Lie Gu

527 citations
7 papers · 319 · h-index 7

Impact in

    • Face recognition and analysis
    • Face and Expression Recognition
    • Advanced Image and Video Retrieval Techniques
    • Video Surveillance and Tracking Methods
    • Image Retrieval and Classification Techniques
    • Video Analysis and Summarization
    • Advanced Vision and Imaging
    • Biometric Identification and Security

Papers in

    • Face and Expression Recognition 4
    • Face recognition and analysis 3
    • Advanced Image and Video Retrieval Techniques 2
    • Video Surveillance and Tracking Methods 1
    • Multimodal Machine Learning Applications 1
    • Biometric Identification and Security 1

Lie Gu

7 papers receiving 304 citations

Peers

Lie Gu
Comparison fields: 5 of 42
  • Computer Vision and Pattern Recognition 290
  • Signal Processing 56
  • Human-Computer Interaction 8
  • Computer Graphics and Computer-Aided Design 5
  • Computational Mechanics 28
Replace Graham McNeill with:
Graham McNeill United Kingdom
Berk Gökberk Türkiye
Chaua Queirolo Brazil
Masayuki Mukunoki Japan
Mert Dikmen United States
Weipeng Hu China
Minyoung Kim South Korea
Dalong Jiang China
Amirhossein Habibian Netherlands
Yin-Hsi Kuo Taiwan
Lie Gu relative to Graham McNeill United Kingdom Graham McNeill's profile →
Citations per field
00.5×3.1×
Graham McNeill · 1×
Citations per year

Countries citing papers authored by Lie Gu

Since Specialization
Citations

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

Fields of papers citing papers by Lie Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Lie Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lie Gu Line = papers co-authored together Lie Gu links everyone, so they are left out of the graph.

All Works

About Lie Gu

Lie Gu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Geometry and Topology and Media Technology, having authored 7 papers that have together received 319 indexed citations. Recurring topics across this work include Face and Expression Recognition (4 papers), Face recognition and analysis (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Remote-Sensing Image Classification (1 paper), Video Surveillance and Tracking Methods (1 paper), Biometric Identification and Security (1 paper), Multimodal Machine Learning Applications (1 paper) and Text and Document Classification Technologies (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (290 citations), Signal Processing (56 citations), Human-Computer Interaction (8 citations), Computer Graphics and Computer-Aided Design (5 citations) and Computational Mechanics (28 citations). Lie Gu has collaborated with scholars based in United States and China. Frequent co-authors include Hao Zhang, Yi Zhou, Takeo Kanade, S.Z. Li, Xiang-Rong Chen, Bernhard Schölkopf, Yimin Cheng, Hao Jiang, Wei Qi and Takeo Kanade.

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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