Yao Ming

23 papers and 410 indexed citations i.

About

Yao Ming is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yao Ming has authored 23 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computational Theory and Mathematics, 10 papers in Artificial Intelligence and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yao Ming’s work include Graph Labeling and Dimension Problems (11 papers), Data Visualization and Analytics (6 papers) and Graph theory and applications (5 papers). Yao Ming is often cited by papers focused on Graph Labeling and Dimension Problems (11 papers), Data Visualization and Analytics (6 papers) and Graph theory and applications (5 papers). Yao Ming collaborates with scholars based in China, Hong Kong and United States. Yao Ming's co-authors include Huamin Qu, Enrico Bertini, Yangqiu Song, Ruixiang Zhang, Zhen Li, Yuanzhe Chen, Shaozu Cao, Bing Yao, Liu Ren and Panpan Xu and has published in prestigious journals such as Information Sciences, IEEE Transactions on Visualization and Computer Graphics and Advanced materials research.

In The Last Decade

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

Fields of papers citing papers by Yao Ming

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yao Ming

Since Specialization
Citations

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