Shenglan Liu

633 total citations
61 papers, 385 citations indexed

About

Shenglan Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Shenglan Liu has authored 61 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 9 papers in Computational Mechanics. Recurrent topics in Shenglan Liu's work include Face and Expression Recognition (13 papers), Human Pose and Action Recognition (11 papers) and Advanced Image and Video Retrieval Techniques (9 papers). Shenglan Liu is often cited by papers focused on Face and Expression Recognition (13 papers), Human Pose and Action Recognition (11 papers) and Advanced Image and Video Retrieval Techniques (9 papers). Shenglan Liu collaborates with scholars based in China, United Kingdom and France. Shenglan Liu's co-authors include Lin Feng, Jun Wu, Hong Qiao, Hongwei Zhang, Paul L. Rosin, Feng Lin, Yang Liu, Frank C. Langbein, Guang Hu and Ralph R. Martin and has published in prestigious journals such as IEEE Access, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.

In The Last Decade

Shenglan Liu

57 papers receiving 376 citations

Peers

Shenglan Liu
Comparison fields: 5 of 81
  • Computer Vision and Pattern Recognition 279
  • Artificial Intelligence 95
  • Media Technology 57
  • Computational Mechanics 40
  • Biomedical Engineering 34
Replace Yuxuan Wei with:
Yuxuan Wei China
Juxiang Zhou China
Xiangsheng Huang China
Yueyu Hu China
Zhaoxuan Yang China
Seungjoon Yang South Korea
Xinyang Geng United States
Jungchan Cho South Korea
Jiancheng Zou China
Ayşegül Dündar United States
Yuxuan Wei China View profile →
Citations per field, relative to Shenglan Liu
Shenglan Liu · 1×
Citations per year, relative to Shenglan Liu
Shenglan Liu · 1×

Countries citing papers authored by Shenglan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Shenglan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shenglan Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Shenglan Liu. A scholar is included among the top collaborators of Shenglan 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 Shenglan Liu. Shenglan 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 0
3 3
4 1
5 5
6 4
7 2
8 12
9 3
10 1
11 8
12
An Image Feature Extraction Method Based on Adaptive Fusion of Object and Background
1
13 8
14 24
15
A Hierarchical and Fast Algorithm of Constrained Registration for Complex Blanks with Small Machining Allowance
1
16
A Multi-manifold Learning Algorithm Based on Locally Linear Embedding
2
17
Stepwise Refinement Localization Method for Impeller Inspection on Coordinate Measuring Machine
1
18
Dimensionality Reduction Algorithm Based on Density Portrayal
1
19
Background Surface Estimation for Reverse Engineering of Reliefs
8
20
A Mesh Smoothing Algorithm for Feature Enhancing
1

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026