| Construction schedule delay risk assessment by using combined AHP-RII methodology for an international NPP project MM Hossen, S Kang, J Kim Nuclear engineering and technology 47 (3), 362-379, 2015 | 147 | 2015 |
| An accident diagnosis algorithm using long short-term memory J Yang, J Kim Nuclear Engineering and Technology 50 (4), 582-588, 2018 | 87 | 2018 |
| Autonomous operation algorithm for safety systems of nuclear power plants by using long-short term memory and function-based hierarchical framework D Lee, PH Seong, J Kim Annals of Nuclear Energy 119, 287-299, 2018 | 63 | 2018 |
| Inter-relationships between performance shaping factors for human reliability analysis of nuclear power plants J Park, W Jung, J Kim Nuclear Engineering and Technology 52 (1), 87-100, 2020 | 62 | 2020 |
| Algorithm for autonomous power-increase operation using deep reinforcement learning and a rule-based system D Lee, AM Arigi, J Kim IEEE Access 8, 196727-196746, 2020 | 42 | 2020 |
| A comparison of the quantification aspects of human reliability analysis methods in nuclear power plants J Park, AM Arigi, J Kim Annals of Nuclear Energy 133, 297-312, 2019 | 41 | 2019 |
| An experimental investigation on relationship between PSFs and operator performances in the digital main control room J Park, D Lee, W Jung, J Kim Annals of Nuclear Energy 101, 58-68, 2017 | 40 | 2017 |
| Investigation on relationship between information flow rate and mental workload of accident diagnosis tasks in NPPs CH Ha, JH Kim, SJ Lee, PH Seong IEEE Transactions on Nuclear Science 53 (3), 1450-1459, 2006 | 40 | 2006 |
| Advanced MMIS toward substantial reduction in human errors in NPPs PH Seong, HG Kang, MG Na, JH Kim, G Heo, Y Jung Nuclear Engineering and Technology 45 (2), 125-140, 2013 | 32 | 2013 |
| The effect of information types on diagnostic strategies in the information aid JH Kim, PH Seong Reliability Engineering & System Safety 92 (2), 171-186, 2007 | 32 | 2007 |
| Treatment of human and organizational factors for multi-unit HRA: Application of SPAR-H method J Park, AM Arigi, J Kim Annals of Nuclear Energy 132, 656-678, 2019 | 31 | 2019 |
| Human and organizational factors for multi-unit probabilistic safety assessment: Identification and characterization for the Korean case AM Arigi, G Kim, J Park, J Kim Nuclear Engineering and Technology 51 (1), 104-115, 2019 | 31 | 2019 |
| Development of a quantitative resilience model for nuclear power plants JT Kim, J Park, J Kim, PH Seong Annals of Nuclear Energy 122, 175-184, 2018 | 30 | 2018 |
| A framework to collect human reliability analysis data for nuclear power plants using a simplified simulator and student operators J Park, RL Boring, TA Ulrich, R Lew, S Lee, B Park, J Kim Reliability Engineering & System Safety 221, 108326, 2022 | 28 | 2022 |
| Development of a diagnostic algorithm for abnormal situations using long short-term memory and variational autoencoder H Kim, AM Arigi, J Kim Annals of Nuclear Energy 153, 108077, 2021 | 27 | 2021 |
| Investigation on applicability of information theory to prediction of operator performance in diagnosis tasks at nuclear power plants JH Kim, SJ Lee, PH Seong IEEE transactions on nuclear science 50 (4), 1238-1252, 2003 | 24 | 2003 |
| Systematic development of scenarios caused by cyber-attack-induced human errors in nuclear power plants HE Kim, HS Son, J Kim, HG Kang Reliability Engineering & System Safety 167, 290-301, 2017 | 23 | 2017 |
| Identification of human-induced initiating events in the low power and shutdown operation using the Commission Error Search and Assessment method Y Kim, J Kim Nuclear Engineering and Technology 47 (2), 187-195, 2015 | 23 | 2015 |
| A direct methodology to establish design requirements for human–system interface (HSI) of automatic systems in nuclear power plants N Anuar, J Kim Annals of Nuclear Energy 63, 326-338, 2014 | 22 | 2014 |
| Accident diagnosis algorithm with untrained accident identification during power-increasing operation J Yang, J Kim Reliability Engineering & System Safety 202, 107032, 2020 | 20 | 2020 |
Jooyoung ParkIdaho National LaboratoryVerified email at inl.gov
