Banghuai Li

679 total citations · 1 hit paper
5 papers, 363 citations indexed

About

Banghuai Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Banghuai Li has authored 5 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Computer Networks and Communications. Recurrent topics in Banghuai Li's work include Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and 3D Surveying and Cultural Heritage (1 paper). Banghuai Li is often cited by papers focused on Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and 3D Surveying and Cultural Heritage (1 paper). Banghuai Li collaborates with scholars based in China, United States and United Kingdom. Banghuai Li's co-authors include Ye Yuan, Chi Zhang, Bo Sun, Jungong Han, Xuan Hu, Hao Ma, Yang Zhang, Lei Gan and Ye Yuan and has published in prestigious 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).

In The Last Decade

Banghuai Li

5 papers receiving 352 citations

Hit Papers

FSCE: Few-Shot Object Detection via Contrastive Proposal ... 2021 2026 2022 2024 2021 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Banghuai Li China 4 247 166 57 49 44 5 363
Tao Lu China 10 223 0.9× 50 0.3× 48 0.8× 49 1.0× 49 1.1× 27 335
Iro Laina United Kingdom 7 392 1.6× 148 0.9× 22 0.4× 45 0.9× 89 2.0× 13 505
Maximilian Jaritz France 4 309 1.3× 75 0.5× 74 1.3× 99 2.0× 50 1.1× 4 379
Kevin J. Shih United States 7 318 1.3× 164 1.0× 32 0.6× 46 0.9× 9 0.2× 17 419
Olga Barinova Russia 7 357 1.4× 72 0.4× 38 0.7× 107 2.2× 30 0.7× 11 473
Niloofar Gheissari Iran 9 479 1.9× 77 0.5× 29 0.5× 52 1.1× 13 0.3× 22 589
Ignas Budvytis United Kingdom 13 382 1.5× 45 0.3× 20 0.4× 55 1.1× 104 2.4× 26 444
Zonghao Guo China 5 213 0.9× 43 0.3× 83 1.5× 87 1.8× 15 0.3× 8 310
Zhisheng Zhang China 10 187 0.8× 47 0.3× 93 1.6× 37 0.8× 11 0.3× 52 304

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
1.
Li, Banghuai, et al.. (2023). LCPFormer: Towards Effective 3D Point Cloud Analysis via Local Context Propagation in Transformers. IEEE Transactions on Circuits and Systems for Video Technology. 33(9). 4985–4996. 48 indexed citations
2.
Gan, Lei, et al.. (2022). FBNet: Feature Balance Network for Urban-Scene Segmentation. 2022 IEEE International Conference on Multimedia and Expo (ICME). 2. 1–6. 1 indexed citations
3.
Li, Banghuai. (2022). Adaptive Hierarchical Representation Learning for Long-Tailed Object Detection. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2303–2312. 7 indexed citations
4.
Sun, Bo, et al.. (2021). FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding. 7348–7358. 302 indexed citations breakdown →
5.
Hu, Xuan, et al.. (2016). Detecting Compromised Email Accounts from the Perspective of Graph Topology. 3. 76–82. 5 indexed citations

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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