| RMC–A Monte Carlo code for reactor core analysis K Wang, Z Li, D She, J Liang, Q Xu, Y Qiu, J Yu, J Sun, X Fan, G Yu Annals of Nuclear Energy 82, 121-129, 2015 | 377 | 2015 |
| Benchmark for evaluation and validation of reactor simulations N Horelik, B Herman, M Ellis, S Kumar, J Liang, B Forget International Conference on Mathematics and Computational Methods Applied to …, 2013 | 73 | 2013 |
| Analysis of BEAVRS two-cycle benchmark using RMC based on full core detailed model K Wang, S Liu, Z Li, G Wang, J Liang, F Yang, Z Chen, X Guo, Y Qiu, ... Progress in Nuclear Energy 98, 301-312, 2017 | 51 | 2017 |
| BEAVRS full core burnup calculation in hot full power condition by RMC code S Liu, J Liang, Q Wu, JJ Guo, S Huang, X Tang, Z Li, K Wang Annals of Nuclear Energy 101, 434-446, 2017 | 47 | 2017 |
| Depletion capabilities in the OpenMC Monte Carlo particle transport code PK Romano, CJ Josey, AE Johnson, J Liang Annals of Nuclear Energy 152, 107989, 2021 | 44 | 2021 |
| Development of random geometry capability in RMC code for stochastic media analysis S Liu, D She, J Liang, K Wang Annals of Nuclear Energy 85, 903-908, 2015 | 38 | 2015 |
| New strategies of sensitivity analysis capabilities in continuous-energy Monte Carlo code RMC Y Qiu, J Liang, K Wang, J Yu Annals of Nuclear Energy 81, 50-61, 2015 | 35 | 2015 |
| Computing eigenvalue sensitivity coefficients to nuclear data by adjoint superhistory method and adjoint Wielandt method implemented in RMC code Y Qiu, X Shang, X Tang, J Liang, K Wang Annals of Nuclear Energy 87, 228-241, 2016 | 28 | 2016 |
| 2D full-core Monte Carlo pin-by-pin burnup calculations with the RMC code D She, J Liang, K Wang, B Forget Annals of Nuclear Energy 64, 201-205, 2014 | 23 | 2014 |
| Development of continuous-energy sensitivity analysis capability in OpenMC X Peng, J Liang, A Alhajri, B Forget, K Smith Annals of Nuclear Energy 110, 362-383, 2017 | 22 | 2017 |
| Computing eigenvalue sensitivity coefficients to nuclear data based on the CLUTCH method with RMC code Y Qiu, D She, X Tang, K Wang, J Liang Annals of Nuclear Energy 88, 237-251, 2016 | 18 | 2016 |
| An open time-series simulated dataset covering various accidents for nuclear power plants B Qi, X Xiao, J Liang, LC Po, L Zhang, J Tong Scientific data 9 (1), 766, 2022 | 16 | 2022 |
| Fault diagnosis techniques for nuclear power plants: a review from the artificial intelligence perspective B Qi, J Liang, J Tong Energies 16 (4), 1850, 2023 | 14 | 2023 |
| The NUIT code for nuclide inventory calculations J Li, D She, L Shi Annals of Nuclear Energy 148, 107690, 2020 | 14 | 2020 |
| Generation of the windowed multipole resonance data using Vector Fitting technique S Liu, X Peng, C Josey, J Liang, B Forget, K Smith, K Wang Annals of Nuclear Energy 112, 30-41, 2018 | 14 | 2018 |
| Domain decomposition strategy for pin-wise full-core Monte Carlo depletion calculation with the reactor Monte Carlo code J Liang, K Wang, Y Qiu, X Chai, S Qiang Nuclear Engineering and Technology 48 (3), 635-641, 2016 | 14 | 2016 |
| A method for neutron-induced gamma spectra decomposition analysis based on Geant4 simulation W Tang, JG Liang, Y Ge, Q Zhang Nuclear Science and Techniques 33 (12), 154, 2022 | 13 | 2022 |
| Combinatorial techniques for fault diagnosis in nuclear power plants based on Bayesian neural network and simplified Bayesian network-artificial neural network B Qi, L Zhang, J Liang, J Tong Frontiers in Energy Research 10, 920194, 2022 | 13 | 2022 |
| High-fidelity MC-DEM modeling and uncertainty analysis of HTR-PM first criticality R Li, Z Liu, Z Feng, J Liang, L Zhang Frontiers in Energy Research 9, 822780, 2022 | 12 | 2022 |
| Windowed multipole representation of -matrix cross sections P Ducru, A Alhajri, I Meyer, B Forget, V Sobes, C Josey, J Liang Physical Review C 103 (6), 064610, 2021 | 12 | 2021 |
JIANKAI YUResearch Scientist, Massachusetts Institute of Technology在 mit.edu 的电子邮件经过验证
