| Human activity classification based on micro-Doppler signatures using a support vector machine Y Kim, H Ling IEEE Transactions on Geoscience and Remote Sensing 47 (5), 1328-1337, 2009 | 1016 | 2009 |
| Human detection and activity classification based on micro-Doppler signatures using deep convolutional neural networks Y Kim, T Moon IEEE Geoscience and Remote Sensing Letters 13 (1), 8-12, 2015 | 685 | 2015 |
| Hand gesture recognition using micro-Doppler signatures with convolutional neural network Y Kim, B Toomajian IEEE Access 99, 2016 | 428 | 2016 |
| Investigation of adaptive matching methods for near-field wireless power transfer J Park, Y Tak, Y Kim, Y Kim, S Nam IEEE Transactions on Antennas and Propagation 59 (5), 1769-1773, 2011 | 236 | 2011 |
| Human detection using Doppler radar based on physical characteristics of targets Y Kim, S Ha, J Kwon IEEE Geoscience and Remote Sensing Letters 12 (2), 289-293, 2014 | 235 | 2014 |
| Simulation and analysis of human micro-Dopplers in through-wall environments SS Ram, C Christianson, Y Kim, H Ling IEEE Transactions on Geoscience and Remote Sensing 48 (4), 2015-2023, 2010 | 184 | 2010 |
| Application of linear predictive coding for human activity classification based on micro-Doppler signatures RJ Javier, Y Kim IEEE Geoscience and Remote Sensing Letters 11 (10), 1831-1834, 2014 | 154 | 2014 |
| Micro-Doppler based classification of human aquatic activities via transfer learning of convolutional neural networks J Park, RJ Javier, T Moon, Y Kim Sensors 16 (12), 1990, 2016 | 138 | 2016 |
| Human activity classification based on micro-Doppler signatures using an artificial neural network Y Kim, H Ling 2008 IEEE antennas and propagation society international symposium, 1-4, 2008 | 119 | 2008 |
| Application of artificial neural networks to broadband antenna design based on a parametric frequency model Y Kim, S Keely, J Ghosh, H Ling IEEE Transactions on Antennas and Propagation 55 (3), 669-674, 2007 | 111 | 2007 |
| Application of ultra-wide band radar for classification of human activities JD Bryan, J Kwon, N Lee, Y Kim IET Radar, Sonar & Navigation 6 (3), 172-179, 2012 | 99 | 2012 |
| Generative adversarial networks for classification of micro-Doppler signatures of human activity I Alnujaim, D Oh, Y Kim IEEE Geoscience and Remote Sensing Letters, 2019 | 80 | 2019 |
| Investigation of coupled mode behaviour of electrically small meander antennas Y Kim, H Ling Electronics Letters 43 (23), 1250-1252, 2007 | 76 | 2007 |
| Human activity classification based on point clouds measured by millimeter wave MIMO radar with deep recurrent neural networks Y Kim, I Alnujaim, D Oh IEEE Sensors Journal 21 (12), 13522-13529, 2021 | 74 | 2021 |
| Application of Doppler radar for the recognition of hand gestures using optimized deep convolutional neural networks Y Kim, B Toomajian 2017 11th European conference on antennas and propagation (EUCAP), 1258-1260, 2017 | 63 | 2017 |
| Human activity classification with transmission and reflection coefficients of on-body antennas through deep convolutional neural networks Y Kim, Y Li IEEE Transactions on Antennas and Propagation 65 (5), 2764-2768, 2017 | 62 | 2017 |
| Detection of eye blinking using Doppler sensor with principal component analysis Y Kim IEEE Antennas and Wireless Propagation Letters 14, 123-126, 2014 | 54 | 2014 |
| Hand Gesture Recognition Using Input Impedance Variation of Two Antennas with Transfer Learning I Alnujaim, H Alali, F Khan, Y Kim IEEE Sensors Journal 18 (10), 4129 - 4135, 2018 | 53 | 2018 |
| Through-wall remote human voice recognition using Doppler radar with transfer learning R Khanna, D Oh, Y Kim IEEE Sensors Journal 19 (12), 4571 - 4576, 2019 | 46 | 2019 |
| Linearized mixer using predistortion technique Y Kim, Y Kim, S Lee IEEE Microwave and Wireless Components Letters 12 (6), 204-205, 2002 | 45 | 2002 |
Hao LingProfessor of Electrical and Computer Engineering, The University of Texas at AustinVerified email at ece.utexas.edu
