88. Jonghwan Park, Do-Kyung Pyun, Jaesun Lee, Machine Learning Techniques for Insertion Loss Prediction Using Performance-Based Acoustic Models(Under review)
87. Junpil Park, Jaesun Lee, A Study on the Evaluation of Ultrasonic Propagation Properties and Nonlinearity According to Temperature Changes of Aluminium Alloys(Under review)
86. Ali Asad Raza, Mohammad Aslam, Jaesun Lee, Lamb Wave Phase Response Analysis for Defect Localization in Plate Structures (Under review)
85. Yongjoon Choi, Mohmmed Aslam, Jaesun Lee, Enhancing Disbond Detection in Adhesive Joints Using Nonlinear Guided Waves: Sensitivity Comparison of Quasistatic Components and Second Harmonics (Under review)
84. Kseniia Barashok, Jaesun Lee, Yeongil Choi, Jeongki Lee, Inho Cho, Deep Learning Based Automactic Defect Detection Approach from a Sequence of PAUT A-Scans, Journal of the Korean Society for Nondestructive Testing, 2025, Vol. 45, No. 5, pp. 404-413,
83. Kseniia Barashok, Jungin Choi, Jaesun Lee, Deep Learning-based approach for automatic defect detection in complex structures using PAUT data, Sensors, 2025, Vol. 25, No. 19, 6128, https://doi.org/10.3390/s25196128
82. Yongjoon Choi, Mohmmed Aslam, Jaesun Lee, Refrigerant Leakage Localization in Copper Pipeline Utilizing Count-Duration Features of Acoustic Emission Technique, International Journal of Refrigeration, 2025, https://doi.org/10.1016/j.ijrefrig.2025.09.008
81. Yujun Choi,Jaesun Lee,A Study on the Failure Cause Analysis and Structural Behavior Evaluation of a Chain Sling, Journal of the Korean Society of Manufacturing Process Engineers, 2025, Vol 24, No. 9, pp.43-52, https://doi.org/10.14775/ksmpe.2025.24.9.043
80. Yujun Choi, Jaesun Lee, Failure Mechanism and Structural Analysis of Chain Slings with Non-Standard Connections, Applied Sciences, 2025, 15, 7841. https://doi.org/10.3390/app15147841
79. Junyoung Ma, Junpil Park, Jaesun Lee, A Study on Ultrasonic Propagation Characteristics and Nonlinearity in Aluminum Alloys with Temperature Variation, Journal of the Korean Society for Nondestructive Testing, 2025, Vol. 45, No. 3, pp. 207-214, http://dx.doi.org/10.7779/JKSNT.2025.45.3.207
78. Soomin Lee, Yeongil Choi, Jonghwan Park, Jaesun Lee, CIVA Simulation-based Signal Analysis and Data Realization Method for PWSCC Detection, Journal of the Korean Society for Nondestructive Testing, 2025, Vol. 45, No. 3, pp. 198-206, http://dx.doi.org/10.7779/JKSNT.2025.45.3.198
77. Zhao Changzhi, Junpil Park, Mohammed Aslam, Jaesun Lee,Numerical Study on Guided-Wave Tomographic Imaging for Defect Localization in Plate Structure, Journal of the Korean Society for Nondestructive Testing, 2025, Vol. 45, No. 3, pp. 187-197,http://dx.doi.org/10.7779/JKSNT.2025.45.3.187
76. Boris I, Kseniia Barashok, Yongjoon Choi, Yeongil Choi, Mohammed Aslam, Jaesun Lee, Machine Learning Techniques in Ultrasonics-Based Defect Detection and Material Characterization: A Comprehensive Review, Advances in Mechanical Engineering, 2025, https://doi.org/10.1177/16878132251347390
75. Suksan Ok, Yeongil Choi, Yongjoon Choi, Aram Son, Hyojoon Kim, Jaesun Lee, Structural health monitoring study of hydraulic excavator frame by using acoustic emission testing, Journal of Drive and Control, 2025, Vol. 22, No. 2, pp.1-7, http://dx.doi.org/10.7839/ksfc.2025.22.2.001
74. Yu-Jun Choi, Jaesun Lee, Fatigue Life and Fatigue Fracture Analysis of a Jib Crane Using Finite Element Analysis, Journal of the Korean Society of Manufacturing Process Engineers, 2025, Vol. 24, No. 6, pp. 19~28,https://doi.org/10.14775/ksmpe.2025.24.6.019
73. Mohammed Aslam, Boris I, Jaesun Lee, Eliminating PZT-Induced Harmonics with Metafilters for Enhanced nonlinear Guided wave-based structural health monitoring, Mechanical Systems and Signal Processing, 2025, Vol. 235, 15, https://doi.org/10.1016/j.ymssp.2025.112885(IF=7.9, Q1, Top 2.5%)
72. Yongjun Choi, Mohmmed Aslam, Jaesun Lee, Numerical Analysis of Adhesive Joint Defects in Layered StructuresBased on Quasistatic Components of Nonlinear Guided Waves, Journal of the Korean Society for Nondestructive Testing, 2025, Vol. 45, No.2, pp.127-135,http://dx.doi.org/10.7779/JKSNT.2025.45.2.127
71. John Stephen Mario, Parvez Alam, Jaesun Lee, S. R. Manam, Green’s function approach to determine the impact of disturbance source on SH-wave regulation in the piezoelectric layer over FGTI substrate, Engineering Computations, 2025, Vol. 42, No.3, pp.1097-1121, https://doi.org/10.1108/EC-07-2024-0626 (IF=1.5, Q2)
70. Mohammed Aslam, Boris I, Jaesun Lee, Numerical Investigation of Bandgap Characteristics in Integrated Metallic Metafilters for Nonlinear Guided Wave Applications, APL Materials, 2024, https://doi.org/10.1063/5.0219860(IF= 5.3, Q1, Top 21%)
69. Mohammed Aslam, Jaesun Lee, Nonlinear Guided Wave Mixing in Thin Plate Weld Joint for Detection of Material nonlinearity, Thin-Walled Structures, 2024, https://doi.org/10.1016/j.tws.2024.112428 (IF=5.7, Q1, Top 5%)
68. Mohammed Aslam, Yeongil Choi, Jaesun Lee, Enhancing Structural Integrity of Refractories During Manufacturing Through Integration of UPV and Acoustic Nonlinearity Measurements, Nondestructive Testing and Evaluation, 2024, https://doi.org/10.1080/10589759.2024.2385073 (IF=3.0, Q1, Top 23%)
67. Sunil Kumar Sharma, Rakesh Chandmal Sharma, Ismail Hossain, Shruti Mohapatra, Ahmed Fouly, Jaesun Lee, Technological Advancements in Oscillation Reduction for Propulsion Shaft Systems, Journal of Vibration Engineering & Technologies, 2024, https://doi.org/10.1007/s42417-024-01503-z (IF=2.1, Q2, Top 46%)
66. Yeongil Choi, Soomin Lee, Jaesun Lee, Development of an Algorithm for the Analysis of Phased Array Ultrasonic Testing Images of KR60 Rails via Deep Learning, Journal of the Korean Society for Nondestructive Testing, 2024, Vol. 44, No.3, pp.191-197, http://dx.doi.org/10.7779/JKSNT.2024.44.3.191
65. Soomin Lee, Hojun Son, Jaesun Lee, Development of CNN-BAsed System for Real-Time Process Monitoring and Anomaly Detection in CNC Welding Robots, Journal of the Korean Society for Nondestructive Testing, 2024, Vol. 44, No.3, pp.180-190, http://dx.doi.org/10.7779/JKSNT.2024.44.3.180
64. Yonghee Lee, Jiyoung Hong, Jaesun Lee, Assessing Micro Wall-Thinning Damage in Aluminum Frames of Subsonic Speed Vehicles: A Comprehensive Approach Integrating Higher - Order Harmonic Nonlinear Guided Wave Analysis and Convolutional Neural Networks, Journal of the Korean Society for Nondestructive Testing, 2024, Vol. 44, No. 2, pp. 132-141, http://dx.doi.org/10.7779/JKSNT.2024.44.2.132
63. Sunil Kumar Sharma, Rakesh Chandmal Sharma, Jaesun Lee, Propelling precision of longitudinal vibration mitigation in ship propeller shafts through advanced nonlinear intelligent semi-active control leveraging adaptive neuro-fuzzy inference system with linear quadratic regulator, Journal of Vibration and Control, 2024, https://doi.org/10.1177/10775463241244836 (IF=2.3, Q2, Top 35%)
62. Sunil Kumar Sharma, Naresh Kumar, Mohd Avesh, Rakesh Chandmal Sharma, Md Irfanul Haque Siddiqui, Jaesun Lee, Navigating Tranquillity with H∞ Controller to mitigate Ship Propeller Shaft Vibration, Journal of Vibration Engineering & Technologies, 2024, https://doi.org/10.1007/s42417-024-01340-0 (IF=2.1, Q2, Top 46%)
61. Sunil Kumar Sharma, Rakesh Chandmal Sharma, Ram Krishna Upadhyay, Jaesun Lee, Enhanced Ship Engine Vibration Reduction using Magnetorheological Dampers and Adaptive Neuro-Fuzzy Control System, Ships and Offshore Structures, 2024, https://doi.org/10.1080/17445302.2024.2335449 (IF=1.7, Q2, Top 46%)
60. Sunil Kumar Sharma, Rakesh Chandmal Sharma, Jaesun Lee, Modelling and simulation of MR damper characterization and uncertainty assessment in marine engine vibration isolation with FLPID control, International Journal of Modelling and Simulation, 2024, https://doi.org/10.1080/02286203.2024.2327465 (IF=3.1, Q1, Top 14%)
59. Boris I, Jaesun Lee, Numerical and Experimental Study of Low-Frequency Membrane Damper for Tube Vibration Suppression, actuators, 2024, Vol. 13, No. 3:106, https://doi.org/10.3390/act13030106 (IF=2.2, Q2, Top 40%)
58. Hyeonsu Song, Junpil Park, Yeongil Choi, Soomin Lee, Jaesun Lee, Analysis of Ultrasonic Wave Propagation Characteristics of 3D Printer Products and Comparative Analysis of Ultrasonic Defect Classification Capabilities of Deep Learning Algorithms, Journal of the Korean Society for Nondestructive Testing, 2024, Vol. 44, No. 1, pp.30-42, http://dx.doi.org/10.7779/JKSNT.2024.44.1.30
57. Mohammed Aslam, Junpil Park, Jaesun Lee, A Comprehensive Study on Guided wave Dispersion curve in Complex Structure, International Journal of Mechanical Sciences, 2024, Vol. 269, https://doi.org/10.1016/j.ijmecsci.2024.109089 (IF=7.1, Q1, Top 3%)
56. Sunil Kumar Sharma, Rakesh Chandmal Sharma, Ram Krishna Upadhyay, Jaesun Lee, Coupled Torsional–Transverse Vibration Reduction in Marine Propulsion Dynamics with Novel Approach Using Magnetorheological Damping and Adaptive Control System, Journal of Vibration Engineering & Technologies, 2024. https://doi.org/10.1007/s42417-023-01239-2 (IF=2.1, Q2, Top 46%)
55. Mikhail Sergeevich Vechera, Sergey Ilich Konovalov, Roman Sergeevich Konovalov, Boris I, Valery Mikhailovich Tsaplev, Alina Dmitrievna Soloveva, Jaesun Lee, Assessment of the Influence of the Geometrical Shape of the Damper on the Efficiency of an Ultrasonic Operation Piezoelectric Transducer, Sensors, 2023. Vol.23, No. 24: 9662, https://doi.org/10.3390/s23249662 (IF=3.4, Q2, Top 25%)
54. Yonghee Lee, Jiyoung Hong, Jaesun Lee, Junpil Park, Yeongil Choi, Nondestructive Evaluation Technique for Subsonic Speed Vehicle Frame Plate Wall-thinning using Guided Wave and Ultrasonic Vibration Analyses, Journal of the Korean Society for Nondestructive Testing, 2023, Vol. 43, No. 5, pp. 377-385, http://dx.doi.org/10.7779/JKSNT.2023.43.5.377
53. Boris I, Jaesun Lee, Analysis of the interaction between torsion wave and phononic crystal in pipes, AIP advances, 2023, Vol.13, No.10, https://doi.org/10.1063/5.0160973(IF=1.4, Q4, Top 81%)
52. Sunil Kumar Sharma, Rakesh Chandmal Sharma, Yeongil Choi, Jaesun Lee, Modelling and Dynamic Analysis of Adaptive Neuro-Fuzzy Inference System-Based Intelligent Control Suspension System for Passenger Rail Vehicles Using Magnetorheological Damper for Improving Ride Index, Sustainability, 2023, Vol. 15, No. 16: 12529, https://doi.org/10.3390/su151612529(IF=3.9, Q2, Top 38%)
51. Boris I, Jaesun Lee, Use of periodic structures for mode transformation in cylindrical objects. Papers of the ECNDT 2023. Research and Review Journal of Nondestructive Testing, 2023, Vol. 1(1). https://doi.org/10.58286/28123(IF=1.6, Q4, Top 76%)
50. Jaesun Lee, Mohammed Aslam, A study on the wave propagation on weld joints by the use of feature-guided wave mixing. Papers of the ECNDT 2023. Research and Review Journal of Nondestructive Testing, 2023, Vol. 1(1). https://doi.org/10.58286/28151
49. Yeongil Choi, Hyeonsu Song, Junpil Park, Jaesun Lee, Hybrid system development and application research for refrigerant leak inspection. Papers of the ECNDT 2023. Research and Review Journal of Nondestructive Testing,2023, Vol. 1(1). https://doi.org/10.58286/28165
48. Kseniia Barashok, Boris I, Jaesun Lee, Deep learning algorithms for design of periodic structures and dispersion curves calculation. Papers of the ECNDT 2023. Research and Review Journal of Nondestructive Testing,2023, Vol. 1(1). https://doi.org/10.58286/28162
47. Soomin Lee, Junpil Park, Hunhee Kim, Jaeseok Park, Jaesun Lee, A Study on Deep Learning-based Defect Analysis Using TOFD Signal on CRDM Nozzle, Journal of the Korean Society for Nondestructive Testing, 2023, Vol. 43, No. 4: 249-258, http://dx.doi.org/10.7779/JKSNT.2023.43.4.249(Best Paper Award)
46. Seo-Hyeon Kim, Jong-Won Son, Yeongil Choi, Jaesun Lee, Performance Analysis of the Bottom Plate of a Smart Shoe Cleaner Based on FE Analysis, Journal of the Korean Society of Manufacturing Process Engineers, 2023, Vol. 22, No. 7, pp. 70-77, https://doi.org/10.14775/ksmpe.2023.22.07.070
45. Hyeonsu Song, Junpil Park, Yeongil Choi, Jaesun Lee,Analysis of Ultrasonic Propagation Characteristics of Metal 3D Printed Products and Defect Classification through Transfer Learning, Journal of the Korean Society for Nondestructive Testing, 2023, Vol. 43, No. 3, pp. 175-184,http://dx.doi.org/10.7779/JKSNT.2023.43.3.175
44. Junpil Park, Mohammed Aslam, Jaesun Lee, Ultrasonic Nonlinearity Experiment due to Plastic Deformation of Aluminum Plate Due to Bending Damage,Materials, 2023, 16, 12, 4241,https://doi.org/10.3390/ma16124241 (IF=3.748, Q1, Top 23%)
43.Sunil Kumar Sharma, Rakesh Chandmal Sharma, Yeongil Choi, Jaesun Lee, Experimental and mathematical Study of Flexible-Rigid Rail Vehicle, Applied Sciences, 2023, 13,9, 5252, https://doi.org/10.3390/app1309525(IF=2.838, Q2)
42. Junpil Park, Sunho Choi, Seoung ho Baek, Sang hu Park, Yu-Hsi Huang, Jaesun Lee, An Investigation of the Properties of 3D Printing Materials According to Additive Manufacturing Conditions using Ultrasonic Wave, International Journal of Precision Engineering and Manufacturing, 2023, https://doi.org/10.1007/s12541-023-00801-y(IF=2.041, Q3, Top 59%)
41. Kseniia Barashok, Junpil Park, Jaesun Lee, Deep learning algorithms for defect detection using phased array ultrasonic testing data, Journal of the Korean Society for Nondestructive Testing, 2023, Vol. 43, No. 1, pp. 34-43, http://dx.doi.org/10.7779/JKSNT.2023.43.1.34
39. Boris I, JaesunLee, Influence of periodic structure with a different shape element on the torsional wave. Singapore International NDT Conference & Exhibition, November 2022. e-Journal of Nondestructive Testing Vol. 27(12). https://doi.org/10.58286/27557
38. Yeongil Choi, Junpil Park, Juyeop Park, Donghoon Kang, Jaesun Lee, A study on Ultrasonic Propagation Characteristics with respect to the Thickness of the Thermal Insulation Paint Coated on the Rail, Journal of the Korean Society for Nondestructive Testing, 2022, Vol. 42, No. 6, pp. 462-468, http://dx.doi.org/10.7779/JKSNT.2022.42.6.462
37. Boris I, Junpil Park, Jaeusn Lee, The effect of a periodic structure on the propagation of torsional wave, Journal of the Korean Society for Nondestructive Testing, 2022, Vol. 42, No. 5, pp. 355-360, http://dx.doi.org/10.7779/JKSNT.2022.42.5.355
36. Sunil Kumar Sharma, Jaesun Lee, Hong-Lae Jang, Mathematical Modeling and Simulation of Suspended Equipment Impact on Car Body Modes, Machines, 2022, Vol. 10, No. 3, 192, https://doi.org/10.3390/machines10030192(IF=2.428, Q2, Top 45%)
35. Sunil Kumar Sharma, Rakesh Chandmal Sharma, Jaesun Lee, Hong-Lae Jang, Numerical and Experimental Analysis of DVA on the Flexible-Rigid Rail Vehicle Carbody Resonant Vibration. Sensors,2022, Vol. 22, No. 5, 1922, https://doi.org/10.3390/s22051922(IF=3.576, Q1, Top 21%)
34. Sunil Kumar Sharma, Rakesh Chandmal Sharma, Jaesun Lee, In situ and experimental analysis of longitudinal load on carbody fatigue life using nonlinear damage accumulation, International Journal of Damage Mechanics,2022, Vol. 31, No. 4, pp. 605-622, https://doi.org/10.1177/10567895211046043(IF=5.029, Q1, Top 11%)
33. Junpil Park, Jeongseok Choi, Jaesun Lee, A Feasibility Study for a Nonlinear Guided Wave Mixing Technique, Applied Sciences, 2021, Vol. 11, No. 14, 6569,https://doi.org/10.3390/app11146569 (IF=2.679, Q2)
32. Sunho Choi, Junpil Park, Jaesun Lee, A study on the correlation between ultrasonic velocity and stacking thickness of 3D printed specimens, Journal of the Korean Society for Nondestructive Testing, 2021, Vol. 41, No. 2: 102-109, http://dx.doi.org/10.7779/JKSNT.2021.41.2.102
31. Sunil Kumar Sharma, Jaesun Lee, Crashworthiness Analysis for Structural Stabilityand Dynamics, International Journal of Structural Stability and Dynamics, 2021, Vol. 21, No. 4, 2150039, https://10.1142/S0219455421500395(IF=2.558, Q2)
30. Sunil Kumar Sharma, Junpil Park, Jaesun Lee, Positioning of Substructures to Reduce Vibration of Railway Vehicles, Journal of the Korean Society for Railway, 2021, Vol. 24, No. 1, pp. 28-37, https://doi.org/10.7782/JKSR.2021.24.1.28