Rujie Liu
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Signal Processing top 10%
- Clinical Psychology
- Co-authors
- Wei ShenBaozong YuanTakayuki BabaYuehong WangZiqiang ShiJingai ShaoHanping ChenYanyang Mei
- Topics
- Speech and Audio Processing (13 papers)Face and Expression Recognition (13 papers)Face recognition and analysis (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioresource TechnologyFood Chemistry
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Rujie Liu
61 papers receiving 647 citations
Peers
Comparison fields: 5 of 121
- Computer Vision and Pattern Recognition 316
- Artificial Intelligence 141
- Biomedical Engineering 116
- Signal Processing 89
- Clinical Psychology 35
Countries citing papers authored by Rujie Liu
This map shows the geographic impact of Rujie 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 Rujie Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rujie Liu more than expected).
Fields of papers citing papers by Rujie Liu
This network shows the impact of papers produced by Rujie 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 Rujie Liu. The network helps show where Rujie Liu may publish in the future.
Co-authorship network of co-authors of Rujie Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Rujie Liu. A scholar is included among the top collaborators of Rujie 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 Rujie Liu. Rujie 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 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 15 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 8 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 7 | |
| 14 | 15 | |
| 15 | 20 | |
| 16 | A pairwise learning strategy for video-based face recognition | 1 |
| 17 | 25 | |
| 18 | INFLUENCE OF OXYGEN CONCENTRATION ON BIOMASS TORREFACTION | 2 |
| 19 | 95 | |
| 20 | Automatic eye feature extraction in human face images | 3 |
About Rujie Liu
Rujie Liu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Energy Engineering and Power Technology, having authored 70 papers that have together received 673 indexed citations. Recurring topics across this work include Speech and Audio Processing (13 papers), Face and Expression Recognition (13 papers) and Face recognition and analysis (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (316 citations), Signal Processing (89 citations) and Artificial Intelligence (141 citations). Rujie Liu has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Wei Shen, Baozong Yuan, Takayuki Baba, Yuehong Wang, Ziqiang Shi, Jingai Shao, Hanping Chen, Yanyang Mei, Qing Yang and Haiping Yang. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioresource Technology and Food Chemistry.
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.