Guangquan Cheng
About
Guangquan Cheng has authored 36 papers that have received a total of 421 indexed citations.
This includes 20 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Statistical and Nonlinear Physics. The topics of these papers are 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) and collaborates with scholars based in China, United States and Sweden. Guangquan Cheng's co-authors include Zhong Liu, Jincai Huang, Yanghe Feng, Zhong Liu and Changjun Fan and has published in prestigious journals such as IEEE Access, Information Sciences and IEEE Transactions on Cybernetics
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