Feng Mao

31 papers and 299 indexed citations i.

About

Feng Mao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Feng Mao has authored 31 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Networks and Communications. Recurrent topics in Feng Mao’s work include Multimodal Machine Learning Applications (4 papers), Advanced Neural Network Applications (4 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Feng Mao is often cited by papers focused on Multimodal Machine Learning Applications (4 papers), Advanced Neural Network Applications (4 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Feng Mao collaborates with scholars based in China, United States and Singapore. Feng Mao's co-authors include Qingquan Luo, Zhengping Ding, Liqiang Qian, Hui Zhang, Jia Huang, Jiahuan Lu, Da Chen, Hui Xue, Yuan He and Yi Liu and has published in prestigious journals such as IEEE Transactions on Image Processing, Sensors and Sustainability.

In The Last Decade

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

Fields of papers citing papers by Feng Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Feng Mao

Since Specialization
Citations

This map shows the geographic impact of Feng 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 Feng Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng 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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2025