| Reliability-based life-cycle management of highway bridges DM Frangopol, JS Kong, ES Gharaibeh Journal of computing in civil engineering 15 (1), 27-34, 2001 | 514 | 2001 |
| Life-cycle reliability-based maintenance cost optimization of deteriorating structures with emphasis on bridges JS Kong, DM Frangopol Journal of Structural Engineering 129 (6), 818-828, 2003 | 306 | 2003 |
| Quantitative risk evaluation based on event tree analysis technique: Application to the design of shield TBM ES Hong, IM Lee, HS Shin, SW Nam, JS Kong Tunnelling and Underground Space Technology 24 (3), 269-277, 2009 | 151 | 2009 |
| Cost–reliability interaction in life-cycle cost optimization of deteriorating structures JS Kong, DM Frangopol Journal of Structural Engineering 130 (11), 1704-1712, 2004 | 132 | 2004 |
| Reliability analysis of chloride penetration in saturated concrete JS Kong, AN Ababneh, DM Frangopol, Y Xi Probabilistic Engineering Mechanics 17 (3), 305-315, 2002 | 126 | 2002 |
| Evaluation of expected life-cycle maintenance cost of deteriorating structures JS Kong, DM Frangopol Journal of Structural Engineering 129 (5), 682-691, 2003 | 104 | 2003 |
| Seismic behavior of a buried gas pipeline under earthquake excitations DH Lee, BH Kim, H Lee, JS Kong Engineering structures 31 (5), 1011-1023, 2009 | 87 | 2009 |
| Probabilistic optimization of aging structures considering maintenance and failure costs JS Kong, DM Frangopol Journal of Structural Engineering 131 (4), 600-616, 2005 | 65 | 2005 |
| Prediction of reliability and cost profiles of deteriorating bridges under time-and performance-controlled maintenance JS Kong, DM Frangopol Journal of Structural Engineering 130 (12), 1865-1874, 2004 | 59 | 2004 |
| Optimal network-level bridge maintenance planning based on minimum expected cost DM Frangopol, ES Gharaibeh, JS Kong, M Miyake Transportation Research Record 1696 (1), 26-33, 2000 | 56 | 2000 |
| Bridge management based on lifetime reliability and whole life costing: The next generation DM Frangopol, JS Kong, ES Gharaibeh Bridge management 4: Inspection, maintenance, assessment and repair, 392-399, 2000 | 30 | 2000 |
| Fatigue life prediction of multiple site damage based on probabilistic equivalent initial flaw model JH Kim, G Zi, SN Van, MC Jeong, JS Kong, M Kim Structural Engineering and Mechanics 38 (4), 443, 2011 | 29 | 2011 |
| Sensitivity analysis in reliability-based lifetime performance prediction using simulation JS Kong, DM Frangopol Journal of Materials in Civil Engineering 17 (3), 296-306, 2005 | 24 | 2005 |
| A methodology for analyzing the variability in the performance of a MEMS actuator made from a novel ceramic JS Kong, DM Frangopol, M Raulli, K Maute, RA Saravanan, LA Liew, ... Sensors and Actuators A: Physical 116 (2), 336-344, 2004 | 24 | 2004 |
| Fatigue life prediction methodology using entropy index of stress interaction and crack severity index of effective stress J Kim, J Yi, J Kim, G Zi, JS Kong International Journal of Damage Mechanics 22 (3), 375-392, 2013 | 20 | 2013 |
| A real time human–machine interface for an ultrahigh temperature MEMS sensor–igniter JS Kong, K Maute, DM Frangopol, LA Liew, RA Saravanan, R Raj Sensors and Actuators A: Physical 105 (1), 23-30, 2003 | 15 | 2003 |
| Reliability-and cost-oriented optimal bridge maintenance planning DM Frangopol, M Miyake, JS Kong, ES Gharaibeh Advanced Technology in Structural Engineering, 1-8, 2000 | 11 | 2000 |
| Development of a probabilistic life-cycle cost model for marine structures exposed to chloride attack based on Bayesian approach using monitoring data H Jung, HM Park, JH Kim, G Kim, JS Kong KSCE Journal of civil engineering 17 (5), 1073-1082, 2013 | 10 | 2013 |
| The effect of compression stresses, stress level and stress order on fatigue crack growth of multiple site damage JH Kim, T Chau‐Dinh, G Zi, JS Kong Fatigue & Fracture of Engineering Materials & Structures 35 (10), 903-917, 2012 | 9 | 2012 |
| Bridge management based on reliability states and whole life cost: From theory to implementation DM Frangopol, JS Kong Structural Health Monitoring–The Demands and Challenges, 403-419, 2001 | 9 | 2001 |