Songfan Yang

1.8k total citations · 1 hit paper
41 papers, 1.3k citations indexed

About

Songfan Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Songfan Yang has authored 41 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in Songfan Yang's work include Video Surveillance and Tracking Methods (13 papers), Face recognition and analysis (12 papers) and Human Pose and Action Recognition (11 papers). Songfan Yang is often cited by papers focused on Video Surveillance and Tracking Methods (13 papers), Face recognition and analysis (12 papers) and Human Pose and Action Recognition (11 papers). Songfan Yang collaborates with scholars based in United States, China and Singapore. Songfan Yang's co-authors include Bir Bhanu, Le An, Deva Ramanan, Xi Peng, Joey Tianyi Zhou, Xiaojing Chen, Wei‐Yun Yau, Jiashi Feng, Shijie Xiao and Mehran Kafai and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition and Information Sciences.

In The Last Decade

Songfan Yang

41 papers receiving 1.3k citations

Hit Papers

Structured AutoEncoders for Subspace Clustering 2018 2026 2020 2023 2018 50 100 150 200 250

Peers

Songfan Yang
Comparison fields: 5 of 108
  • Computer Vision and Pattern Recognition 1.0k
  • Artificial Intelligence 311
  • Experimental and Cognitive Psychology 185
  • Biomedical Engineering 183
  • Media Technology 160
Replace Konstantinos Bousmalis with:
Konstantinos Bousmalis United Kingdom
Raymond Ptucha United States
Enver Sangineto Italy
Andreas Savakis United States
Gaoyun An China
Qiuqi Ruan China
Xiuzhuang Zhou China
Junlin Hu China
Loong‐Fah Cheong Singapore
M.K.H. Leung Singapore
Konstantinos Bousmalis United Kingdom View profile →
Citations per field, relative to Songfan Yang
Songfan Yang · 1×
Citations per year, relative to Songfan Yang
Songfan Yang · 1×

Countries citing papers authored by Songfan Yang

Since Specialization
Citations

This map shows the geographic impact of Songfan Yang'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 Songfan Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Songfan Yang more than expected).

Fields of papers citing papers by Songfan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Songfan Yang. 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 Songfan Yang. The network helps show where Songfan Yang may publish in the future.

Co-authorship network of co-authors of Songfan Yang

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 6
2
CLEARER: Multi-Scale Neural Architecture Search for Image Restoration
44
3 5
4
Identifying At-Risk K-12 Students in Multimodal Online Environments: A Machine Learning Approach.
1
5 21
6 5
7 17
8 6
9 63
10 45
11 19
12 10
13 40
14 2
15 6
16 52
17
Face Recognition in Multi-Camera Surveillance Videos
9
18 71
19 7
20 71

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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