Shuangjun Liu
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Electrical and Electronic Engineering
- Mechanical Engineering
- Human-Computer Interaction
- Topics
- Human Pose and Action Recognition (7 papers)Hand Gesture Recognition Systems (4 papers)Pressure Ulcer Prevention and Management (3 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceJournal of Materials Processing TechnologyIEEE Signal Processing Magazine
- Partner nations
- United StatesChinaItaly
In The Last Decade
Shuangjun Liu
15 papers receiving 206 citations
Peers
Comparison fields: 5 of 62
- Computer Vision and Pattern Recognition 112
- Biomedical Engineering 52
- Electrical and Electronic Engineering 28
- Mechanical Engineering 27
- Human-Computer Interaction 18
Countries citing papers authored by Shuangjun Liu
This map shows the geographic impact of Shuangjun 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 Shuangjun Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuangjun Liu more than expected).
Fields of papers citing papers by Shuangjun Liu
This network shows the impact of papers produced by Shuangjun 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 Shuangjun Liu. The network helps show where Shuangjun Liu may publish in the future.
Co-authorship network of co-authors of Shuangjun Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Shuangjun Liu. A scholar is included among the top collaborators of Shuangjun 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 Shuangjun Liu. Shuangjun 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 | 4 | |
| 2 | 7 | |
| 3 | 2 | |
| 4 | 48 | |
| 5 | 1 | |
| 6 | 26 | |
| 7 | 6 | |
| 8 | Nanomaterials-based Color-Detection via Machine-Learning Algorithms | 1 |
| 9 | 8 | |
| 10 | 17 | |
| 11 | 9 | |
| 12 | 32 | |
| 13 | 0 | |
| 14 | 11 | |
| 15 | 1 | |
| 16 | 38 |
About Shuangjun Liu
Shuangjun Liu is a scholar working on Human-Computer Interaction, Occupational Therapy and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 211 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (7 papers), Hand Gesture Recognition Systems (4 papers) and Pressure Ulcer Prevention and Management (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (112 citations), Human-Computer Interaction (18 citations) and Occupational Therapy (12 citations). Shuangjun Liu has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Sarah Ostadabbas, Xiaofei Huang, Nihang Fu, Wei Liu, Cheng Li, Bangguo Wang, Jian Du, Swastik Kar, Zhenyuan Jia and Le Jiang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Materials Processing Technology and IEEE Signal Processing Magazine.
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.