David Hong
About
David Hong has authored 19 papers that have received a total of 229 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, Z. Morley Mao, Edgar Dobriban and Tamara G. Kolda and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and IEEE Transactions on Information Theory.
In The Last Decade
Explore authors with similar magnitude of impact
Top authors papers by Adrien Lefieux are co-authored with Top countries impacted by papers by Kenneth S. Kaminsky Top journals papers by Elisabeth Roider are published in Top fields papers by Tamar Icekson are about Top fields papers by Edward K. Sarkisyan-Grinbaum are about Top fields papers by Matías L. Taglioretti are about Top countries impacted by papers by Pengfei Leng Top fields papers by Meghan E. Hollis are about