Rufeng Chu

1.6k citations
7 papers · 498 indexed · 1 hit paper · h-index 4
Topics
Face and Expression Recognition (3 papers)Face recognition and analysis (3 papers)Biometric Identification and Security (2 papers)
Partner nations
ChinaCanada

In The Last Decade

Rufeng Chu

7 papers receiving 450 citations

Hit Papers

Illumination Invariant Face Recognition Using Near-Infrar...20072026201320192007100200300400

Peers

Rufeng Chu
Comparison fields: 5 of 58
  • Computer Vision and Pattern Recognition 430
  • Signal Processing 157
  • Media Technology 79
  • Aerospace Engineering 25
  • Biomedical Engineering 24
Replace Chi Fang with:
Chi Fang China
Gabriele Sabatino Italy
Ngoc‐Son Vu France
Chia-Po Wei Taiwan
G. Passalis United States
Xiaozheng Zhang Australia
S. Gurbuz United States
Virginia Espinosa-Duró Spain
Cunjian Chen United States
Thomas S. Huang United States
Rufeng Chu relative to Chi Fang China Chi Fang's profile →
Citations per field
00.5×2.7×
Chi Fang · 1×
Citations per year

Countries citing papers authored by Rufeng Chu

Since Specialization
Citations

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

Fields of papers citing papers by Rufeng Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rufeng Chu

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1
Object Detection via End-to-End Integration of Aspect Ratio and Context Aware Part-based Models and Fully Convolutional Networks.
3
2 3
3
Illumination Invariant Face Recognition Using Near-Infrared Imagesbreakdown →
415
4 13
5
Highly accurate and fast face recognition using near infrared images
1
6 32
7 31

About Rufeng Chu

Rufeng Chu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Human-Computer Interaction, having authored 7 papers that have together received 498 indexed citations. Recurring topics across this work include Face and Expression Recognition (3 papers), Face recognition and analysis (3 papers) and Biometric Identification and Security (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (430 citations), Signal Processing (157 citations) and Media Technology (79 citations). Rufeng Chu has collaborated with scholars based in China and Canada. Frequent co-authors include Shengcai Liao, Lun Zhang, Stan Z. Li, Xinge You, Xiangxin Zhu, Meng Ao, Ran He, Yufei Han, Tieniu Tan and Zhenan Sun. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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