Quanli Gao

18 papers and 94 indexed citations i.

About

Quanli Gao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Quanli Gao has authored 18 papers receiving a total of 94 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 5 papers in Computer Networks and Communications. Recurrent topics in Quanli Gao’s work include Gesture Recognition in Human-Computer Interaction (5 papers), Advanced Graph Neural Networks (4 papers) and Recommender Systems and Techniques (4 papers). Quanli Gao is often cited by papers focused on Gesture Recognition in Human-Computer Interaction (5 papers), Advanced Graph Neural Networks (4 papers) and Recommender Systems and Techniques (4 papers). Quanli Gao collaborates with scholars based in China, United States and United Kingdom. Quanli Gao's co-authors include Ling Gao, Rui Chen, Qingyi Hua, Xiang Ji, Bo Wang, Xu Zhao, Guangqiu Huang, Maozhen Li, Jie Zheng and Jianping Fan and has published in prestigious journals such as Sensors, IEEE Access and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Quanli Gao i

Fields of papers citing papers by Quanli Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Quanli Gao

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025