Jiuqiang Tang

461 citations
5 papers · 141 indexed · h-index 4
Topics
Generative Adversarial Networks and Image Synthesis (2 papers)Advanced Image and Video Retrieval Techniques (1 paper)Stochastic Gradient Optimization Techniques (1 paper)
Partner nations
United StatesFinland

In The Last Decade

Jiuqiang Tang

4 papers receiving 138 citations

Peers

Jiuqiang Tang
Comparison fields: 5 of 63
  • Computer Vision and Pattern Recognition 51
  • Human-Computer Interaction 42
  • Biomedical Engineering 28
  • Control and Systems Engineering 18
  • Cognitive Neuroscience 18
Replace Esha Uboweja with:
Esha Uboweja United States
Ming Yong China
Hadon Nash United States
Manfred Georg United States
Riku Arakawa United States
Heike Brock Japan
Mariko Isogawa Japan
Gerard Canal United Kingdom
Petra Gieselmann Germany
Gibran Benítez-García Japan
Jiuqiang Tang relative to Esha Uboweja United States Esha Uboweja's profile →
Citations per field
00.5×1.5×
Esha Uboweja · 1×
Citations per year

Countries citing papers authored by Jiuqiang Tang

Since Specialization
Citations

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

Fields of papers citing papers by Jiuqiang Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiuqiang Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Jiuqiang Tang. A scholar is included among the top collaborators of Jiuqiang Tang 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 Jiuqiang Tang. Jiuqiang Tang 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 7
3 23
4
MediaPipe: A Framework for Perceiving and Processing Reality
108
5
MediaPipe: A Framework for Perceiving and Augmenting Reality
3

About Jiuqiang Tang

Jiuqiang Tang is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Signal Processing, having authored 5 papers that have together received 141 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (2 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Stochastic Gradient Optimization Techniques (1 paper). The work is most often cited by research in Human-Computer Interaction (42 citations), Computer Vision and Pattern Recognition (51 citations) and Developmental and Educational Psychology (18 citations). Jiuqiang Tang has collaborated with scholars based in United States and Finland. Frequent co-authors include Matthias Grundmann, Chuo-Ling Chang, Camillo Lugaresi, Hadon Nash, Esha Uboweja, Manfred Georg, Ming Yong, Yuhui Chen, Juhyun Lee and Xing Li.

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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