Hua Mao

44 papers and 730 indexed citations i.

About

Hua Mao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, Hua Mao has authored 44 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 10 papers in Media Technology. Recurrent topics in Hua Mao’s work include Face and Expression Recognition (10 papers), Remote-Sensing Image Classification (7 papers) and Sparse and Compressive Sensing Techniques (5 papers). Hua Mao is often cited by papers focused on Face and Expression Recognition (10 papers), Remote-Sensing Image Classification (7 papers) and Sparse and Compressive Sensing Techniques (5 papers). Hua Mao collaborates with scholars based in China, United Kingdom and United States. Hua Mao's co-authors include Yi Zhang, Jie Chen, Dezhong Peng, Tao He, Robert E. Gawley, Shengxiang Yang, Zhu Wang, Yongsheng Sang, Jixiang Guo and Manfred Jaeger and has published in prestigious journals such as IEEE Transactions on Image Processing, The Journal of Organic Chemistry and International Journal of Remote Sensing.

In The Last Decade

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

Fields of papers citing papers by Hua Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hua Mao

Since Specialization
Citations

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