Songcan Chen
Impact in
- Computer Vision and Pattern Recognition top 0.05%
- Face and Expression Recognition
- Image Retrieval and Classification Techniques
- Face recognition and analysis
- Advanced Image and Video Retrieval Techniques
- Medical Image Segmentation Techniques
- Media Technology top 0.1%
- Remote-Sensing Image Classification
Papers in
-
- Face and Expression Recognition 129
- Advanced Image and Video Retrieval Techniques 25
- Co-authors
- Daoqiang ZhangXiaoyang TanZhi‐Hua ZhouLishan QiaoWeiling CaiSheng-Jun HuangChuanxing GengMenglei Hu
- Journals
- Pattern Recognition (39 papers)Neurocomputing (30 papers)Frontiers of Computer Science (14 papers)IEEE Transactions on Neural Networks and Learning Systems (10 papers)Neural Processing Letters (10 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Songcan Chen
256 papers receiving 9.1k citations
Hit Papers
Peers
Comparison fields: 5 of 182
- Computer Vision and Pattern Recognition 6.3k
- Media Technology 1.6k
- Artificial Intelligence 3.8k
- Computational Mathematics 65
- Signal Processing 1.1k
Countries citing papers authored by Songcan Chen
This map shows the geographic impact of Songcan Chen'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 Songcan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Songcan Chen more than expected).
Fields of papers citing papers by Songcan Chen
This network shows the impact of papers produced by Songcan Chen. 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 Songcan Chen. The network helps show where Songcan Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Songcan Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 27 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 16 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 10 | |
| 8 | 2022 | 8 | |
| 9 | 2020 | 125 | |
| 10 | Hierarchical Dirichlet Process-based Open Set Recognition. | 2018 | 1 |
| 11 | Transfer learning with active queries from source domain | 2016 | 11 |
| 12 | Web page classification based on uncorrelated semi-supervised intra-view and inter-view manifold discriminant feature extraction | 2015 | 10 |
| 13 | Matrix metric learning algorithm based on likelihood ratio test with matrix normal distribution | 2012 | 0 |
| 14 | BCDNPKL: Scalable Non-Parametric Kernel Learning Using Block Coordinate Descent | 2011 | 8 |
| 15 | Locating Optic Disc in Color Retinal Images Using Main Blood Vessel Network | 2010 | 1 |
| 16 | A survey of feature extraction and classifier design based on tensor pattern | 2009 | 2 |
| 17 | Constraint projections for ensemble learning | 2008 | 20 |
| 18 | Class-specific Linear Discriminant Analysis | 2008 | 2 |
| 19 | 2008 | 109 | |
| 20 | 2003 | 6 |
About Songcan Chen
Songcan Chen is a scholar working on Computer Vision and Pattern Recognition, Computational Mathematics, Artificial Intelligence, Media Technology and Signal Processing, having authored 271 papers that have together received 9.5k indexed citations. Recurring topics across this work include Face and Expression Recognition (129 papers), Domain Adaptation and Few-Shot Learning (44 papers), Neural Networks and Applications (39 papers), Text and Document Classification Technologies (34 papers), Remote-Sensing Image Classification (29 papers), Machine Learning and ELM (28 papers), Sparse and Compressive Sensing Techniques (26 papers) and Advanced Image and Video Retrieval Techniques (25 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (6.3k citations), Media Technology (1.6k citations), Artificial Intelligence (3.8k citations), Computational Mathematics (65 citations) and Signal Processing (1.1k citations). Songcan Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Daoqiang Zhang, Xiaoyang Tan, Zhi‐Hua Zhou, Lishan Qiao, Weiling Cai, Sheng-Jun Huang, Chuanxing Geng, Menglei Hu, Tingkai Sun and Fuyan Zhang. Their work appears in journals such as Pattern Recognition, Neurocomputing, Frontiers of Computer Science, IEEE Transactions on Neural Networks and Learning Systems and Neural Processing Letters.
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.