Shu Liu

17.5k citations
95 papers · 4.2k indexed · 5 hit papers · h-index 26

Shu Liu

87 papers receiving 4.1k citations

Hit Papers

Stratified Transformer for 3D Point Cloud Segment...3082019202620212023200400600

Peers

Shu Liu
Comparison fields: 5 of 130
  • Geology 768
  • Computer Vision and Pattern Recognition 2.8k
  • Computer Graphics and Computer-Aided Design 275
  • Environmental Engineering 727
  • Computational Mechanics 993
Replace Jaesik Park with:
Jaesik Park South Korea
Daniel Maturana United States
Gim Hee Lee Singapore
Xiaoyong Shen China
Zhirong Wu China
Andreas Nüchter Germany
Francesc Moreno-Noguer Spain
Yongbin Sun China
Shu Liu relative to Jaesik Park South Korea Jaesik Park's profile →
Citations per field
00.5×1.5×
Jaesik Park · 1×
Citations per year

Countries citing papers authored by Shu Liu

Since Specialization
Citations

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

Fields of papers citing papers by Shu Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Shu Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shu Liu Line = papers co-authored together Shu Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20242
3 20242
4 20235
5 202332
6
Stratified Transformer for 3D Point Cloud Segmentationbreakdown →
2022308
7 202224
8 202227
9 202192
10
3DSSD: Point-Based 3D Single Stage Object Detectorbreakdown →
2020703
11
PointGroup: Dual-Set Point Grouping for 3D Instance Segmentationbreakdown →
2020274
12
STD: Sparse-to-Dense 3D Object Detector for Point Cloudbreakdown →
2019569
13 2017158
14
Automatic classification method of ETM+ remote sensing images based on Google Earth.
20121
15
Research of Underwater Navigation Technology
20121
16 20117
17
Shape-based pedestrian detection in infrared images
20073
18
A Study on System Optimal Maintenance Policy
20040
19
Study of security architecture of bluetooth
20030
20
Irregular active absorbing wave maker system
20030

About Shu Liu

Shu Liu is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Geology, having authored 95 papers that have together received 4.2k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (22 papers), Advanced Image and Video Retrieval Techniques (16 papers), Domain Adaptation and Few-Shot Learning (14 papers), 3D Shape Modeling and Analysis (11 papers), Advanced Vision and Imaging (9 papers), Robotics and Sensor-Based Localization (9 papers), Computer Graphics and Visualization Techniques (7 papers) and Video Surveillance and Tracking Methods (7 papers). The work is most often cited by research in Geology (768 citations), Computer Vision and Pattern Recognition (2.8k citations) and Computer Graphics and Computer-Aided Design (275 citations). Shu Liu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jiaya Jia, Yanan Sun, Zetong Yang, Xiaoyong Shen, Li Jiang, Hengshuang Zhao, Yilun Chen, Chi‐Wing Fu, Zhuotao Tian and Jiequan Cui. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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