David Hong
About
David Hong has authored 18 papers that have received a total of 227 indexed citations.
This includes 7 papers in Computational Mechanics, 4 papers in Artificial Intelligence and 3 papers in Electrical and Electronic Engineering. The topics of these papers are Sparse and Compressive Sensing Techniques (6 papers), Model Reduction and Neural Networks (3 papers) and Tensor decomposition and applications (3 papers). David Hong is often cited by papers focused on Sparse and Compressive Sensing Techniques (6 papers), Model Reduction and Neural Networks (3 papers) and Tensor decomposition and applications (3 papers) and collaborates with scholars based in United States, China and The Gambia. David Hong's co-authors include Jeffrey A. Fessler, Laura Balzano, Edgar Dobriban, Tamara G. Kolda and Brian Cleary and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and IEEE Transactions on Information Theory
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