Hangyu Mao

17 papers and 158 indexed citations i.

About

Hangyu Mao is a scholar working on Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Hangyu Mao has authored 17 papers receiving a total of 158 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Hangyu Mao’s work include Reinforcement Learning in Robotics (8 papers), Complex Network Analysis Techniques (2 papers) and Digital Transformation in Industry (2 papers). Hangyu Mao is often cited by papers focused on Reinforcement Learning in Robotics (8 papers), Complex Network Analysis Techniques (2 papers) and Digital Transformation in Industry (2 papers). Hangyu Mao collaborates with scholars based in China, Hong Kong and Sweden. Hangyu Mao's co-authors include Zhen Xiao, Ni Yan, Bin He, Jianye Hao, Zhengchao Zhang, Dong Li, Jun Luo, Jun Wang, Wulong Liu and Yu Liu and has published in prestigious journals such as IEEE Transactions on Cybernetics, Neurocomputing and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

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

Fields of papers citing papers by Hangyu Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hangyu Mao

Since Specialization
Citations

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