Shuai Li

3.5k citations
132 papers · 2.1k indexed · 1 hit paper · h-index 26
Topics
Computer Graphics and Visualization Techniques (23 papers)3D Shape Modeling and Analysis (23 papers)Visual Attention and Saliency Detection (19 papers)

In The Last Decade

Shuai Li

120 papers receiving 2.1k citations

Hit Papers

CenterFormer: A Novel Cluster Center Enhanced Transformer...20242026202520241020304050

Peers

Shuai Li
Comparison fields: 5 of 133
  • Computer Vision and Pattern Recognition 1.2k
  • Artificial Intelligence 304
  • Media Technology 220
  • Biomedical Engineering 202
  • Computational Mechanics 152
Replace Mingyu Kim with:
Mingyu Kim South Korea
L. Yang United States
Gerd Häusler Germany
Geng Chen China
Jiangtao Xi Australia
Franco Docchio Italy
Lei Zhu China
Stephen Lin China
Yongde Zhang China
Shuai Li relative to Mingyu Kim South Korea Mingyu Kim's profile →
Citations per field
00.5×10×
Mingyu Kim · 1×
Citations per year

Countries citing papers authored by Shuai Li

Since Specialization
Citations

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

Fields of papers citing papers by Shuai Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuai Li

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 11
2 4
3 5
4 0
5 1
6 3
7
CenterFormer: A Novel Cluster Center Enhanced Transformer for Unconstrained Dental Plaque Segmentationbreakdown →
51
8 31
9 2
10 1
11 7
12 2
13 32
14 42
15 7
16 166
17 18
18
TopRank: A practical algorithm for online stochastic ranking
8
19
LOD Terrain Rendering Algorithm Based on Vertex Texture
1
20
HITS-based topic sensitive crawling method
1

About Shuai Li

Shuai Li is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 132 papers that have together received 2.1k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (23 papers), 3D Shape Modeling and Analysis (23 papers) and Visual Attention and Saliency Detection (19 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Acoustics and Ultrasonics (29 citations) and General Dentistry (57 citations). Shuai Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Aimin Hao, Hong Qin, Chenglizhao Chen, Wenfeng Song, George Barbastathis, Alexandre Goy, Ke Xie, Yong Wang, Yuting Guo and Zhenyu Wu. Their work appears in journals such as Physical Review Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

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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