Song Mao

20 papers and 296 indexed citations i.

About

Song Mao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Song Mao has authored 20 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 5 papers in Statistics and Probability. Recurrent topics in Song Mao’s work include Handwritten Text Recognition Techniques (8 papers), Statistical Distribution Estimation and Applications (4 papers) and IoT-based Smart Home Systems (3 papers). Song Mao is often cited by papers focused on Handwritten Text Recognition Techniques (8 papers), Statistical Distribution Estimation and Applications (4 papers) and IoT-based Smart Home Systems (3 papers). Song Mao collaborates with scholars based in China, United States and Taiwan. Song Mao's co-authors include Tapas Kanungo, Azriel Rosenfeld, Chenglin Zhao, Zheng Zhou, Yabin Ye, Yimin Shi, George R. Thoma, Lulu Zhang, Liang Wang and Philip Resnik and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Communications of the ACM.

In The Last Decade

Co-authorship network of co-authors of Song Mao i

Fields of papers citing papers by Song Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song Mao

Since Specialization
Citations

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