| Multiple crack detection of concrete structures using impedance-based structural health monitoring techniques S Park, S Ahmad, CB Yun, Y Roh Experimental mechanics 46, 609-618, 2006 | 361 | 2006 |
| PZT-based active damage detection techniques for steel bridge components S Park, CB Yun, Y Roh, JJ Lee Smart Materials and Structures 15 (4), 957, 2006 | 259 | 2006 |
| Impedance-based structural health monitoring incorporating neural network technique for identification of damage type and severity J Min, S Park, CB Yun, CG Lee, C Lee Engineering Structures 39, 210-220, 2012 | 226 | 2012 |
| Electro-Mechanical Impedance-Based Wireless Structural Health Monitoring Using PCA-Data Compression and k-means Clustering Algorithms S Park, JJ Lee, CB Yun, DJ Inman Journal of intelligent material systems and structures 19 (4), 509-520, 2008 | 222 | 2008 |
| Automated impedance-based structural health monitoring incorporating effective frequency shift for compensating temperature effects KY Koo, S Park, JJ Lee, CB Yun Journal of intelligent material systems and structures 20 (4), 367-377, 2009 | 173 | 2009 |
| Conceptual framework of an intelligent decision support system for smart city disaster management D Jung, V Tran Tuan, D Quoc Tran, M Park, S Park Applied Sciences 10 (2), 666, 2020 | 121 | 2020 |
| Health monitoring of steel structures using impedance of thickness modes at PZT patches S Park, CB Yun, Y Roh, JJ Lee Smart Structures and Systems 1 (4), 339-353, 2005 | 121 | 2005 |
| Sensor self-diagnosis using a modified impedance model for active sensing-based structural health monitoring S Park, G Park, CB Yun, CR Farrar Structural Health Monitoring 8 (1), 71-82, 2009 | 103 | 2009 |
| Impedance-based wireless debonding condition monitoring of CFRP laminated concrete structures S Park, JW Kim, C Lee, SK Park NDT & E International 44 (2), 232-238, 2011 | 102 | 2011 |
| Wireless impedance sensor nodes for functions of structural damage identification and sensor self-diagnosis S Park, HH Shin, CB Yun Smart Materials and Structures 18 (5), 055001, 2009 | 92 | 2009 |
| Magnetic flux leakage sensing and artificial neural network pattern recognition-based automated damage detection and quantification for wire rope non-destructive evaluation JW Kim, S Park Sensors 18 (1), 109, 2018 | 91 | 2018 |
| Structural health monitoring using electro‐mechanical impedance sensors S Park, CB Yun, DJ Inman Fatigue & Fracture of Engineering Materials & Structures 31 (8), 714-724, 2008 | 89 | 2008 |
| A study on data visualization of embedded sensors for building energy monitoring using BIM D Lee, G Cha, S Park International journal of precision engineering and manufacturing 17, 807-814, 2016 | 83 | 2016 |
| Magnetic Flux Leakage Sensing‐Based Steel Cable NDE Technique S Park, JW Kim, C Lee, JJ Lee Shock and Vibration 2014 (1), 929341, 2014 | 82 | 2014 |
| Impedance-based structural health monitoring using neural networks for autonomous frequency range selection J Min, S Park, CB Yun Smart Materials and Structures 19 (12), 125011, 2010 | 81 | 2010 |
| An outlier analysis of MFC-based impedance sensing data for wireless structural health monitoring of railroad tracks S Park, DJ Inman, CB Yun Engineering Structures 30 (10), 2792-2799, 2008 | 76 | 2008 |
| Wildfire-detection method using DenseNet and CycleGAN data augmentation-based remote camera imagery M Park, DQ Tran, D Jung, S Park Remote Sensing 12 (22), 3715, 2020 | 74 | 2020 |
| Development of a low-cost multifunctional wireless impedance sensor node J Min, S Park, CB Yun, B Song Smart Struct. Syst 6 (5-6), 689-709, 2010 | 72 | 2010 |
| Damage-map estimation using UAV images and deep learning algorithms for disaster management system DQ Tran, M Park, D Jung, S Park Remote Sensing 12 (24), 4169, 2020 | 68 | 2020 |
| MFC-based structural health monitoring using a miniaturized impedance measuring chip for corrosion detection S Park, BL Grisso, DJ Inman, CB Yun Research in Nondestructive Evaluation 18 (2), 139-150, 2007 | 66 | 2007 |
Junkyeong KimAdvanced Institute of Convergence TechnologyE-mail megerősítve itt: snu.ac.kr