| PASCAR: Long burning small modular reactor based on natural circulation S Choi, JH Cho, MH Bae, J Lim, D Puspitarini, JH Jeun, HG Joo, ... Nuclear Engineering and Design 241 (5), 1486-1499, 2011 | 72 | 2011 |
| Advanced passive design of small modular reactor cooled by heavy liquid metal natural circulation YH Shin, S Choi, J Cho, JH Kim, IS Hwang Progress in Nuclear Energy 83, 433-442, 2015 | 45 | 2015 |
| Benchmarking of thermal hydraulic loop models for Lead-Alloy Cooled Advanced Nuclear Energy System (LACANES), phase-I: Isothermal steady state forced convection JH Cho, A Batta, V Casamassima, X Cheng, YJ Choi, IS Hwang, J Lim, ... Journal of nuclear materials 415 (3), 404-414, 2011 | 40 | 2011 |
| Development of a Bayesian belief network model for software reliability quantification of digital protection systems in nuclear power plants HG Kang, SH Lee, SJ Lee, TL Chu, A Varuttamaseni, M Yue, S Yang, ... Annals of Nuclear Energy 120, 62-73, 2018 | 33 | 2018 |
| URANUS: Korean lead-bismuth cooled small modular fast reactor activities S Choi, IS Hwang, JH Cho, CB Shim Small modular reactors symposium 54730, 107-112, 2011 | 25 | 2011 |
| Optimization of software development life cycle quality for NPP safety software based on a risk-cost model SH Lee, SJ Lee, SR Koo, A Varuttamaseni, M Yue, M Li, J Cho, HG Kang Annals of Nuclear Energy 135, 106961, 2020 | 23 | 2020 |
| Application of a deep learning technique to the development of a fast accident scenario identifier H Kim, J Cho, J Park IEEE Access 8, 177363-177373, 2020 | 20 | 2020 |
| Technical challenges in modeling human and organizational actions under severe accident conditions for Level 2 PSA J Kim, J Cho Reliability Engineering & System Safety 194, 106239, 2020 | 19 | 2020 |
| Quantification of LOCA core damage frequency based on thermal-hydraulics analysis J Cho, JH Park, DS Kim, HG Lim Nuclear Engineering and Design 315, 77-92, 2017 | 18 | 2017 |
| Probabilistic deep learning model as a tool for supporting the fast simulation of a thermal–hydraulic code S Ryu, H Kim, SG Kim, K Jin, J Cho, J Park Expert Systems with Applications 200, 116966, 2022 | 15 | 2022 |
| Exhaustive simulation approach for severe accident risk in nuclear power plants: OPR-1000 full-power internal events J Cho, SH Lee, YS Bang, S Lee, SY Park Reliability Engineering & System Safety 225, 108580, 2022 | 14 | 2022 |
| Realistic estimation of human error probability through Monte Carlo thermal-hydraulic simulation J Cho, Y Kim, J Kim, J Park, DS Kim Reliability Engineering & System Safety 193, 106673, 2020 | 13 | 2020 |
| Experimental studies and computational benchmark on heavy liquid metal natural circulation in a full height-scale test loop for small modular reactors YH Shin, J Cho, J Lee, H Ju, S Sohn, Y Kim, H Noh, IS Hwang Nuclear Engineering and Design 316, 26-37, 2017 | 13 | 2017 |
| Framework to model severe accident management guidelines into Level 2 probabilistic safety assessment of a nuclear power plant J Cho, SH Lee, J Kim, SK Park Reliability Engineering & System Safety 217, 108076, 2022 | 10 | 2022 |
| Natural circulation characteristics under various conditions on heavy liquid metal test loop KH Ryu, BM Ban, TH Lee, J Lee, SH Lee, JH Cho, S Ko, JH Kim International Journal of Thermal Sciences 132, 316-321, 2018 | 10 | 2018 |
| Application of a process mining technique to identifying information navigation characteristics of human operators working in a digital main control room–feasibility study J Park, JY Jung, G Heo, Y Kim, J Kim, J Cho Reliability Engineering & System Safety 175, 38-50, 2018 | 10 | 2018 |
| Identification of risk-significant components in nuclear power plants to reduce Cs-137 radioactive risk J Cho, SH Han Reliability Engineering & System Safety 211, 107613, 2021 | 9 | 2021 |
| Exhaustive test cases for the software reliability of safety-critical digital systems in nuclear power plants J Cho, SM Shin, SJ Lee, W Jung Nuclear Engineering and Design 352, 110151, 2019 | 8 | 2019 |
| Development of transportable capsule version of PEACER design IS Hwang, MH Kim, HG Joo, B Yoo, MH Kim, SR Oh, KW Yi, DY Han, ... ICAPP 8, 8-12, 2008 | 8 | 2008 |
| Bayesian belief network model quantification using distribution-based node probability and experienced data updates for software reliability assessment SJ Lee, SH Lee, TL Chu, A Varuttamaseni, M Yue, M Li, J Cho, HG Kang IEEE Access 6, 64556-64568, 2018 | 7 | 2018 |
