Gangshan Jing
About
Gangshan Jing has authored 26 papers that have received a total of 413 indexed citations.
This includes 18 papers in Computer Networks and Communications, 9 papers in Computational Theory and Mathematics and 6 papers in Artificial Intelligence. The topics of these papers are Distributed Multi-Agent Coordination and Control (18 papers), Adaptive Dynamic Programming Control (8 papers) and Reinforcement Learning in Robotics (5 papers). Gangshan Jing is often cited by papers focused on Distributed Multi-Agent Coordination and Control (18 papers), Adaptive Dynamic Programming Control (8 papers) and Reinforcement Learning in Robotics (5 papers) and collaborates with scholars based in China, United States and Hong Kong. Gangshan Jing's co-authors include Long Wang, Ran Dai, Jemin George, Kaihong Lu and He Bai and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Transactions on Cybernetics.
In The Last Decade
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