Fengchun Qiao

555 citations
5 papers · 27 indexed · h-index 4
Topics
Face recognition and analysis (3 papers)Generative Adversarial Networks and Image Synthesis (2 papers)Face and Expression Recognition (2 papers)
Journals
Computer Animation and Virtual WorldsarXiv (Cornell University)
Partner nations
ChinaUnited States

In The Last Decade

Fengchun Qiao

4 papers receiving 27 citations

Peers

Fengchun Qiao
Comparison fields: 5 of 14
  • Computer Vision and Pattern Recognition 22
  • Artificial Intelligence 7
  • Experimental and Cognitive Psychology 4
  • Control and Systems Engineering 3
  • Cognitive Neuroscience 3
Replace Jacqueline Pan with:
Jacqueline Pan United Kingdom
Deniz Oktay United States
Haojie Li China
Matt Botvinick United States
Guillaume Dollé France
Mikel Bober-Irizar United Kingdom
Bon-Seok Koo South Korea
Y. Zhou China
Fengchun Qiao relative to Jacqueline Pan United Kingdom Jacqueline Pan's profile →
Citations per field
00.5×1.5×
Jacqueline Pan · 1×
Citations per year

Countries citing papers authored by Fengchun Qiao

Since Specialization
Citations

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

Fields of papers citing papers by Fengchun Qiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengchun Qiao

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

All Works

5 of 5 papers shown
#WorkIndexed citations
1 0
2 4
3
Geometry-Contrastive Generative Adversarial Network for Facial Expression Synthesis
12
4 7
5 4

About Fengchun Qiao

Fengchun Qiao is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Artificial Intelligence, having authored 5 papers that have together received 27 indexed citations. Recurring topics across this work include Face recognition and analysis (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Face and Expression Recognition (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (22 citations), Experimental and Cognitive Psychology (4 citations) and Signal Processing (3 citations). Fengchun Qiao has collaborated with scholars based in China and United States. Frequent co-authors include Hongan Wang, Zhihao Li, Hui Chen, Li Tang, Zhihao Li, Xi Peng, Hui Chen and Hui Chen. Their work appears in journals such as Computer Animation and Virtual Worlds and arXiv (Cornell University).

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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