Shu Liu
- Computer Vision and Pattern Recognition top 0.2%
- Aerospace Engineering top 1%
- Computational Mechanics top 1%
- Geology top 0.5%
- Artificial Intelligence top 2%
- Topics
- Advanced Neural Network Applications (22 papers)Advanced Image and Video Retrieval Techniques (16 papers)Domain Adaptation and Few-Shot Learning (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Shu Liu
87 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Computer Vision and Pattern Recognition 2.8k
- Aerospace Engineering 1.1k
- Computational Mechanics 993
- Geology 768
- Artificial Intelligence 741
Countries citing papers authored by Shu Liu
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
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 of co-authors of Shu Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Shu Liu. A scholar is included among the top collaborators of Shu 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 Shu Liu. Shu Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 32 | |
| 6 | Stratified Transformer for 3D Point Cloud Segmentationbreakdown → | 308 |
| 7 | 24 | |
| 8 | 27 | |
| 9 | 92 | |
| 10 | 3DSSD: Point-Based 3D Single Stage Object Detectorbreakdown → | 703 |
| 11 | PointGroup: Dual-Set Point Grouping for 3D Instance Segmentationbreakdown → | 274 |
| 12 | STD: Sparse-to-Dense 3D Object Detector for Point Cloudbreakdown → | 569 |
| 13 | 158 | |
| 14 | Automatic classification method of ETM+ remote sensing images based on Google Earth. | 1 |
| 15 | Research of Underwater Navigation Technology | 1 |
| 16 | 7 | |
| 17 | Shape-based pedestrian detection in infrared images | 3 |
| 18 | A Study on System Optimal Maintenance Policy | 0 |
| 19 | Study of security architecture of bluetooth | 0 |
| 20 | Irregular active absorbing wave maker system | 0 |
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) and Domain Adaptation and Few-Shot Learning (14 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.