Yunlian Sun
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 10%
- Signal Processing top 5%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Topics
- Face recognition and analysis (13 papers)Biometric Identification and Security (7 papers)Face and Expression Recognition (7 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on CyberneticsIEEE Transactions on Neural Networks and Learning Systems
- Partner nations
- ChinaItalyUnited Kingdom
In The Last Decade
Yunlian Sun
26 papers receiving 610 citations
Peers
Comparison fields: 5 of 93
- Computer Vision and Pattern Recognition 430
- Artificial Intelligence 199
- Signal Processing 107
- Electrical and Electronic Engineering 57
- Biomedical Engineering 49
Countries citing papers authored by Yunlian Sun
This map shows the geographic impact of Yunlian Sun'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 Yunlian Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunlian Sun more than expected).
Fields of papers citing papers by Yunlian Sun
This network shows the impact of papers produced by Yunlian Sun. 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 Yunlian Sun. The network helps show where Yunlian Sun may publish in the future.
Co-authorship network of co-authors of Yunlian Sun
This figure shows the co-authorship network connecting the top 25 collaborators of Yunlian Sun. A scholar is included among the top collaborators of Yunlian Sun 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 Yunlian Sun. Yunlian Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 2 | |
| 3 | 92 | |
| 4 | 42 | |
| 5 | 6 | |
| 6 | 8 | |
| 7 | 35 | |
| 8 | 190 | |
| 9 | 28 | |
| 10 | 49 | |
| 11 | 31 | |
| 12 | 5 | |
| 13 | 7 | |
| 14 | 15 | |
| 15 | 6 | |
| 16 | Cohort normalization based sparse representation for undersampled face recognition | 2 |
| 17 | 11 | |
| 18 | 10 | |
| 19 | Blind separation of multidimensional mixed signals based on fast independent component analysis | 1 |
| 20 | 8 |
About Yunlian Sun
Yunlian Sun is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Energy Engineering and Power Technology, having authored 26 papers that have together received 624 indexed citations. Recurring topics across this work include Face recognition and analysis (13 papers), Biometric Identification and Security (7 papers) and Face and Expression Recognition (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (430 citations), Signal Processing (107 citations) and Artificial Intelligence (199 citations). Yunlian Sun has collaborated with scholars based in China, Italy and United Kingdom. Frequent co-authors include Jinhui Tang, Xiangbo Shu, Liyan Zhang, Zhenan Sun, Hao Tang, Mássimo Tistarelli, Tieniu Tan, Man Zhang, Qiaolin Ye and Dong Zhang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Cybernetics and IEEE Transactions on Neural Networks and Learning Systems.
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.