators of Kaifeng Bi. A scholar is included among the top collaborators of Kaifeng Bi 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 Kaifeng Bi. Kaifeng Bi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
#WorkIndexed citations
1
Accurate medium-range global weather forecasting with 3D neural networksbreakdown →
727
2 1
3 57

About Kaifeng Bi

Kaifeng Bi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Atmospheric Science, having authored 3 papers that have together received 785 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (2 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Tropical and Extratropical Cyclones Research (1 paper). The work is most often cited by research in Atmospheric Science (359 citations), Global and Planetary Change (274 citations) and Environmental Engineering (165 citations). Kaifeng Bi has collaborated with scholars based in China. Frequent co-authors include Lingxi Xie, Qi Tian, Xin Chen, Xiaotao Gu, Xin Chen, Longhui Wei, Yuhui Xu, Jianlong Chang, An Xiao and Xiaopeng Zhang. Their work appears in journals such as Nature, ACM Computing Surveys and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

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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