Quanming Yao

74 papers and 2.9k indexed citations i.

About

Quanming Yao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Quanming Yao has authored 74 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 33 papers in Computer Vision and Pattern Recognition and 14 papers in Computational Mechanics. Recurrent topics in Quanming Yao’s work include Advanced Graph Neural Networks (23 papers), Sparse and Compressive Sensing Techniques (14 papers) and Topic Modeling (13 papers). Quanming Yao is often cited by papers focused on Advanced Graph Neural Networks (23 papers), Sparse and Compressive Sensing Techniques (14 papers) and Topic Modeling (13 papers). Quanming Yao collaborates with scholars based in China, Hong Kong and Australia. Quanming Yao's co-authors include James T. Kwok, Yaqing Wang, Lionel M. Ni, Bo Han, Ivor W. Tsang, Masashi Sugiyama, Gang Niu, Xingrui Yu, Miao Xu and Weihua Hu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and ACM Computing Surveys.

In The Last Decade

Co-authorship network of co-authors of Quanming Yao i

Fields of papers citing papers by Quanming Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Quanming Yao

Since Specialization
Citations

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