Guang-Tong Zhou

11 papers and 168 indexed citations i.

About

Guang-Tong Zhou is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Guang-Tong Zhou has authored 11 papers receiving a total of 168 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Epidemiology. Recurrent topics in Guang-Tong Zhou’s work include Image Retrieval and Classification Techniques (3 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Video Analysis and Summarization (2 papers). Guang-Tong Zhou is often cited by papers focused on Image Retrieval and Classification Techniques (3 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Video Analysis and Summarization (2 papers). Guang-Tong Zhou collaborates with scholars based in China, Canada and Australia. Guang-Tong Zhou's co-authors include Greg Mori, Zicheng Liao, Hexiang Hu, Zhiwei Deng, Fei Tony Liu, Kai Ming Ting, Yilong Yin, Swee Chuan Tan, Tian Lan and Arash Vahdat and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and Machine Learning.

In The Last Decade

Co-authorship network of co-authors of Guang-Tong Zhou i

Fields of papers citing papers by Guang-Tong Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guang-Tong Zhou. 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 Guang-Tong Zhou. The network helps show where Guang-Tong Zhou may publish in the future.

Countries citing papers authored by Guang-Tong Zhou

Since Specialization
Citations

This map shows the geographic impact of Guang-Tong Zhou'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 Guang-Tong Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guang-Tong Zhou 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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2025