Pengzhan Jin
About
Pengzhan Jin has authored 9 papers that have received a total of 288 indexed citations.
This includes 6 papers in Artificial Intelligence, 5 papers in Statistical and Nonlinear Physics and 2 papers in Computational Mechanics. The topics of these papers are Model Reduction and Neural Networks (5 papers), Neural Networks and Applications (4 papers) and Matrix Theory and Algorithms (2 papers). Pengzhan Jin is often cited by papers focused on Model Reduction and Neural Networks (5 papers), Neural Networks and Applications (4 papers) and Matrix Theory and Algorithms (2 papers) and collaborates with scholars based in China and United States. Pengzhan Jin's co-authors include Yifa Tang, George Em Karniadakis, Lu Lu and Shuai Meng and has published in prestigious journals such as Neural Networks, IEEE Transactions on Neural Networks and Learning Systems and SIAM Journal on Scientific Computing
In The Last Decade
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