Banghuai Li

679 citations
5 papers · 363 indexed · 1 hit paper · h-index 4
Topics
Advanced Neural Network Applications (3 papers)Domain Adaptation and Few-Shot Learning (2 papers)3D Surveying and Cultural Heritage (1 paper)
Journals
IEEE Transactions on Circuits and Systems for Video Technology2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)2022 IEEE International Conference on Multimedia and Expo (ICME)

In The Last Decade

Banghuai Li

5 papers receiving 352 citations

Hit Papers

FSCE: Few-Shot Object Detection via Contrastive Proposal ...20212026202220242021100200300

Peers

Banghuai Li
Comparison fields: 5 of 60
  • Computer Vision and Pattern Recognition 247
  • Artificial Intelligence 166
  • Media Technology 57
  • Aerospace Engineering 49
  • Computational Mechanics 44
Replace Tao Lu with:
Tao Lu China
Maximilian Jaritz France
Niloofar Gheissari Iran
Kevin J. Shih United States
Olga Barinova Russia
Zhisheng Zhang China
Zhengfa Liang China
Zonghao Guo China
Minh-Tri Pham United Kingdom
Banghuai Li relative to Tao Lu China Tao Lu's profile →
Citations per field
00.5×3.3×
Tao Lu · 1×
Citations per year

Countries citing papers authored by Banghuai Li

Since Specialization
Citations

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

Fields of papers citing papers by Banghuai Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Banghuai Li

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

All Works

5 of 5 papers shown
#WorkIndexed citations
1 48
2 1
3 7
4
FSCE: Few-Shot Object Detection via Contrastive Proposal Encodingbreakdown →
302
5 5

About Banghuai Li

Banghuai Li is a scholar working on Computer Graphics and Computer-Aided Design, Geology and Computer Vision and Pattern Recognition, having authored 5 papers that have together received 363 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and 3D Surveying and Cultural Heritage (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (247 citations), Media Technology (57 citations) and Geology (33 citations). Banghuai Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ye Yuan, Bo Sun, Chi Zhang, Jungong Han, Yang Zhang, Hao Ma, Xuan Hu, Ye Yuan and Lei Gan. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2022 IEEE International Conference on Multimedia and Expo (ICME).

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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