Guangquan Cheng

36 papers and 499 indexed citations i.

About

Guangquan Cheng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Guangquan Cheng has authored 36 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in Guangquan Cheng’s work include Reinforcement Learning in Robotics (6 papers), Complex Network Analysis Techniques (6 papers) and Advanced Graph Neural Networks (5 papers). Guangquan Cheng is often cited by papers focused on Reinforcement Learning in Robotics (6 papers), Complex Network Analysis Techniques (6 papers) and Advanced Graph Neural Networks (5 papers). Guangquan Cheng collaborates with scholars based in China, United States and Macao. Guangquan Cheng's co-authors include Zhong Liu, Changjun Fan, Yanghe Feng, Yan Zhang, Muhao Chen, Zhihao Luo, Jianmai Shi, Jincai Huang, Liu Hong and Linghuan Kong and has published in prestigious journals such as IEEE Access, Information Sciences and IEEE Transactions on Cybernetics.

In The Last Decade

Co-authorship network of co-authors of Guangquan Cheng i

Fields of papers citing papers by Guangquan Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Guangquan Cheng

Since Specialization
Citations

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