Songcan Chen

506 total citations
15 papers, 305 citations indexed

About

Songcan Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Songcan Chen has authored 15 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Signal Processing. Recurrent topics in Songcan Chen's work include Face and Expression Recognition (10 papers), Image Retrieval and Classification Techniques (5 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Songcan Chen is often cited by papers focused on Face and Expression Recognition (10 papers), Image Retrieval and Classification Techniques (5 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Songcan Chen collaborates with scholars based in China and United Kingdom. Songcan Chen's co-authors include Tingkai Sun, Zhe Wang, Min Wang, Daoqiang Zhang, Weiling Cai, Zhi‐Hua Zhou, Jun Li, Yu Zhou, Mei Yuan and Bo Zhao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Neurocomputing and Electronics Letters.

In The Last Decade

Songcan Chen

14 papers receiving 286 citations

Peers

Songcan Chen

CVPR

AI

MT

SP

CM

Rongchun Zhao China

Limei Zhang China

Haifeng Zhao China

Xianzhong Long China

Tingjin Luo China

Gui-Fu Lu China

Kerstin Malmqvist Sweden

Zilan Hu China

Lining Zhang Singapore

Wentao Ma China

Rongchun Zhao China

Songcan Chen

198 ×0.9

CVPR

88 ×0.6

AI

67 ×1.2

MT

42 ×1.0

SP

9 ×0.3

CM

Citations per year, relative to Songcan Chen Songcan Chen (= 1×) peers Rongchun Zhao

Countries citing papers authored by Songcan Chen

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Songcan Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Songcan Chen. A scholar is included among the top collaborators of Songcan Chen 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 Songcan Chen. Songcan Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

1.

Tian, Qing, Wenqiang Zhang, Meng Cao, et al.. (2020). Moment-Guided Discriminative Manifold Correlation Learning on Ordinal Data. ACM Transactions on Intelligent Systems and Technology. 11(5). 1–18. 3 indexed citations

2.

Yuan, Mei, Bo Zhao, Yu Zhou, & Songcan Chen. (2014). Orthogonal curved‐line Gabor filter for fast fingerprint enhancement. Electronics Letters. 50(3). 175–177. 19 indexed citations

3.

Chen, Songcan, et al.. (2012). Modifying NL-means to a universal filter. Optics Communications. 285(24). 4918–4926. 2 indexed citations

4.

Zhou, Xudong, Xiaohong Chen, & Songcan Chen. (2012). Low-Resolution Face Recognition in Semi-Paired and Semi-Supervised Scenario. 49(11). 2328.

5.

Song, Fengyi, Xiaoyang Tan, & Songcan Chen. (2012). Exploiting relationship between attributes for improved face verification. 27.1–27.11. 6 indexed citations

6.

Gu, Jingjing & Songcan Chen. (2011). Manifold‐based canonical correlation analysis for wireless sensor network localization. Wireless Communications and Mobile Computing. 12(15). 1389–1404. 3 indexed citations

7.

Chen, Xiaohong, Songcan Chen, & Hui Xue. (2011). Large correlation analysis. Applied Mathematics and Computation. 217(22). 9041–9052. 8 indexed citations

8.

Cai, Weiling, Songcan Chen, & Daoqiang Zhang. (2009). A Multiobjective Simultaneous Learning Framework for Clustering and Classification. IEEE Transactions on Neural Networks. 21(2). 185–200. 43 indexed citations

9.

Sun, Tingkai, Songcan Chen, Jingyu Yang, Xuelei Hu, & Pengfei Shi. (2009). Discriminative Canonical Correlation Analysis with Missing Samples. 95–99. 11 indexed citations

10.

Tan, Xiaoyang, Fengyi Song, Zhihua Zhou, & Songcan Chen. (2009). Enhanced Pictorial Structures for precise eye localization under incontrolled conditions. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 7 indexed citations

11.

Wang, Zhe, Songcan Chen, & Tingkai Sun. (2007). MultiK-MHKS: A Novel Multiple Kernel Learning Algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence. 30(2). 348–353. 95 indexed citations

12.

Chen, Songcan, et al.. (2006). Learning Non-Metric Partial Similarity Based on Maximal Margin Criterion. 138–145. 23 indexed citations

13.

Chen, Songcan, et al.. (2006). Image binarization focusing on objects. Neurocomputing. 69(16-18). 2411–2415. 19 indexed citations

14.

Sun, Tingkai & Songcan Chen. (2006). Class label versus sample label-based CCA. Applied Mathematics and Computation. 185(1). 272–283. 29 indexed citations

15.

Chen, Songcan & Min Wang. (2005). Seeking multi-thresholds directly from support vectors for image segmentation. Neurocomputing. 67. 335–344. 37 indexed citations

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.

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