Xiaqing Pan

514 citations
5 papers · 29 · h-index 3

Impact in

Papers in

    • Image Processing and 3D Reconstruction 2
    • Advanced Neural Network Applications 2
    • Advanced Image and Video Retrieval Techniques 1
    • Augmented Reality Applications 1
    • Human Pose and Action Recognition 1
    • Visual Attention and Saliency Detection 1
    • 3D Shape Modeling and Analysis 2

Xiaqing Pan

4 papers receiving 27 citations

Peers

Xiaqing Pan
Comparison fields: 5 of 21
  • Computer Vision and Pattern Recognition 19
  • Human-Computer Interaction 5
  • Geology 2
  • Industrial and Manufacturing Engineering 3
  • Computer Graphics and Computer-Aided Design 1
Replace Y. J. Song with:
Y. J. Song China
Qichen Fu United States
Takuma Yagi Japan
David Ha Japan
David Szepesvári United Kingdom
Asmita Desai India
Anton Varfolomieiev Ukraine
Yiwei Ding China
Yingjie Zhai Australia
Xiaqing Pan relative to Y. J. Song China Y. J. Song's profile →
Citations per field
00.5×
Y. J. Song · 1×
Citations per year

Countries citing papers authored by Xiaqing Pan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaqing Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Xiaqing Pan, 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 Xiaqing Pan Line = papers co-authored together Xiaqing Pan links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown

About Xiaqing Pan

Xiaqing Pan is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Electrical and Electronic Engineering, Geology and Infectious Diseases, having authored 5 papers that have together received 29 indexed citations. Recurring topics across this work include Image Processing and 3D Reconstruction (2 papers), 3D Shape Modeling and Analysis (2 papers), Advanced Neural Network Applications (2 papers), Advanced Image and Video Retrieval Techniques (1 paper), Augmented Reality Applications (1 paper), 3D Surveying and Cultural Heritage (1 paper), Human Pose and Action Recognition (1 paper) and Visual Attention and Saliency Detection (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (19 citations), Human-Computer Interaction (5 citations), Geology (2 citations), Industrial and Manufacturing Engineering (3 citations) and Computer Graphics and Computer-Aided Design (1 citation). Xiaqing Pan has collaborated with scholars based in United States. Frequent co-authors include Richard Newcombe, Nicholas E. Charron, Scott J. Peters, C.‐C. Jay Kuo, Yuheng Ren, Kong Chen, Omkar Parkhi, Thomas J. Whelan, Abhishek Agrawal and Ahmed Alkhateeb. Their work appears in journals such as Journal of Visual Communication and Image Representation and IEEE Open Journal of the Communications Society.

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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