Zhe Quan

About

Zhe Quan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Zhe Quan has authored 33 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 7 papers in Computer Networks and Communications. Recurrent topics in Zhe Quan’s work include Parallel Computing and Optimization Techniques (4 papers), Topic Modeling (4 papers) and Artificial Intelligence in Law (3 papers). Zhe Quan is often cited by papers focused on Parallel Computing and Optimization Techniques (4 papers), Topic Modeling (4 papers) and Artificial Intelligence in Law (3 papers). Zhe Quan collaborates with scholars based in China, New Zealand and United States. Zhe Quan's co-authors include Zhi-Jie Wang, Xuan Lin, Chu-Min Li, Xiangxiang Zeng, Huang Huang, Kenli Li, Zhijie Wang, Jian Yin, Song Guo and Ting Ye and has published in prestigious journals such as Expert Systems with Applications, Sensors and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Co-authorship network of co-authors of Zhe Quan i

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Fields of papers citing papers by Zhe Quan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Zhe Quan

Since Specialization

Citations

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