| Combined effects of load dynamics and dependence clusters on cascading failures in network systems J Zhou, N Huang, DW Coit, FA Felder Reliability Engineering & System Safety 170, 116-126, 2018 | 71 | 2018 |
| Resiliency-based restoration optimization for dependent network systems against cascading failures J Zhou, DW Coit, FA Felder, D Wang Reliability Engineering & System Safety 207, 107383, 2021 | 56 | 2021 |
| Economic and Resilience Benefit Analysis of Incorporating Battery Storage to Photovoltaic Array Generation J Zhou, S Tsianikas, DP Birnie III, DW Coit Renewable Energy, 2018 | 53 | 2018 |
| Economic trends and comparisons for optimizing grid-outage resilient photovoltaic and battery systems S Tsianikas, J Zhou, DP Birnie III, DW Coit Applied energy 256, 113892, 2019 | 36 | 2019 |
| Reliability analyses of k-out-of-n: F capability-balanced systems in a multi-source shock environment X Wang, R Ning, X Zhao, J Zhou Reliability Engineering & System Safety 227, 108733, 2022 | 30 | 2022 |
| Network resource reallocation strategy based on an improved capacity-load model J Zhou, N Huang, X Sun, L Xing, S Zhang Eksploatacja i Niezawodność 17 (4), 487-495, 2015 | 26 | 2015 |
| Adaptive deep learning-based remaining useful life prediction framework for systems with multiple failure patterns J Xiong, J Zhou, Y Ma, F Zhang, C Lin Reliability Engineering & System Safety 235, 109244, 2023 | 25 | 2023 |
| Controlled physics-informed data generation for deep learning-based remaining useful life prediction under unseen operation conditions J Xiong, O Fink, J Zhou, Y Ma Mechanical Systems and Signal Processing 197, 110359, 2023 | 23 | 2023 |
| Reliability evaluations for a multi-state k-out-of-n: F system with m subsystems supported by multiple protective devices X Wang, R Ning, X Zhao, J Zhou Computers & Industrial Engineering 171, 108409, 2022 | 21 | 2022 |
| Fusing physics-inferred information from stochastic model with machine learning approaches for degradation prediction Z Li, J Zhou, H Nassif, D Coit, J Bae Reliability Engineering & System Safety 232, 109078, 2023 | 19 | 2023 |
| A new model of network cascading failures with dependent nodes J Zhou, N Huang, X Sun, K Wang, H Yang 2015 Annual Reliability and Maintainability Symposium (RAMS), 1-6, 2015 | 19 | 2015 |
| A storage expansion planning framework using reinforcement learning and simulation-based optimization S Tsianikas, N Yousefi, J Zhou, MD Rodgers, D Coit Applied Energy 290, 116778, 2021 | 18 | 2021 |
| Hierarchical Bayesian support vector regression with model parameter calibration for reliability modeling and prediction S Haoyuan, M Yizhong, L Chenglong, Z Jian, L Lijun Reliability Engineering & System Safety 229, 108842, 2023 | 16 | 2023 |
| Reliability of cyber physical systems assessment of the aircraft fuel management system X Sun, N Huang, B Wang, J Zhou The 4th Annual IEEE International Conference on Cyber Technology in …, 2014 | 16 | 2014 |
| Battery selection for optimal grid-outage resilient photovoltaic and battery systems S Tsianikas, J Zhou, N Yousefi, DW Coit arXiv preprint arXiv:1901.11389, 2019 | 15 | 2019 |
| Combined optimization of system reliability improvement and resilience with mixed cascading failures in dependent network systems J Zhou, DW Coit, FA Felder, S Tsianikas Reliability Engineering & System Safety 237, 109376, 2023 | 14 | 2023 |
| An improved model for cascading failures in complex networks J Zhou, N Huang, X Wang, F Zhao 2012 IEEE 2nd International Conference on Cloud Computing and Intelligence …, 2012 | 13 | 2012 |
| Autonomous nondestructive evaluation of resistance spot welded joints J Zhou, D Wang, J Chen, Z Feng, B Clarson, A Baselhuhn Robotics and Computer-Integrated Manufacturing 72, 102183, 2021 | 11 | 2021 |
| Long-term microgrid expansion planning with resilience and environmental benefits using deep reinforcement learning K Pang, J Zhou, S Tsianikas, DW Coit, Y Ma Renewable and Sustainable Energy Reviews 191, 114068, 2024 | 10 | 2024 |
| Optimal restoration for resilience of dependency systems against cascading failures J Zhou, DW Coit, FA Felder IIE Annual Conference. Proceedings, 820-825, 2018 | 7 | 2018 |
David W. CoitProfessor of Industrial & Systems Engineering at Rutgers University在 soe.rutgers.edu 的电子邮件经过验证
