Jiuqiang Tang

2 papers and 11 indexed citations i.

About

Jiuqiang Tang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Jiuqiang Tang has authored 2 papers receiving a total of 11 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Signal Processing. Recurrent topics in Jiuqiang Tang’s work include Advanced Image and Video Retrieval Techniques (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper) and Speech and Audio Processing (1 paper). Jiuqiang Tang is often cited by papers focused on Advanced Image and Video Retrieval Techniques (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper) and Speech and Audio Processing (1 paper). Jiuqiang Tang collaborates with scholars based in United States. Jiuqiang Tang's co-authors include Matthias Grundmann, Chuo-Ling Chang, Juhyun Lee, Yang Yang, Xing Li, Yunpeng Li and Yuhui Chen and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) and ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

In The Last Decade

Co-authorship network of co-authors of Jiuqiang Tang i

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.

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).

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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