Shaohui Liu

7.3k total citations · 2 hit papers
187 papers, 4.7k citations indexed

About

Shaohui Liu is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Shaohui Liu has authored 187 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 111 papers in Computer Vision and Pattern Recognition, 21 papers in Computational Mechanics and 19 papers in Artificial Intelligence. Recurrent topics in Shaohui Liu's work include Advanced Steganography and Watermarking Techniques (27 papers), Advanced Vision and Imaging (23 papers) and Video Surveillance and Tracking Methods (21 papers). Shaohui Liu is often cited by papers focused on Advanced Steganography and Watermarking Techniques (27 papers), Advanced Vision and Imaging (23 papers) and Video Surveillance and Tracking Methods (21 papers). Shaohui Liu collaborates with scholars based in China, South Korea and United States. Shaohui Liu's co-authors include Feng Jiang, Hongxun Yao, Debin Zhao, Ze Yang, Liwei Wang, Han Hu, Stephen Lin, Wuzhen Shi, Shengping Zhang and Seungmin Rho and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Journal of Medicinal Chemistry.

In The Last Decade

Shaohui Liu

173 papers receiving 4.6k citations

Hit Papers

RepPoints: Point Set Representation for Object Detection 2019 2026 2021 2023 2019 2019 200 400 600

Peers

Shaohui Liu
Comparison fields: 5 of 170
  • Computer Vision and Pattern Recognition 2.8k
  • Computational Mechanics 703
  • Artificial Intelligence 600
  • Media Technology 478
  • Biomedical Engineering 443
Replace Václav Hlaváč with:
Václav Hlaváč Czechia
Nikhila Ravi United States
Ying Shan China
Ke Lü China
Hui Zhang China
Xiaonan Luo China
Ming-Yu Liu United States
Anders Heyden Sweden
Lizhuang Ma China
Mathieu Salzmann Switzerland
Václav Hlaváč Czechia View profile →
Citations per field, relative to Shaohui Liu
Shaohui Liu · 1×
Citations per year, relative to Shaohui Liu
Shaohui Liu · 1×

Countries citing papers authored by Shaohui Liu

Since Specialization
Citations

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

Fields of papers citing papers by Shaohui Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaohui Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Shaohui Liu. A scholar is included among the top collaborators of Shaohui Liu 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 Shaohui Liu. Shaohui Liu 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
# Work Indexed citations
1 0
2 1
3 5
4 0
5 3
6 17
7 10
8 3
9 0
10 2
11 4
12 4
13 6
14 105
15 49
16
Manifold learning and manifold alignment based on coupled linear projections
5
17
Stimulation Analysis to Marine Crane Hydraulic System reliability Based on Fault Tree
1
18 56
19 11
20 7

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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